MARKETING
How to Avoid Duplicate Conversions and Recreating the Conversion Funnel for GA4
The author’s views are entirely his or her own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.
As you’re probably all too aware at this point, GA4 is coming. Old versions of Google Analytics will be switched off for pretty much everyone come June 2023.
While GA4 is improving all the time, there are quite a few things that people are used to seeing in old versions of Analytics which, at the very least, take a bit of creativity in the new world.
One example is how conversions are handled. In the old versions of Google Analytics, a conversion could only fire once per session. In GA4 conversions are just another kind of event, so it’s possible for a conversion to fire multiple times in one session.
Problem is, you might be very interested if someone signs up via your contact-us form once. But that person might reload the thank-you page, or sign up for something else via a different form on the site. That doesn’t mean you necessarily want to track two conversions.
Speaking of signing up via different forms, on some websites, users may wind up on the same thank-you page having taken very different routes to get there. If we don’t have that much control, and we’re having to rely on thank-you page views to track conversions, it can be hard for us to separate out different kinds of conversions.
In old versions of GA you could use funnels with a “required” step. You might have one goal with a funnel requiring your event page, another goal with a funnel requiring a different page, and rely on them to give you different conversions. There also isn’t an obvious way to do this in GA4.
In this post, I’m going to take you through how to:
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Avoid double counting in GA4.
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Automatically ignore suspicious conversions (like people landing direct on the conversion page).
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Recreate the kind of funnels we expected in Universal Analytics (in fact we’ll make them better).
I’ll take you through a few bits in GA4 and others using Google Tag Manager. The GA4 approach is more straightforward, but the Tag Manager is more robust and can help you make sure that all of your conversion pixels are showing roughly the same information (because we’re long past the point where GA is the only place we’re recording conversions).
Managing conversions in GA4
This section is about changes we can make purely through the GA4 interface. As long as you’re sending your page views conversion events to GA4 you should be able to use these tactics without any code changes.
However: There are some limitations of doing things through GA4, for example it can mean that your GA data doesn’t line up with conversions recorded via other platforms.
Avoiding double-counting
Julius Fedorovicius (of Analytics Mania fame) has produced a fantastic guide to making sure that conversions are only recorded once per session.
You should have a read but broadly:
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You create a custom audience based on a sequence that begins with “session_start”
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You fire an event when someone enters that audience
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You use that event as your conversion.
No surprise that Julius has come up with a really smart way to handle the problem of double-counting:
If you’ve created Segments in Universal Analytics Audience sequences in GA4 look very like the sequences we used to create for Segments. However, the old Segments were just a way of visualizing data, whereas Audiences in GA4 are a way of grouping data. We can use Audiences to create something new.
That distinction is important because we can do cool things like fire custom events when someone enters an audience (which Julius makes use of in this solution).
Universal Analytics Segment sequence creator
GA4 Audience sequence creator
The limitations of using Google Analytics audiences
This isn’t really a limitation as far as GA goes but it’s a consideration nonetheless. Julius’ solution is great for making sure we’re not double-counting conversions in GA, but GA probably isn’t the only way we’re recording conversions.
The average site probably has a bunch of separate conversion tracking pixels and those could end up double-counting conversions.
For example: Facebook and Google both describe how they avoid double-counting conversions, but their solutions largely rely on exactly matching transaction IDs, and even if they’re handling it okay, there’s a bunch of smaller fish out there that are also offering conversion tracking and can need a bit more hand-holding.
If we want to make sure that we’re only recording one conversion per session, it’s useful to make sure all of our conversion tracking is working in a similar way. Tag Manager is a great solution for that (I describe a solution in the Tag Manager section below).
You can also run into problems if, for example, your confirmation page is somehow indexed or bookmarked by users — people landing directly on it can lead to weird unexpected conversions. We can also use Tag Manager to guard against that a little bit.
Recreating the conversion funnel
Sticking with the GA4 interface for now, we can also adapt the AnalyticsMania approach to create our funnel-based conversions too by adding additional steps to the sequence.
For what it’s worth, conversion funnels are not the ideal way to categorize conversions. If you can use anything more direct (like the id of the form they’ve filled out, a separate thank-you page) then that’s a much more reliable way to categorize conversions. That said, we don’t live in a perfect world, and sometimes there isn’t the option to completely rebuild your conversion process.
In Fedorovicius’ example we just have two steps in our audience sequence:
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Session_start
Indirectly followed by -
Conversion
Which basically means “someone lands on the site and then at any point during their session, they convert”.
To recreate the goal funnels you might be using in Universal Analytics – we can just add another step to the sequence. For instance:
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Session_start
Indirectly followed by -
Visiting our event_page
Indirectly followed by -
Landing on our thank you page/converting
That should mean we can create one conversion which is: Users who went through our event page and then converted.
And another conversion which is: Users who went through our sponsorship page and then converted.
There are some limitations here though, for example, what if someone:
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Landed on the site
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Visited our event page
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Then visited our sponsorship page
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Converted using the form on either.
They would fulfill the criteria for our event conversion and the criteria for our sponsorship conversion. We’d record a conversion for each and we’d end up double-counting after all.
This is also a limitation of the old Universal Analytics funnels: Just because a step in the funnel was required doesn’t mean the user can’t wander off around the site between that step and their final conversion. So, if it’s any consolation, this isn’t any worse than old Universal Analytics funnels (but we can still do better).
The problem with using “directly followed by”
You might say “well that’s easily solved — at the moment the sequence says is indirectly followed by and we can just change that to is directly followed by”.
Surely that would mean that someone is on the sponsorship page and goes directly from the sponsorship page to the thank you page, right?
Unfortunately that’s usually not what “directly followed by” means because there’s all kinds of things that can get recorded in analytics which aren’t page views.
For example if someone lands on the sponsorship page, and then scrolls down and lands on the thank you page, the thank you page view doesn’t directly follow the sponsorship page view. It goes:
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Page view: sponsorship
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Scroll
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Page view: thank you
So “directly followed by” isn’t an easy solution.
How about “within x minutes”?
GA4 has a really cool feature in the sequence builder where we can set a timer in-between steps. Even outside of tracking conversions within a session we can use it to keep track of cool things like people who came to our site, didn’t convert that time, but came back and converted within the next couple days.
Jill Quick has been talking a bunch about how powerful these options are.
We could use this to say something like: person landed on our event page and then landed on our thank you page within 10 minutes.
But as I’m sure you’ve guessed, that ends up being a kind of arbitrary cut off, maybe someone spends some time thinking about how to fill out our form, or maybe someone really quickly goes to one of our other pages and converts there. This could be better than the basic funnel, but we could also end up ignoring completely legitimate conversions.
So what do we do?
Using GA4 sequences for this is kind of fine, as I say above it’s certainly not worse than Universal Analytics, but we could do better with Google Tag Manager.
Managing conversions in Google Tag Manager
These approaches require you to run all your tracking via Tag Manager. Though even aside
from this, if you’re not already using Tag Manager, I’d advise you to look into it!
Since we need to keep track of what’s happened to a user across multiple pages, these solutions are also going to make use of cookies. In case that fills you with dread, don’t worry:
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I’m going to walk you through how to create and delete these cookies (it takes a little Javascript but it’s copy-paste and easier than you think!)
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These aren’t the kinds of cookies designed to give away people’s information to other services.
To reiterate what I say above: While this approach takes a bit more effort than just doing things through Google Analytics it allows us to do two things:
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Make sure all of our various tracking tags are firing in the same way
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Have more fine grained control, particularly if we’re trying to categorise different paths to conversion.
Avoiding double-counting
To recap what we want to do here, we want to make sure that if someone visits our site and converts we fire a conversion. However, if they revisit a thank you page, or go through a different conversion, we don’t fire a second conversion that session.
To do that, we’re going to:
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Set a cookie when a user converts.
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Make sure that the cookie automatically disappears after 30 minutes of inactivity (this is the default timeout for GA4 sessions but if you think that’s too short you can set it to whatever you want).
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Every time we go to fire a conversion, check if that cookie is present and, if it is, don’t fire the conversion.
That should mean that if someone comes to our site and converts, we’ll set the cookie, and that will stop us from firing any more conversions (GA4 or otherwise) until the user has taken a little time away from the site.
Setting a cookie in JavaScript
The first thing you need to know is that we can use Tag Manager to run any JavaScript we want. The second thing to know is that we can use JavaScript to set cookies.
So first: Go to Google Tag Manager, create a new Tag and select the Custom HTML type
Give the tag the name “[Tag] setCookieConverted” and in the html content paste:
<script>
// Get time 30 minutes from now (this is because the default GA session time out
// is half an hour and we want our cookie timeout to match)
var minutesToAdd = 30
var currentTime = new Date(); // Get current time
var newDateObj = new Date(currentTime.getTime() + minutesToAdd*60000); // Add our minutes on
// Set the domain your’re working on, this is because we want our cookies to be
// accessible in subdomains (like test.example.com) if needed
var yourDomain = “example.com”
// Set a cookie called ‘converted’ with the value being ‘true’ which expires in 30 minutes
document.cookie = “converted=true; path=/; domain=”+yourDomain+”; expires=”+newDateObj+”;”
</script>
It should look like this:
The custom HTML tag will add the content there to the page, and as soon as the page detects a new script (the one we’ve written) it’ll run that script.
What our script does is:
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It finds the current time, and what time it’ll be in half an hour.
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It uses that, and your domain, to set a cookie called “converted” which can be read by any page on your website.
When you go to save your tag it’ll probably say “No Triggers Selected”.
For now we’re going to click “Add trigger” and choose the “All Pages” trigger.
This is purely so that while we’re putting this together we can easily test it..
Reading our cookie value
Tag Manager has a built-in way to read cookie values using variables. So go to the variables section, create a new variable called “convertedCookie” and set the Cookie Name as “converted”.
Now, if you click the “Preview” button and open up your site we can start to look at what value the convertedCookie variable pulls through for you.
Click into the “Variables” tab and you should see convertedCookie somewhere in the list. Here’s an example with other cookies blocked out so you know what to look for.
So now we can use the value of that variable in Tag Manager as part of our logic.
Using conversion cookie in our conversion logic
Everyone’s conversion setup will be the different so this might not match what you’re doing exactly but if you’re considering using GTM I’m assuming you are firing conversions something like this:
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You have a trigger based on some condition (probably either a custom event or a pageview)
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You have a tag (or multiple tags) that send your conversion information whenever that trigger is activated.
What we’re going to do is tweak your trigger to add another condition.
Imagine that your trigger was previously firing on every thank-you page visit:
What we’re going to do is add a second condition to the trigger:
convertedCookie does not contain true
While this example uses the thank you page path, it doesn’t have to, it can be anything.
Once you make this change, you can go and test your conversion. Because you have another tag adding the converted cookie on each page view, your conversion shouldn’t fire when it normally would.
Now we just need to change our converted cookie so that it only appears after someone has converted.
At the moment we’re setting the “converted” cookie on every page view, so we’ll never get any conversions.
We need to update that so:
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We set a cookie when someone converts.
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Every time we load a page, if the person is marked as “converted” we reset the cookie (I‘ll explain).
Setting a cookie only when someone has converted
First: we need to remove the trigger from [Tag] setCookieConverted so it doesn’t fire at all.
Then we go to whatever tag we’re using to send our conversion, open up “Advanced Settings”, click “Tag Sequencing” and select “Fire a tag after”.
Then we select our setCookieConverted tag and check “Don’t fire if conversion tag fails”.
This should mean that whenever we send our conversion, we’ll automatically then activate our cookie tag and mark the user as converted.
So now our logic is:
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If someone converts, we check if there is a cookie saying they recently converted already.
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If they don’t have that cookie we send a conversion.
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Then we automatically set that cookie.
To test this, you can either clear the cookie or wait for it to expire. Here are instructions for how to clear cookies in Google Chrome (which you’re probably using if you’re working with tag manager).
Now, if you got into GTM preview and click around you should be able to look at your variables and see that convertedCookie is back to being ‘undefined’.
If you convert, you should see that both tags fire — your conversion tag and your setCookieConverted tag.
But if you convert again (reload the page, re-fill the form, whatever you’ve got to do) you should see that neither tag fires.
Congratulations! You’re filtering your conversions to avoid recording a conversion more than once for someone in a 30 minute window.
We just want to make one last tweak now.
Refreshing the cookie if it has been set
Our cookie has a 30 minute expiration. That means it’ll stick around for 30 minutes and then automatically be deleted from the browser. But what if someone hangs around on our website for more than half an hour, reading a blog post or something, and converts again?
To help deal with that, we’re going to add another trigger which checks if the user has recently converted, and if they have, refreshes the cookie with each new page load.
Head back to [Tag] setCookieConverted
At this point it should have no firing triggers. We’re going to add one back in.
Click the blue plus sign in this screen, and again in the next screen that comes up, we’re going to create a new trigger.
In the new trigger, we set it to fire only on page views where convertedCookie contains true.
So this gets a little bit circular, but basically:
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When someone converts we set a “converted” cookie for the next half hour.
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Every time someone loads a page, if they have a “converted” cookie we reset that cookie for another 30 minutes.
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If at any point the user doesn’t load a new page for 30 minutes, the cookie will expire, which means our refresh won’t be triggered.
You can test this by clicking around your site with the GTM preview. Once you’ve converted, the [Tag] setCookieConverted should fire on every new page load.
Wrapping up
All you need to do now is make sure that all of your conversion tags use that same trigger (the one that has the condition that convertedCookie isn’t “true”). Once that’s set up, they should all behave the same — only recording one conversion per session unless someone clears their cookies or just hangs around on one page for a very long time.
What if we find we’re getting weird conversions where users haven’t visited any other pages on the site?
I have worked with sites in the past where:
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There’s useful information on the thank-you page and users have been keeping it open/coming back to it.
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Confirmation pages have been indexed in Google or people are finding their way to the conversion page some other way.
That can lead to weird tracked conversions that don’t correspond to actual conversions. While these problems should be solved at source, we can also clear up our analytics using the steps in “Creating a conversion funnel” below.
Creating a conversion funnel
This builds on the cookie meddling we’ve done in the last section, so if you haven’t read that bit, it’s worth taking a look!
If you’re here not because you want a specific funnel but because you want to deal with weird conversions where users just land straight on the conversion page – don’t worry you follow these instructions exactly the same, you just set the trigger for every page except your conversion page (I’ll take you through that).
Setting a “path” cookie
Just like the “converted” cookie before, we’re going to create a new cookie that records the location of the current page.
Create a new Tag called [Tag] setCookiePath, choose “Custom HTML” and add the following JavaScript
<script>
// Get time 30 minutes from now (this is because the default GA session time out
// is half an hour and we want our cookie timeout to match)
var minutesToAdd = 30
var currentTime = new Date(); // Get current time
var newDateObj = new Date(currentTime.getTime() + minutesToAdd*60000); // Add our minutes on
// Set the domain your’re working on, this is because we want our cookies to be
// accessible in subdomains (like test.example.com) if needed
var yourDomain = “therobinlord.com”
var pagePathName = window.location.pathname // Get location of current page
// Set a cookie called ‘converted’ with the value being ‘true’ which expires in 30 minutes
document.cookie = “conversionPath=”+location+”; path=/; domain=”+yourDomain+”; expires=”+newDateObj+”;”
</script>
It should look like this:
This will save a cookie that records the location of the page. The first time it’s loaded it will create a new cookie with that information, every time after it’ll replace the value.
We’ll use this to make sure that whichever funnel page our user interacted with last is the one we record.
Triggering on your funnel pages
In creating our “funnel” we’re assuming that there are certain pages a user passes through in order to convert. So we’re going to set this to trigger only when one of those funnel pages is involved.
In your [Tag] setCookiePath tag – click to add a new trigger and create a new trigger.
We’re going to configure our tag to activate on every user click. This means that if a user is hopping between different funnel pages, each one will overwrite the cookie as they click around but only the one they interacted with last will be the one that sticks around in the cookie value.
Getting our funnelCookie
As in the double-counting instructions, create a new variable. But this time, call it funnelCookie and set the “Cookie Name” to conversionPath.
Once you’ve done that you should be able to test by using preview, going to any old page of your site (as long as it’s not one of your funnel pages) and checking funnelCookie in the Variables (it should be undefined).
Then go to one of your funnel pages, you should be able to see the cookie change.
As you visit other pages on the site, funnelCookie should stay the same, unless you visit another funnel page.
Changing our conversions based on the funnelCookie
Now, there are smart things you could do here with extracting the value of funnelCookie and putting that into a variable in your conversion tag but the setup for every tag will be different and I want to give you an option for if you’re not able to do that.
This will create a little bit more mess in your Tag Manager account because you’ll be duplicating some of your trigger and conversion tags.
First, let’s go back to the conversion trigger we were working on before. It looked like this when we left it:
We’re going to add in another condition:
funnelCookie contains event-page
This means now that this conversion will only fire if the last funnel page our user passed through was the event-page.
After this we can duplicate this trigger, our conversion tags, and, for our other set of conversions, change the funnelCookie value for the trigger.
Maybe instead we make it:
funnelCookiecontains form-page
Now you have two sets of conversions, each of which will fire based on which funnel page the user passed through. From there you can edit the values sent.
A couple caveats
Instead of duplicating our conversion tags it would be much better to pull in the value of the funnelCookie variable and use that to just dynamically change some of the values we’re sending as part of the conversion.
With this approach, you also run the risk of not recording any conversions at all if a user hasn’t passed through one of your funnel pages. That might be what you want, but it’s worth bearing that risk in mind in case you think people might take legitimate-but-unusual routes to conversion.
While I can’t take you through the process of updating all of your conversion tags, one option to make this information more ready for filling out conversion tags (and to optionally set a fallback in case you want to avoid losing conversions) is to use a lookup table like this, where you take the funnelCookie value and categorise the values.
Then instead of adding the funnelCookie value in your trigger, you keep the trigger the same and pull in the lookup table value.
Triggering on any page except your conversion page
If you’re not concerned about constructing page funnels but you want to make sure that users have visited at least one page before converting. There are a couple changes:
-
You don’t bother creating different conversion flows, you just have one flow, but you still add a funnelCookie requirement which says that your funnelCookie has to be some page rather than undefined
Conclusion
Hopefully this has helped you get an idea of how to get more control of the conversions being recorded on your site, whether that’s entirely through GA4 or using the power of Tag Manager.
Happy tracking!
MARKETING
4 White Label Tools to Help Brand Your Agency’s Services
As a digital marketing agency, your team renders its services to clients by using a stack of cloud-based tools. The services you offer might include building clients’ landing pages, optimizing their website’s search engine presence, capturing leads for them to nurture, running their email marketing campaigns, managing their social media, or any number of other options.
You likely already have a toolkit in place that helps you tackle all client work and communications. But are these tools helping you build your agency’s brand?
White-label tools are software-as-a-service (SaaS) solutions developed and maintained by third-party vendors that you can rebrand and customize to showcase as your own. You can tailor these tools to match your agency’s (or your client’s) branding — in terms of the logo, colors, fonts, etc.
This creates a consistent, agency-branded service experience that helps boost your client’s confidence in your agency, thus improving your reputation, loyalty, perceived value and bottom line. But for each marketing activity mentioned above, there are plenty of white-label tools to choose from. Hunting and figuring out the best ones is a rather time-consuming task.
This post is here to help. Here are four great white-label tools to brand your agency’s marketing services and deliver a more compelling client experience.
1. Tilda
A beautiful, functional website is the foundation of any brand’s online presence and marketing success. Tilda is an intuitive drag-and-drop platform that provides a quick and easy way to build your clients’ websites and landing pages.
Whether it’s for a one-time promotion or a downloadable content freebie, Tilda offers a wide range of pre-designed blocks that you can customize to suit your client’s landing page requirements in terms of design and functionality. Its visual editor allows you to add multimedia content (images, videos, etc.), use custom fonts, integrate payment systems, add animations, and a lot more.
It comes with a built-in CRM that collects statistics on leads and customers, giving visibility into your client’s website performance. On the Personal or Business Plan, you can remove the “Made on Tilda” label that is added to all pages by default. Coupled with a custom domain, this removes all mentions of Tilda, making it a feature-rich white-label website builder ideal for agencies.
The end result is a branded, responsive, fast-loading, and SEO-friendly website or page that helps you drive leads and revenue for your clients.
2. vcita
vcita is an all-in-one small business management platform that lets solo service providers and small teams centralize their routine operations: appointment scheduling, billing, payment collection, client management, and marketing.
With its white-label partner program built for agencies, vcita allows you to deploy an agency-branded web and mobile app that your clients can leverage to efficiently manage their schedules, cash flow, relationships, and nurture processes. You can even offer in-app education flows so your clients can easily learn how to make the most of the platform.
In doing so, you help your small business clients render a better service experience to their customers, as they can provide self-service appointment scheduling, messaging, and payment options while automating their bookings and invoicing processes — all from the vcita app branded as your own.
This helps your agency stay top of mind and upsell additional services based on the client’s business circumstances. You can also integrate other apps into your app’s dashboard, making it a hub for clients to collaborate with you on whatever projects you like. Plus, your branded app can bring in recurring subscription revenue.
3. BrightLocal
BrightLocal is a local marketing platform that provides small businesses with the tools to manage and improve their online presences. It helps with local search engine optimization (SEO), online reputation management, citation building, local link building, localized content creation, and competitive research.
Designed with agencies in mind, BrightLocal enables you to uncover SEO issues that need fixing and the best growth opportunities to rank higher and improve results for your clients. You can track your clients’ local rankings and citations, conduct local SEO audits, manage customer reviews, and provide clients with a live dashboard so they can monitor progress.
As a white-label SEO tool, it lets you create customizable SEO reports (online and PDF) branded with your agency’s logo and colors. You have complete control of the data clients can see. You can also set up automated, agency-branded email reports sent via your own unique white-label domain.
4. Campaign Monitor
A popular email marketing automation platform, Campaign Monitor offers professionally-designed templates on a simple drag-and-drop interface to create engaging email campaigns such as product announcements, newsletters, and event promotions.
You can segment your client’s customers based on purchase data and then build hyper-targeted segments to send highly personalized emails tailored to their individual interests.
Built with marketing agencies in mind, Campaign Monitor’s private labeling lets you give the platform a complete makeover — logos, fonts, colors, backgrounds, etc. — with your agency’s branding to provide your clients with a proprietary service experience.
A single dashboard gives you a master view to easily manage all client accounts. What’s more, Campaign Monitor integrates with many popular CRM and marketing tools such as Salesforce, helping you build stronger customer relationships for your clients.
Wrapping up
To sum up, white labeling enables you to offer your clients a consistent, agency-branded experience that helps you stand out from competitors, build credibility and authority, and solidify client relations.
Give the tools discussed above a test drive to start white labeling your service offerings right away.
MARKETING
5 Steps To Better Brainstorming That Works
Re:Think Innovation author Carla Johnson warns content marketers about brainstorming without doing anything to prime the work.
Omitting the critical preparation step, she says, prevents fresh inspiration. It can also lead to ideas that lack the proper audience focus, don’t align with your content strategy, and fall outside execution capabilities.
To help marketers avoid that trap, Carla developed an approach to generating valuable, viable innovation ideas. She calls it the Perpetual Innovation Process (PIP).
PIP shifts your team from their legacy thought patterns to surface novel ideas and manifests them into actionable marketing. It also builds a path around the pitfalls of traditional brainstorming.
Shift your #content team from legacy thought patterns to surface novel ideas and actionable marketing, says @joderama via @CMIContent. Click To Tweet
Here’s what the process involves and how you can use it to bring more exciting, innovative ideas to market.
Follow the Perpetual Innovation Process
Think of a marketing challenge for which you need an innovative solution. For example, you may struggle to think of a unique theme for a new brand podcast or create an event that advances your thought leadership.
Carla details each step in Re:Think Innovation, but with her permission, I’ve summarized the key points:
Set the stage
You need to know where you hope to arrive. So, before you start the perpetual innovation process, create an objective statement that puts the critical elements into focus.
“Setting an objective creates consensus about the outcome you’re ultimately looking to achieve. It helps you decide what problem you want to solve and how it bubbles up to your goal. It also aligns your team around the work that will need to get done,” Carla says.
Use Carla’s simple template (below) to set that objective. Fill in the blanks to detail why you need ideas, what they’re meant to accomplish for your business, and what constraints you’ll face on the way:
- The intention: “We need ideas to ___.”
- The impact: “So we can ____.”
- The realistic conditions: “With these constraints ____.”
Establish a brainstorming objective: We need ideas to ____, so we can _____, with these constraints _____ via @CarlaJohnson @joderama @CMIContent. Click To Tweet
Carla says constraints are part of the equation to come up with innovative ideas rather than just creative ones. “Anybody could have an amazing idea if they didn’t have to work within constraints like budget and time,” she says.
Setting real-world boundaries pushes a more disciplined form of thinking. “It provides a more cohesive view of your brand, which can spark opportunities to tell bigger, more impactful stories than the ones you initially envisioned,” Carla says.
Seek inspiration and make purposeful connections
Next, set your objective aside (you’ll return to it later) and work through the five steps in Carla’s innovation framework. In the end, not only will you have a stream of actionable ideas, but you can pitch them to secure stakeholder buy-in:
Step 1: Observe. Pay attention to the world around you, using all your senses. For example, you might see children, a ball, a few squirrels, or some trees if you’re outside. If you close your eyes, you might hear music playing faintly somewhere, smell food cooked on a grill, or feel a warm breeze.
You don’t need to ascribe any meaning to your observations or focus on an objective. Simply be mindful of your surroundings and write each detail you notice.
Step 2: Distill. Scrutinize those individual details and discern their meaning in relation to each other. Look for similarities and categorize them into larger groups and patterns. For example, if you group children and a ball, that might bring to mind the idea of play; the sound of music and the smell of the grill could connect to ideas of entertainment or friendship.
Step 3: Relate. See where opportunities might exist to tell a bigger story about your brand. Compare the similarities and differences in the identified patterns and look for ways they might fit into your working world.
Ask yourself: “How might we transplant the ‘essence’ of friendship into our event challenge?” Or, “How might we apply the idea of play to the theme of our podcast?”
Not all patterns will translate but remember: There are no wrong connections, just ones that may not fit your needs. Prioritize the most evident connections to your business for step four.
Step 4: Generate. Solidify those abstract ideas into real possibilities. Take the broad list of how-might-we questions from the previous step and generate as many content ideas as possible for each. Don’t set any limitations. In fact, the wilder and crazier your ideas are, the closer you get to a truly innovative – and executable – idea. Form them as what-if questions, such as “What if we tried to …” or “What if we combine X and Y into …?”
Systematically probe the viability of each one after the ideas stop flowing. Use the constraints from your objective statement to make go or no-go decisions on which to develop. Whittle the go idea list by asking practical questions. For example:
- Does the idea align with the brand’s priorities?
- Is it something the audience needs right now?
- Does the team have the bandwidth and budget to see it through?
- Will implementation require unavailable capabilities or technologies?
- Will other functional teams need to get involved?
Step 5: Pitch. You’ve already done the hard work by the time you reach this step. Carla refers to the pitch as “the journey of an idea, told in the form of a story.” If you can’t pitch the idea so others will understand and embrace it, you’ll never get it off the ground.
If you can’t pitch an idea so others embrace it, you’ll never get it off the ground, says @CarlaJohnson via @joderama @CMIContent. Click To Tweet
Tell the story of your idea, starting with observe (step one) and working the idea through generate (step four). Present that story through the lens of your audience. Think about what matters to them and how your idea will fit into their world as a cultural product.
Formulate three versions of the pitch – 30 seconds, 90 seconds, and five minutes. Practice delivering each one until you are comfortable enough to deliver them to your stakeholders.
Prepare to conquer your innovation challenges
With a systematic process for generating fresh – and properly focused – ideas, your team can rev up your creative output – and ramp up your ability to add real value to your brand’s experience.
Editor’s note: This article originally appeared in CCO.
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Cover image by Joseph Kalinowski/Content Marketing Institute
MARKETING
The Moz Links API: Touch Every Endpoint in Python
The purpose of this Jupyter Notebook is to introduce the Moz Links API using Python. This should work on any notebook hosting environment, such as Google Colab.
If you’re looking at this on Github, the code snippets can be copy/pasted into your own notebook environment. By the time you’ve run this script to the bottom, you will have used every Moz Links API endpoint, and can pick the parts you want for your own project. The official documentation can be found here.
Confused? Be sure to check out my intro to the Moz Links API.
Do global imports
The import statements at the top of a Python program are used to load external resources that are not loaded by default in the Python interpreter. These resources may include libraries or modules that provide additional functionality to the program.
Import statements are usually placed at the top of a program, before any other code is executed. This allows the program to load any necessary resources before they are needed in the program.
Once the resources have been loaded using import statements, they can be used anywhere in the program, not just in the cell where the import statement was written. This allows the program to access the functionality provided by the imported resources throughout its execution.
The libraries here not part of the standard Python library are requests and sqlitedict. You can install the with pip install requests and pip install sqlitedict in your terminal or a Jupyter cell. If you’re using Anaconda, requests is pre-installed.
import json import requests from headlines import * from pprint import pprint from sqlitedict import SqliteDict as sqldict
Load login values from external file
The code below reads a file named “linksapi.txt” from the “assets” directory, which contains the login credentials, including the access ID and secret key needed to access the Moz API. These credentials are extracted from the file and assigned to two variables named ACCESSID and SECRETKEY. The with statement is used to ensure that the file is properly closed after it’s been read. Create a file whose contents look like this with your credentials manually retreived from moz.com:
ACCESSID: mozscape-1234567890 SECRETKEY: 1234567890abcdef1234567890abcdef
Once the credentials are extracted from the file, they are stored in a tuple named AUTH_TUPLE. This tuple can be used as an argument to the Moz API functions to authenticate and authorize access to the data.
The purpose of this approach is to avoid hard-coding sensitive login credentials directly in the program, which could pose a security risk if the code was shared or published publicly. Instead, the credentials are kept in a separate file that is not included in the repository, and can be easily created and updated as needed. This way, the code can be shared without exposing the credentials to the public.
with open("../assets/linksapi.txt") as fh:
ACCESSID, SECRETKEY = [x.strip().split(" ")[1] for x in fh.readlines()]
AUTH_TUPLE = (ACCESSID, SECRETKEY) # Don't show contents
Configure variables
In this code, there are several configuration variables that are used to set up the API call to the Moz Links API.
The first variable, COMMON_ENDPOINT, is a constant that stores the endpoint URL for the Moz API. The second variable, sub_endpoint, is a string that represents the endpoint subpath for the anchor text data, which will be appended to the COMMON_ENDPOINT URL to form the complete API endpoint URL.
The fourth variable, data_dict, is a dictionary that contains the parameters for the API request. In this case, the data_dict specifies the target URL for which we want to retrieve anchor text data, the scope of the data (in this case, page-level), and a limit of 1 result.
Finally, the json_string variable is created by converting the data_dict dictionary into a JSON-formatted string using the json.dumps() function. This string will be used as the request body when making the API call.
These variables are used to configure and parameterize the API request, and can be modified to perform any data_dict request against any Moz Links API sub_endpoint.
COMMON_ENDPOINT = "https://lsapi.seomoz.com/v2/"
sub_endpoint = "anchor_text"
endpoint = COMMON_ENDPOINT + sub_endpoint
data_dict = {"target": "moz.com/blog", "scope": "page", "limit": 1}
json_string = json.dumps(data_dict)
Actually hit the API (ensure success)
In JupyterLab, the last line of a code cell is automatically printed to the output area without requiring an explicit print() statement. The code you provided is using the requests module to send a POST request to a URL url with data in the form of a JSON string json_string. The authentication details are passed using the AUTH_TUPLE variable.
After sending the request, the response object r is printed using the print() statement. This will print the HTTP status code, such as 200 for success, 404 for not found, etc., along with the response headers.
Finally, the .json() method is called on the response object response to parse the response data as JSON and return it as a Python dictionary. This dictionary can be assigned to a variable, used for further processing, or simply printed to the output area without requiring an explicit print() statement due to JupyterLab’s automatic printing behavior for the last line of a code cell.
response = requests.post(endpoint, data=json_string, auth=AUTH_TUPLE) pprint(response.json())
Outputs:
{'next_token': 'JYkQVg4s9ak8iRBWDiz1qTyguYswnj035nqjRF0IbW96IGJsb2e58hGzcmSomw==',
'results': [{'anchor_text': 'moz',
'external_pages': 7183,
'external_root_domains': 2038}]}
List Sub-endpoints
This code defines a list of different sub-endpoints that can be appended to a common URL prefix to make different API endpoints. An API endpoint is a URL where an API can be accessed by clients. It is a point of entry to the application that acts as a gatekeeper between the client and the server. Each endpoint is identified by a unique URL, which can be used to interact with the API.
In this code, the list of sub-endpoints is defined in the sub_endpoints variable, and each endpoint is represented as a string. The for loop iterates over the list, prints the index number and name of each sub-endpoint using the print function, and increments the index by 1. The enumerate function is used to generate a sequence of pairs consisting of an index and a value from the list.
This code is useful for exploring the available endpoints for a particular API and for selecting the endpoint that corresponds to the desired functionality. By changing the sub-endpoint in the URL, clients can access different resources or perform different operations on the server.
sub_endpoints = [
"anchor_text",
"final_redirect",
"global_top_pages",
"global_top_root_domains",
"index_metadata",
"link_intersect",
"link_status",
"linking_root_domains",
"links",
"top_pages",
"url_metrics",
"usage_data",
]
for i, sub_endpoint in enumerate(sub_endpoints):
print(i + 1, sub_endpoint)
Outputs:
1 anchor_text 2 final_redirect 3 global_top_pages 4 global_top_root_domains 5 index_metadata 6 link_intersect 7 link_status 8 linking_root_domains 9 links 10 top_pages 11 url_metrics 12 usage_data
Human-friendly labels
This code defines two lists: names and descriptions. The names list contains human-friendly labels for the set of sub-endpoints, while the descriptions list provides a brief description of each endpoint. The two lists are kept in the same order as the points list defined earlier in the code.
By keeping the three lists in the same order, they can be “zipped” together into a single list of tuples using the zip function. This produces a new list where each tuple contains the name, endpoint, and description for a particular API endpoint. This makes it easy to display a user-friendly summary of each API endpoint with its name and description.
The zip function combines the elements of the three lists element-wise, creating a tuple of the first elements from each list, then a tuple of the second elements, and so on. The resulting list of tuples can be iterated over, and each tuple unpacked to access the individual name, endpoint, and description elements for each API endpoint.
names = [
"Anchor Text",
"Final Redirect",
"Global Top Pages",
"Global Top Root Domains",
"Index Metadata",
"Link Intersect",
"Link Status",
"Linking Root Domains",
"Links",
"Top Pages",
"URL Metrics",
"Usage Data",
]
descriptions = [
"Use this endpoint to get data about anchor text used by followed external links to a target. Results are ordered by external_root_domains descending.",
"Use this endpoint to get data about anchor text used by followed external links to a target. Results are ordered by external_root_domains descending.",
"This endpoint returns the top 500 pages in the entire index with the highest Page Authority values, sorted by Page Authority. (Visit the Top 500 Sites list to explore the top root domains on the web, sorted by Domain Authority.)",
"This endpoint returns the top 500 pages in the entire index with the highest Page Authority values, sorted by Page Authority. (Visit the Top 500 Sites list to explore the top root domains on the web, sorted by Domain Authority.)",
"This endpoint returns the top 500 pages in the entire index with the highest Page Authority values, sorted by Page Authority. (Visit the Top 500 Sites list to explore the top root domains on the web, sorted by Domain Authority.)",
"Use this endpoint to get sources that link to at least one of a list of positive targets and don't link to any of a list of negative targets.",
"Use this endpoint to get information about links from many sources to a single target.",
"Use this endpoint to get linking root domains to a target.",
"Use this endpoint to get links to a target.",
"This endpoint returns top pages on a target domain.",
"Use this endpoint to get metrics about one or more urls.",
"This endpoint Returns the number of rows consumed so far in the current billing period. The count returned might not reflect rows consumed in the last hour. The count returned reflects rows consumed by requests to both the v1 (Moz Links API) and v2 Links APIs.",
]
# Simple zipping example
list(zip(names, sub_endpoints, descriptions))
Outputs:
[('Anchor Text',
'anchor_text',
'Use this endpoint to get data about anchor text used by followed external links to a target. Results are ordered by external_root_domains descending.'),
('Final Redirect',
'final_redirect',
'Use this endpoint to get data about anchor text used by followed external links to a target. Results are ordered by external_root_domains descending.'),
('Global Top Pages',
'global_top_pages',
'This endpoint returns the top 500 pages in the entire index with the highest Page Authority values, sorted by Page Authority. (Visit the Top 500 Sites list to explore the top root domains on the web, sorted by Domain Authority.)'),
('Global Top Root Domains',
'global_top_root_domains',
'This endpoint returns the top 500 pages in the entire index with the highest Page Authority values, sorted by Page Authority. (Visit the Top 500 Sites list to explore the top root domains on the web, sorted by Domain Authority.)'),
('Index Metadata',
'index_metadata',
'This endpoint returns the top 500 pages in the entire index with the highest Page Authority values, sorted by Page Authority. (Visit the Top 500 Sites list to explore the top root domains on the web, sorted by Domain Authority.)'),
('Link Intersect',
'link_intersect',
"Use this endpoint to get sources that link to at least one of a list of positive targets and don't link to any of a list of negative targets."),
('Link Status',
'link_status',
'Use this endpoint to get information about links from many sources to a single target.'),
('Linking Root Domains',
'linking_root_domains',
'Use this endpoint to get linking root domains to a target.'),
('Links', 'links', 'Use this endpoint to get links to a target.'),
('Top Pages',
'top_pages',
'This endpoint returns top pages on a target domain.'),
('URL Metrics',
'url_metrics',
'Use this endpoint to get metrics about one or more urls.'),
('Usage Data',
'usage_data',
'This endpoint Returns the number of rows consumed so far in the current billing period. The count returned might not reflect rows consumed in the last hour. The count returned reflects rows consumed by requests to both the v1 (Moz Links API) and v2 Links APIs.')]
Show an example request for each endpoint
This is a list of API requests in Python dict format, where each dictionary represents a request to a specific endpoint. Don’t hurt your brain too much trying to read it. Just know that I lifted each example from the original Moz documentation and listed them all here in order as nested Python dicts.
You could call the format is a dict of dicts, where each sub-dictionary corresponds to a specific endpoint, same order as the sub_endpoints, names, and descriptions lists for easy combining. The output of running the below cell is doing that list-combining to document every sub_endpoint.
dict_of_dicts = {
"anchor_text": {"target": "moz.com/blog", "scope": "page", "limit": 5},
"links": {
"target": "moz.com/blog",
"target_scope": "page",
"filter": "external+nofollow",
"limit": 1,
},
"final_redirect": {"page": "seomoz.org/blog"},
"global_top_pages": {"limit": 5},
"global_top_root_domains": {"limit": 5},
"index_metadata": {},
"link_intersect": {
"positive_targets": [
{"target": "latimes.com", "scope": "root_domain"},
{"target": "blog.nytimes.com", "scope": "subdomain"},
],
"negative_targets": [{"target": "moz.com", "scope": "root_domain"}],
"source_scope": "page",
"sort": "source_domain_authority",
"limit": 1,
},
"link_status": {
"target": "moz.com/blog",
"sources": ["twitter.com", "linkedin.com"],
"source_scope": "root_domain",
"target_scope": "page",
},
"linking_root_domains": {
"target": "moz.com/blog",
"target_scope": "page",
"filter": "external",
"sort": "source_domain_authority",
"limit": 5,
},
"top_pages": {"target": "moz.com", "scope": "root_domain", "limit": 5},
"url_metrics": {"targets": ["moz.com", "nytimes.com"]},
"usage_data": {},
}
for i, sub_endpoint in enumerate(sub_endpoints):
h1(f"{i + 1}. {names[i]} ({sub_endpoint})")
print(descriptions[i])
h4("Example request:")
pprint(dict_of_dicts[sub_endpoint])
print()
Outputs:
# 2. Final Redirect (final_redirect)
Use this endpoint to get data about anchor text used by followed external links to a target. Results are ordered by external_root_domains descending.
Example request:
{'page': 'seomoz.org/blog'}
[...]
Write a function that hits the API
If we’re going to hit an API over and over in mostly the same way, we want to spare ourselves re-typing everything all the time. That’s why we define functions. That’s the def in the below cell. Once that cell is run, the moz() function can be used anywhere in this Notebook. You need only feed it the sub_endpoint you want to use and a Python dict of your request. It will return the API’s response.
def moz(sub_endpoint, data_dict):
"""Hits Moz Links API with specified endpoint and request and returns results."""
json_string = json.dumps(data_dict)
endpoint = COMMON_ENDPOINT + sub_endpoint
# Below, data is a string (flattened JSON) but auth is a 2-position tuple.
response = requests.post(endpoint, data=json_string, auth=AUTH_TUPLE)
return response
This does not output anything to the screen. It just defines the function.
Conditionally hit the API
The code uses a Python package calledb which provides a persistent dictionary-like object that can be stored on disk using the SQLite database engine. The with statement in the code sets up a context manager for the SqliteDict object, which automatically handles opening and closing the database connection. The database file is stored at ../dbs/linksapi.db
The code iterates through each sub-endpoint in the sub_endpoints list, and checks if that data has already been retrieved. If it hasn’t, the API is called using the moz() function and the result is saved in the SqliteDict. The db.commit() statement ensures that any changes made to the dictionary during the iteration are saved to the database.
The SqliteDict serves as a local cache to prevent the API from being hit every time the code block is run if the data has already been collected. By using this cache, the code reduces the number of API requests required, which is useful when working with APIs that have quota limits. Congratulations, you’re using a database!
with sqldict("../dbs/linksapi.db") as db:
for sub_endpoint in sub_endpoints:
if sub_endpoint not in db:
print(sub_endpoint)
result = moz(sub_endpoint, dict_of_dicts[sub_endpoint])
db[sub_endpoint] = result
db.commit()
print("API hit and response saved!")
print()
h2("Done")
This does not output anything to the screen. It saves the results of the API-calls to a local database.
Show the locally-stored API responses
This code uses the sqldict context manager to open the SQLite database containing the previously retrieved API data. It then iterates over the keys in the database, which correspond to the endpoints that were previously retrieved.
For each key, the code prints the endpoint name, description, and the data retrieved from the API. The pprint function is used to print the JSON data in a more human-readable format, with indentation and line breaks that make it easier to read.
with sqldict("../dbs/linksapi.db") as db:
for i, key in enumerate(db):
h1(f"{i + 1}. {names[i]} ({key})")
print(descriptions[i])
print()
pprint(db[key].json())
print()
Outputs:
1. Anchor Text (anchor_text)
Use this endpoint to get data about anchor text used by followed external links to a target. Results are ordered by external_root_domains descending.
{'next_token': 'KIkQVg4s9ak8iRBWDiz1qTyguYswnj035n7bYI0Lc2VvbW96IGJsb2dKBcCodcl47Q==',
'results': [{'anchor_text': 'moz',
'external_pages': 7162,
'external_root_domains': 2026},
{'anchor_text': 'moz blog',
'external_pages': 15525,
'external_root_domains': 1364},
{'anchor_text': 'the moz blog',
'external_pages': 7879,
'external_root_domains': 728},
{'anchor_text': 'seomoz',
'external_pages': 17741,
'external_root_domains': 654},
{'anchor_text': 'https://moz.com/blog',
'external_pages': 978,
'external_root_domains': 491}]}
2. Final Redirect (final_redirect)
Use this endpoint to get data about anchor text used by followed external links to a target. Results are ordered by external_root_domains descending.
{'page': 'moz.com/blog'}
3. Global Top Pages (global_top_pages)
This endpoint returns the top 500 pages in the entire index with the highest Page Authority values, sorted by Page Authority. (Visit the Top 500 Sites list to explore the top root domains on the web, sorted by Domain Authority.)
{'next_token': 'BcLbRwBmrXHK',
'results': [{'deleted_pages_to_page': 11932076,
'deleted_pages_to_root_domain': 23942663640,
'deleted_pages_to_subdomain': 21555752652,
'deleted_root_domains_to_page': 64700,
'deleted_root_domains_to_root_domain': 3688228,
'deleted_root_domains_to_subdomain': 3516235,
'domain_authority': 96,
'external_indirect_pages_to_root_domain': 5042652519,
'external_nofollow_pages_to_page': 31163,
'external_nofollow_pages_to_root_domain': 12375460748,
'external_nofollow_pages_to_subdomain': 11393036086,
'external_pages_to_page': 118102549,
'external_pages_to_root_domain': 91362310623,
'external_pages_to_subdomain': 83283626903,
'external_redirect_pages_to_page': 0,
'external_redirect_pages_to_root_domain': 445730476,
'external_redirect_pages_to_subdomain': 432323198,
'http_code': 5,
'indirect_root_domains_to_page': 0,
'indirect_root_domains_to_root_domain': 701121,
'last_crawled': '2023-01-15',
'link_propensity': 1.76710455e-05,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 2,
'nofollow_pages_to_page': 31163,
'nofollow_pages_to_root_domain': 12375623717,
'nofollow_pages_to_subdomain': 11393036179,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 0,
'nofollow_root_domains_to_page': 980,
'nofollow_root_domains_to_root_domain': 3696150,
'nofollow_root_domains_to_subdomain': 3622349,
'page': 'www.facebook.com/Plesk',
'page_authority': 100,
'pages_crawled_from_root_domain': 1810872,
'pages_from_page': 0,
'pages_from_root_domain': 5289,
'pages_to_page': 118102549,
'pages_to_root_domain': 91368257043,
'pages_to_subdomain': 83288001442,
'redirect_pages_to_page': 0,
'redirect_pages_to_root_domain': 447189164,
'redirect_pages_to_subdomain': 433411292,
'root_domain': 'facebook.com',
'root_domains_from_page': 0,
'root_domains_from_root_domain': 32,
'root_domains_to_page': 491956,
'root_domains_to_root_domain': 59416650,
'root_domains_to_subdomain': 50993087,
'spam_score': 1,
'subdomain': 'www.facebook.com',
'title': ''},
{'deleted_pages_to_page': 5828966,
'deleted_pages_to_root_domain': 79909678,
'deleted_pages_to_subdomain': 79909678,
'deleted_root_domains_to_page': 16552,
'deleted_root_domains_to_root_domain': 98416,
'deleted_root_domains_to_subdomain': 98416,
'domain_authority': 94,
'external_indirect_pages_to_root_domain': 1177381629,
'external_nofollow_pages_to_page': 453328699,
'external_nofollow_pages_to_root_domain': 1643990147,
'external_nofollow_pages_to_subdomain': 1643990147,
'external_pages_to_page': 456279611,
'external_pages_to_root_domain': 2808523112,
'external_pages_to_subdomain': 2808523112,
'external_redirect_pages_to_page': 125,
'external_redirect_pages_to_root_domain': 24941546,
'external_redirect_pages_to_subdomain': 24941546,
'http_code': 3,
'indirect_root_domains_to_page': 723,
'indirect_root_domains_to_root_domain': 252606,
'last_crawled': '2023-01-14',
'link_propensity': 0.118001014,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 121166,
'nofollow_pages_to_page': 453328699,
'nofollow_pages_to_root_domain': 1644293277,
'nofollow_pages_to_subdomain': 1644293277,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 67627,
'nofollow_root_domains_to_page': 9800973,
'nofollow_root_domains_to_root_domain': 4959747,
'nofollow_root_domains_to_subdomain': 4959747,
'page': 'wordpress.com/?ref=footer_blog',
'page_authority': 100,
'pages_crawled_from_root_domain': 1731019,
'pages_from_page': 0,
'pages_from_root_domain': 1080338,
'pages_to_page': 456293004,
'pages_to_root_domain': 2817137385,
'pages_to_subdomain': 2817137385,
'redirect_pages_to_page': 125,
'redirect_pages_to_root_domain': 25449067,
'redirect_pages_to_subdomain': 25449067,
'root_domain': 'wordpress.com',
'root_domains_from_page': 0,
'root_domains_from_root_domain': 204262,
'root_domains_to_page': 9878742,
'root_domains_to_root_domain': 12653294,
'root_domains_to_subdomain': 12653294,
'spam_score': 1,
'subdomain': 'wordpress.com',
'title': ''},
{'deleted_pages_to_page': 3904778,
'deleted_pages_to_root_domain': 23942663640,
'deleted_pages_to_subdomain': 21555752652,
'deleted_root_domains_to_page': 11671,
'deleted_root_domains_to_root_domain': 3688228,
'deleted_root_domains_to_subdomain': 3516235,
'domain_authority': 96,
'external_indirect_pages_to_root_domain': 5042652519,
'external_nofollow_pages_to_page': 4449343,
'external_nofollow_pages_to_root_domain': 12375460748,
'external_nofollow_pages_to_subdomain': 11393036086,
'external_pages_to_page': 59602588,
'external_pages_to_root_domain': 91362310623,
'external_pages_to_subdomain': 83283626903,
'external_redirect_pages_to_page': 12625,
'external_redirect_pages_to_root_domain': 445730476,
'external_redirect_pages_to_subdomain': 432323198,
'http_code': 5,
'indirect_root_domains_to_page': 1632,
'indirect_root_domains_to_root_domain': 701121,
'last_crawled': '2023-01-16',
'link_propensity': 1.76710455e-05,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 2,
'nofollow_pages_to_page': 4449343,
'nofollow_pages_to_root_domain': 12375623717,
'nofollow_pages_to_subdomain': 11393036179,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 0,
'nofollow_root_domains_to_page': 28624,
'nofollow_root_domains_to_root_domain': 3696150,
'nofollow_root_domains_to_subdomain': 3622349,
'page': 'www.facebook.com/home.php',
'page_authority': 100,
'pages_crawled_from_root_domain': 1810872,
'pages_from_page': 0,
'pages_from_root_domain': 5289,
'pages_to_page': 59602589,
'pages_to_root_domain': 91368257043,
'pages_to_subdomain': 83288001442,
'redirect_pages_to_page': 12626,
'redirect_pages_to_root_domain': 447189164,
'redirect_pages_to_subdomain': 433411292,
'root_domain': 'facebook.com',
'root_domains_from_page': 0,
'root_domains_from_root_domain': 32,
'root_domains_to_page': 239697,
'root_domains_to_root_domain': 59416650,
'root_domains_to_subdomain': 50993087,
'spam_score': 1,
'subdomain': 'www.facebook.com',
'title': ''},
{'deleted_pages_to_page': 3440567,
'deleted_pages_to_root_domain': 3440700,
'deleted_pages_to_subdomain': 3440700,
'deleted_root_domains_to_page': 60839,
'deleted_root_domains_to_root_domain': 60840,
'deleted_root_domains_to_subdomain': 60840,
'domain_authority': 1,
'external_indirect_pages_to_root_domain': 7,
'external_nofollow_pages_to_page': 288,
'external_nofollow_pages_to_root_domain': 1499,
'external_nofollow_pages_to_subdomain': 1499,
'external_pages_to_page': 140954613,
'external_pages_to_root_domain': 140959216,
'external_pages_to_subdomain': 140959213,
'external_redirect_pages_to_page': 70,
'external_redirect_pages_to_root_domain': 70,
'external_redirect_pages_to_subdomain': 70,
'http_code': 200,
'indirect_root_domains_to_page': 0,
'indirect_root_domains_to_root_domain': 0,
'last_crawled': '2018-02-05',
'link_propensity': 0.3998428881,
'nofollow_pages_from_page': 12,
'nofollow_pages_from_root_domain': 805,
'nofollow_pages_to_page': 288,
'nofollow_pages_to_root_domain': 10799,
'nofollow_pages_to_subdomain': 10799,
'nofollow_root_domains_from_page': 2,
'nofollow_root_domains_from_root_domain': 7,
'nofollow_root_domains_to_page': 30,
'nofollow_root_domains_to_root_domain': 30,
'nofollow_root_domains_to_subdomain': 30,
'page': 'music.skyrock.com/',
'page_authority': 100,
'pages_crawled_from_root_domain': 2546,
'pages_from_page': 61,
'pages_from_root_domain': 3382,
'pages_to_page': 140956009,
'pages_to_root_domain': 141008586,
'pages_to_subdomain': 141008583,
'redirect_pages_to_page': 70,
'redirect_pages_to_root_domain': 70,
'redirect_pages_to_subdomain': 70,
'root_domain': 'music.skyrock.com',
'root_domains_from_page': 19,
'root_domains_from_root_domain': 1018,
'root_domains_to_page': 10609865,
'root_domains_to_root_domain': 10609868,
'root_domains_to_subdomain': 10609868,
'spam_score': 9,
'subdomain': 'music.skyrock.com',
'title': 'Blog de Music - DES NEWS, DES CLIPS, DES INTERVIEWS - '
'Skyrock.com'},
{'deleted_pages_to_page': 64159924,
'deleted_pages_to_root_domain': 17641375891,
'deleted_pages_to_subdomain': 336246205,
'deleted_root_domains_to_page': 63574,
'deleted_root_domains_to_root_domain': 1728606,
'deleted_root_domains_to_subdomain': 234073,
'domain_authority': 100,
'external_indirect_pages_to_root_domain': 19281720347,
'external_nofollow_pages_to_page': 34635431,
'external_nofollow_pages_to_root_domain': 7885369442,
'external_nofollow_pages_to_subdomain': 184067821,
'external_pages_to_page': 285612569,
'external_pages_to_root_domain': 55013651418,
'external_pages_to_subdomain': 1492976347,
'external_redirect_pages_to_page': 593282,
'external_redirect_pages_to_root_domain': 250423075,
'external_redirect_pages_to_subdomain': 5678006,
'http_code': 302,
'indirect_root_domains_to_page': 1072,
'indirect_root_domains_to_root_domain': 231256,
'last_crawled': '2023-04-01',
'link_propensity': 0.006248265505,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 991472,
'nofollow_pages_to_page': 34635436,
'nofollow_pages_to_root_domain': 7948674425,
'nofollow_pages_to_subdomain': 184068512,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 182393,
'nofollow_root_domains_to_page': 126656,
'nofollow_root_domains_to_root_domain': 2322389,
'nofollow_root_domains_to_subdomain': 304381,
'page': 'youtube.com/',
'page_authority': 100,
'pages_crawled_from_root_domain': 41258009,
'pages_from_page': 0,
'pages_from_root_domain': 11109186,
'pages_to_page': 285612606,
'pages_to_root_domain': 55255620288,
'pages_to_subdomain': 1493073570,
'redirect_pages_to_page': 593282,
'redirect_pages_to_root_domain': 263224806,
'redirect_pages_to_subdomain': 5678383,
'root_domain': 'youtube.com',
'root_domains_from_page': 0,
'root_domains_from_root_domain': 257791,
'root_domains_to_page': 598403,
'root_domains_to_root_domain': 23134271,
'root_domains_to_subdomain': 1927717,
'spam_score': 4,
'subdomain': 'youtube.com',
'title': ''}]}
4. Global Top Root Domains (global_top_root_domains)
This endpoint returns the top 500 pages in the entire index with the highest Page Authority values, sorted by Page Authority. (Visit the Top 500 Sites list to explore the top root domains on the web, sorted by Domain Authority.)
{'next_token': 'BcLbRwBmrXHK',
'results': [{'domain_authority': 100,
'link_propensity': 0.006248265505,
'root_domain': 'youtube.com',
'root_domains_to_root_domain': 23134271,
'spam_score': 4,
'to_target': {'deleted_pages': 0,
'nofollow_pages': 0,
'pages': 0,
'redirect_pages': 0}},
{'domain_authority': 100,
'link_propensity': 0.008422264829,
'root_domain': 'www.google.com',
'root_domains_to_root_domain': 14723695,
'spam_score': 14,
'to_target': {'deleted_pages': 0,
'nofollow_pages': 0,
'pages': 0,
'redirect_pages': 0}},
{'domain_authority': 100,
'link_propensity': 0.0001607139566,
'root_domain': 'www.blogger.com',
'root_domains_to_root_domain': 30580427,
'spam_score': -1,
'to_target': {'deleted_pages': 0,
'nofollow_pages': 0,
'pages': 0,
'redirect_pages': 0}},
{'domain_authority': 99,
'link_propensity': 0.04834850505,
'root_domain': 'linkedin.com',
'root_domains_to_root_domain': 12339087,
'spam_score': 1,
'to_target': {'deleted_pages': 0,
'nofollow_pages': 0,
'pages': 0,
'redirect_pages': 0}},
{'domain_authority': 99,
'link_propensity': 0.006264935713,
'root_domain': 'microsoft.com',
'root_domains_to_root_domain': 5344181,
'spam_score': 11,
'to_target': {'deleted_pages': 0,
'nofollow_pages': 0,
'pages': 0,
'redirect_pages': 0}}]}
5. Index Metadata (index_metadata)
This endpoint returns the top 500 pages in the entire index with the highest Page Authority values, sorted by Page Authority. (Visit the Top 500 Sites list to explore the top root domains on the web, sorted by Domain Authority.)
{'index_id': 'NE+lX5bFh06baS9ojUwVbw==',
'spam_score_update_days': ['2019-02-08',
'2020-03-28',
'2020-08-03',
'2020-11-13',
'2021-02-24',
'2021-05-19',
'2021-08-16',
'2021-11-02',
'2022-02-01',
'2022-05-10',
'2022-11-16']}
6. Link Intersect (link_intersect)
Use this endpoint to get sources that link to at least one of a list of positive targets and don't link to any of a list of negative targets.
{'next_token': 'AcmY2oCXQbbg',
'results': [{'domain_authority': 100,
'matching_target_indexes': [0],
'page': 'www.google.com/amp/www.latimes.com/local/lanow/la-me-ln-aliso-viejo-shooting-20171012-story,amp.html',
'spam_score': 14,
'title': ''}]}
7. Link Status (link_status)
Use this endpoint to get information about links from many sources to a single target.
{'exists': [False, False]}
8. Linking Root Domains (linking_root_domains)
Use this endpoint to get linking root domains to a target.
{'next_token': 'IokQVg4s9ak8iRBWDiz1qTyguYswnj035qBkmE3DU+JTtwAVhsjH7R6XUA==',
'results': [{'domain_authority': 99,
'link_propensity': 0.006264935713,
'root_domain': 'microsoft.com',
'root_domains_to_root_domain': 5344181,
'spam_score': 11,
'to_target': {'deleted_pages': 0,
'nofollow_pages': 0,
'pages': 2,
'redirect_pages': 0}},
{'domain_authority': 98,
'link_propensity': 0.02977741137,
'root_domain': 'wordpress.org',
'root_domains_to_root_domain': 12250296,
'spam_score': 2,
'to_target': {'deleted_pages': 0,
'nofollow_pages': 2,
'pages': 2,
'redirect_pages': 0}},
{'domain_authority': 96,
'link_propensity': 0.09679271281,
'root_domain': 'github.com',
'root_domains_to_root_domain': 2948013,
'spam_score': 2,
'to_target': {'deleted_pages': 0,
'nofollow_pages': 12,
'pages': 12,
'redirect_pages': 0}},
{'domain_authority': 96,
'link_propensity': 0.004641198553,
'root_domain': 'amazon.com',
'root_domains_to_root_domain': 5023132,
'spam_score': 28,
'to_target': {'deleted_pages': 0,
'nofollow_pages': 0,
'pages': 2,
'redirect_pages': 0}},
{'domain_authority': 95,
'link_propensity': 0.005770479795,
'root_domain': 'shopify.com',
'root_domains_to_root_domain': 2948087,
'spam_score': 1,
'to_target': {'deleted_pages': 3,
'nofollow_pages': 0,
'pages': 0,
'redirect_pages': 0}}]}
9. Links (links)
Use this endpoint to get links to a target.
{'next_token': 'AVvpJ4gPPvOY',
'results': [{'anchor_text': 'moz blog',
'date_disappeared': '',
'date_first_seen': '2020-06-29',
'date_last_seen': '2023-01-14',
'nofollow': True,
'redirect': False,
'rel_canonical': False,
'source': {'deleted_pages_to_page': 570,
'deleted_pages_to_root_domain': 1251501128,
'deleted_pages_to_subdomain': 1182759912,
'deleted_root_domains_to_page': 34,
'deleted_root_domains_to_root_domain': 322790,
'deleted_root_domains_to_subdomain': 314554,
'domain_authority': 96,
'external_indirect_pages_to_root_domain': 863103308,
'external_nofollow_pages_to_page': 1407,
'external_nofollow_pages_to_root_domain': 667480081,
'external_nofollow_pages_to_subdomain': 650421076,
'external_pages_to_page': 3710,
'external_pages_to_root_domain': 5309615021,
'external_pages_to_subdomain': 5086141938,
'external_redirect_pages_to_page': 14,
'external_redirect_pages_to_root_domain': 143685025,
'external_redirect_pages_to_subdomain': 142061138,
'http_code': 200,
'indirect_root_domains_to_page': 2,
'indirect_root_domains_to_root_domain': 180014,
'last_crawled': '2023-01-14',
'link_propensity': 0.09679271281,
'nofollow_pages_from_page': 199,
'nofollow_pages_from_root_domain': 7541042,
'nofollow_pages_to_page': 1407,
'nofollow_pages_to_root_domain': 678014273,
'nofollow_pages_to_subdomain': 660443683,
'nofollow_root_domains_from_page': 93,
'nofollow_root_domains_from_root_domain': 564314,
'nofollow_root_domains_to_page': 58,
'nofollow_root_domains_to_root_domain': 186407,
'nofollow_root_domains_to_subdomain': 171632,
'page': 'github.com/mezod/awesome-indie',
'page_authority': 68,
'pages_crawled_from_root_domain': 7254823,
'pages_from_page': 202,
'pages_from_root_domain': 8613796,
'pages_to_page': 3746,
'pages_to_root_domain': 5628821927,
'pages_to_subdomain': 5352019489,
'redirect_pages_to_page': 14,
'redirect_pages_to_root_domain': 145613441,
'redirect_pages_to_subdomain': 142856036,
'root_domain': 'github.com',
'root_domains_from_page': 96,
'root_domains_from_root_domain': 702214,
'root_domains_to_page': 231,
'root_domains_to_root_domain': 2948013,
'root_domains_to_subdomain': 2857538,
'spam_score': 2,
'subdomain': 'github.com',
'title': 'GitHub - mezod/awesome-indie: Resources for '
'independent developers to make money'},
'target': {'deleted_pages_to_page': 169073,
'deleted_pages_to_root_domain': 19022927,
'deleted_pages_to_subdomain': 18554702,
'deleted_root_domains_to_page': 1457,
'deleted_root_domains_to_root_domain': 27522,
'deleted_root_domains_to_subdomain': 27273,
'domain_authority': 91,
'external_indirect_pages_to_root_domain': 45290099,
'external_nofollow_pages_to_page': 7388,
'external_nofollow_pages_to_root_domain': 17425478,
'external_nofollow_pages_to_subdomain': 17269297,
'external_pages_to_page': 553261,
'external_pages_to_root_domain': 69376449,
'external_pages_to_subdomain': 68746190,
'external_redirect_pages_to_page': 265,
'external_redirect_pages_to_root_domain': 41112725,
'external_redirect_pages_to_subdomain': 41109338,
'http_code': 200,
'indirect_root_domains_to_page': 2219,
'indirect_root_domains_to_root_domain': 28779,
'last_crawled': '2023-04-02',
'link_propensity': 0.008849279955,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 209067,
'nofollow_pages_to_page': 7388,
'nofollow_pages_to_root_domain': 17442464,
'nofollow_pages_to_subdomain': 17285191,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 55943,
'nofollow_root_domains_to_page': 1727,
'nofollow_root_domains_to_root_domain': 37789,
'nofollow_root_domains_to_subdomain': 37690,
'page': 'moz.com/blog',
'page_authority': 69,
'pages_crawled_from_root_domain': 7872618,
'pages_from_page': 7,
'pages_from_root_domain': 343751,
'pages_to_page': 906052,
'pages_to_root_domain': 98442581,
'pages_to_subdomain': 97352802,
'redirect_pages_to_page': 746,
'redirect_pages_to_root_domain': 47575576,
'redirect_pages_to_subdomain': 47570092,
'root_domain': 'moz.com',
'root_domains_from_page': 5,
'root_domains_from_root_domain': 69667,
'root_domains_to_page': 9712,
'root_domains_to_root_domain': 179884,
'root_domains_to_subdomain': 178649,
'spam_score': 1,
'subdomain': 'moz.com',
'title': 'The Moz Blog [SEO] - Moz'},
'via_redirect': False,
'via_rel_canonical': False}]}
10. Top Pages (top_pages)
This endpoint returns top pages on a target domain.
{'next_token': 'BXULGXd3IggK',
'results': [{'deleted_pages_to_page': 1963527,
'deleted_pages_to_root_domain': 19022927,
'deleted_pages_to_subdomain': 18554702,
'deleted_root_domains_to_page': 6527,
'deleted_root_domains_to_root_domain': 27522,
'deleted_root_domains_to_subdomain': 27273,
'domain_authority': 91,
'external_indirect_pages_to_root_domain': 45290099,
'external_nofollow_pages_to_page': 9684724,
'external_nofollow_pages_to_root_domain': 17425478,
'external_nofollow_pages_to_subdomain': 17269297,
'external_pages_to_page': 14981546,
'external_pages_to_root_domain': 69376449,
'external_pages_to_subdomain': 68746190,
'external_redirect_pages_to_page': 3632556,
'external_redirect_pages_to_root_domain': 41112725,
'external_redirect_pages_to_subdomain': 41109338,
'http_code': 200,
'indirect_root_domains_to_page': 10580,
'indirect_root_domains_to_root_domain': 28779,
'last_crawled': '2023-04-01',
'link_propensity': 0.008849279955,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 209067,
'nofollow_pages_to_page': 9684724,
'nofollow_pages_to_root_domain': 17442464,
'nofollow_pages_to_subdomain': 17285191,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 55943,
'nofollow_root_domains_to_page': 8749,
'nofollow_root_domains_to_root_domain': 37789,
'nofollow_root_domains_to_subdomain': 37690,
'page': 'moz.com/',
'page_authority': 74,
'pages_crawled_from_root_domain': 7872618,
'pages_from_page': 7,
'pages_from_root_domain': 343751,
'pages_to_page': 15343034,
'pages_to_root_domain': 98442581,
'pages_to_subdomain': 97352802,
'redirect_pages_to_page': 3633007,
'redirect_pages_to_root_domain': 47575576,
'redirect_pages_to_subdomain': 47570092,
'root_domain': 'moz.com',
'root_domains_from_page': 5,
'root_domains_from_root_domain': 69667,
'root_domains_to_page': 41190,
'root_domains_to_root_domain': 179884,
'root_domains_to_subdomain': 178649,
'spam_score': 1,
'subdomain': 'moz.com',
'title': 'Moz - SEO Software for Smarter Marketing'},
{'deleted_pages_to_page': 185579,
'deleted_pages_to_root_domain': 19022927,
'deleted_pages_to_subdomain': 18554702,
'deleted_root_domains_to_page': 2440,
'deleted_root_domains_to_root_domain': 27522,
'deleted_root_domains_to_subdomain': 27273,
'domain_authority': 91,
'external_indirect_pages_to_root_domain': 45290099,
'external_nofollow_pages_to_page': 11211,
'external_nofollow_pages_to_root_domain': 17425478,
'external_nofollow_pages_to_subdomain': 17269297,
'external_pages_to_page': 424268,
'external_pages_to_root_domain': 69376449,
'external_pages_to_subdomain': 68746190,
'external_redirect_pages_to_page': 348,
'external_redirect_pages_to_root_domain': 41112725,
'external_redirect_pages_to_subdomain': 41109338,
'http_code': 200,
'indirect_root_domains_to_page': 1389,
'indirect_root_domains_to_root_domain': 28779,
'last_crawled': '2023-04-03',
'link_propensity': 0.008849279955,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 209067,
'nofollow_pages_to_page': 11211,
'nofollow_pages_to_root_domain': 17442464,
'nofollow_pages_to_subdomain': 17285191,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 55943,
'nofollow_root_domains_to_page': 2487,
'nofollow_root_domains_to_root_domain': 37789,
'nofollow_root_domains_to_subdomain': 37690,
'page': 'moz.com/beginners-guide-to-seo',
'page_authority': 72,
'pages_crawled_from_root_domain': 7872618,
'pages_from_page': 7,
'pages_from_root_domain': 343751,
'pages_to_page': 786960,
'pages_to_root_domain': 98442581,
'pages_to_subdomain': 97352802,
'redirect_pages_to_page': 365,
'redirect_pages_to_root_domain': 47575576,
'redirect_pages_to_subdomain': 47570092,
'root_domain': 'moz.com',
'root_domains_from_page': 5,
'root_domains_from_root_domain': 69667,
'root_domains_to_page': 15276,
'root_domains_to_root_domain': 179884,
'root_domains_to_subdomain': 178649,
'spam_score': 1,
'subdomain': 'moz.com',
'title': "Beginner's Guide to SEO [plus FREE quick start "
'checklist] - Moz'},
{'deleted_pages_to_page': 7159,
'deleted_pages_to_root_domain': 19022927,
'deleted_pages_to_subdomain': 18554702,
'deleted_root_domains_to_page': 1382,
'deleted_root_domains_to_root_domain': 27522,
'deleted_root_domains_to_subdomain': 27273,
'domain_authority': 91,
'external_indirect_pages_to_root_domain': 45290099,
'external_nofollow_pages_to_page': 8605,
'external_nofollow_pages_to_root_domain': 17425478,
'external_nofollow_pages_to_subdomain': 17269297,
'external_pages_to_page': 34152,
'external_pages_to_root_domain': 69376449,
'external_pages_to_subdomain': 68746190,
'external_redirect_pages_to_page': 70,
'external_redirect_pages_to_root_domain': 41112725,
'external_redirect_pages_to_subdomain': 41109338,
'http_code': 200,
'indirect_root_domains_to_page': 782,
'indirect_root_domains_to_root_domain': 28779,
'last_crawled': '2023-04-03',
'link_propensity': 0.008849279955,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 209067,
'nofollow_pages_to_page': 8754,
'nofollow_pages_to_root_domain': 17442464,
'nofollow_pages_to_subdomain': 17285191,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 55943,
'nofollow_root_domains_to_page': 1380,
'nofollow_root_domains_to_root_domain': 37789,
'nofollow_root_domains_to_subdomain': 37690,
'page': 'moz.com/google-algorithm-change',
'page_authority': 70,
'pages_crawled_from_root_domain': 7872618,
'pages_from_page': 420,
'pages_from_root_domain': 343751,
'pages_to_page': 35181,
'pages_to_root_domain': 98442581,
'pages_to_subdomain': 97352802,
'redirect_pages_to_page': 73,
'redirect_pages_to_root_domain': 47575576,
'redirect_pages_to_subdomain': 47570092,
'root_domain': 'moz.com',
'root_domains_from_page': 60,
'root_domains_from_root_domain': 69667,
'root_domains_to_page': 8881,
'root_domains_to_root_domain': 179884,
'root_domains_to_subdomain': 178649,
'spam_score': 1,
'subdomain': 'moz.com',
'title': 'Moz - Google Algorithm Update History'},
{'deleted_pages_to_page': 33133,
'deleted_pages_to_root_domain': 19022927,
'deleted_pages_to_subdomain': 18554702,
'deleted_root_domains_to_page': 1192,
'deleted_root_domains_to_root_domain': 27522,
'deleted_root_domains_to_subdomain': 27273,
'domain_authority': 91,
'external_indirect_pages_to_root_domain': 45290099,
'external_nofollow_pages_to_page': 31500,
'external_nofollow_pages_to_root_domain': 17425478,
'external_nofollow_pages_to_subdomain': 17269297,
'external_pages_to_page': 70673,
'external_pages_to_root_domain': 69376449,
'external_pages_to_subdomain': 68746190,
'external_redirect_pages_to_page': 77,
'external_redirect_pages_to_root_domain': 41112725,
'external_redirect_pages_to_subdomain': 41109338,
'http_code': 301,
'indirect_root_domains_to_page': 315,
'indirect_root_domains_to_root_domain': 28779,
'last_crawled': '2023-04-02',
'link_propensity': 0.008849279955,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 209067,
'nofollow_pages_to_page': 31628,
'nofollow_pages_to_root_domain': 17442464,
'nofollow_pages_to_subdomain': 17285191,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 55943,
'nofollow_root_domains_to_page': 1689,
'nofollow_root_domains_to_root_domain': 37789,
'nofollow_root_domains_to_subdomain': 37690,
'page': 'moz.com/researchtools/ose/',
'page_authority': 70,
'pages_crawled_from_root_domain': 7872618,
'pages_from_page': 0,
'pages_from_root_domain': 343751,
'pages_to_page': 344305,
'pages_to_root_domain': 98442581,
'pages_to_subdomain': 97352802,
'redirect_pages_to_page': 78,
'redirect_pages_to_root_domain': 47575576,
'redirect_pages_to_subdomain': 47570092,
'root_domain': 'moz.com',
'root_domains_from_page': 0,
'root_domains_from_root_domain': 69667,
'root_domains_to_page': 8086,
'root_domains_to_root_domain': 179884,
'root_domains_to_subdomain': 178649,
'spam_score': 1,
'subdomain': 'moz.com',
'title': ''},
{'deleted_pages_to_page': 169073,
'deleted_pages_to_root_domain': 19022927,
'deleted_pages_to_subdomain': 18554702,
'deleted_root_domains_to_page': 1457,
'deleted_root_domains_to_root_domain': 27522,
'deleted_root_domains_to_subdomain': 27273,
'domain_authority': 91,
'external_indirect_pages_to_root_domain': 45290099,
'external_nofollow_pages_to_page': 7388,
'external_nofollow_pages_to_root_domain': 17425478,
'external_nofollow_pages_to_subdomain': 17269297,
'external_pages_to_page': 553261,
'external_pages_to_root_domain': 69376449,
'external_pages_to_subdomain': 68746190,
'external_redirect_pages_to_page': 265,
'external_redirect_pages_to_root_domain': 41112725,
'external_redirect_pages_to_subdomain': 41109338,
'http_code': 200,
'indirect_root_domains_to_page': 2219,
'indirect_root_domains_to_root_domain': 28779,
'last_crawled': '2023-04-02',
'link_propensity': 0.008849279955,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 209067,
'nofollow_pages_to_page': 7388,
'nofollow_pages_to_root_domain': 17442464,
'nofollow_pages_to_subdomain': 17285191,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 55943,
'nofollow_root_domains_to_page': 1727,
'nofollow_root_domains_to_root_domain': 37789,
'nofollow_root_domains_to_subdomain': 37690,
'page': 'moz.com/blog',
'page_authority': 69,
'pages_crawled_from_root_domain': 7872618,
'pages_from_page': 7,
'pages_from_root_domain': 343751,
'pages_to_page': 906052,
'pages_to_root_domain': 98442581,
'pages_to_subdomain': 97352802,
'redirect_pages_to_page': 746,
'redirect_pages_to_root_domain': 47575576,
'redirect_pages_to_subdomain': 47570092,
'root_domain': 'moz.com',
'root_domains_from_page': 5,
'root_domains_from_root_domain': 69667,
'root_domains_to_page': 9712,
'root_domains_to_root_domain': 179884,
'root_domains_to_subdomain': 178649,
'spam_score': 1,
'subdomain': 'moz.com',
'title': 'The Moz Blog [SEO] - Moz'}]}
11. URL Metrics (url_metrics)
Use this endpoint to get metrics about one or more urls.
{'results': [{'deleted_pages_to_page': 1963527,
'deleted_pages_to_root_domain': 19022927,
'deleted_pages_to_subdomain': 18554702,
'deleted_root_domains_to_page': 6527,
'deleted_root_domains_to_root_domain': 27522,
'deleted_root_domains_to_subdomain': 27273,
'domain_authority': 91,
'external_indirect_pages_to_root_domain': 45290099,
'external_nofollow_pages_to_page': 9684724,
'external_nofollow_pages_to_root_domain': 17425478,
'external_nofollow_pages_to_subdomain': 17269297,
'external_pages_to_page': 14981546,
'external_pages_to_root_domain': 69376449,
'external_pages_to_subdomain': 68746190,
'external_redirect_pages_to_page': 3632556,
'external_redirect_pages_to_root_domain': 41112725,
'external_redirect_pages_to_subdomain': 41109338,
'http_code': 200,
'indirect_root_domains_to_page': 10580,
'indirect_root_domains_to_root_domain': 28779,
'last_crawled': '2023-04-01',
'link_propensity': 0.008849279955,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 209067,
'nofollow_pages_to_page': 9684724,
'nofollow_pages_to_root_domain': 17442464,
'nofollow_pages_to_subdomain': 17285191,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 55943,
'nofollow_root_domains_to_page': 8749,
'nofollow_root_domains_to_root_domain': 37789,
'nofollow_root_domains_to_subdomain': 37690,
'page': 'moz.com/',
'page_authority': 74,
'pages_crawled_from_root_domain': 7872618,
'pages_from_page': 7,
'pages_from_root_domain': 343751,
'pages_to_page': 15343034,
'pages_to_root_domain': 98442581,
'pages_to_subdomain': 97352802,
'redirect_pages_to_page': 3633007,
'redirect_pages_to_root_domain': 47575576,
'redirect_pages_to_subdomain': 47570092,
'root_domain': 'moz.com',
'root_domains_from_page': 5,
'root_domains_from_root_domain': 69667,
'root_domains_to_page': 41190,
'root_domains_to_root_domain': 179884,
'root_domains_to_subdomain': 178649,
'spam_score': 1,
'subdomain': 'moz.com',
'title': 'Moz - SEO Software for Smarter Marketing'},
{'deleted_pages_to_page': 249094,
'deleted_pages_to_root_domain': 224212706,
'deleted_pages_to_subdomain': 898844,
'deleted_root_domains_to_page': 3696,
'deleted_root_domains_to_root_domain': 177001,
'deleted_root_domains_to_subdomain': 9251,
'domain_authority': 95,
'external_indirect_pages_to_root_domain': 156562794,
'external_nofollow_pages_to_page': 163849,
'external_nofollow_pages_to_root_domain': 72093550,
'external_nofollow_pages_to_subdomain': 294697,
'external_pages_to_page': 1165187,
'external_pages_to_root_domain': 514661963,
'external_pages_to_subdomain': 2310818,
'external_redirect_pages_to_page': 3049,
'external_redirect_pages_to_root_domain': 4827448,
'external_redirect_pages_to_subdomain': 8140,
'http_code': 301,
'indirect_root_domains_to_page': 1439,
'indirect_root_domains_to_root_domain': 30315,
'last_crawled': '2023-03-31',
'link_propensity': 0.02704063244,
'nofollow_pages_from_page': 0,
'nofollow_pages_from_root_domain': 97163,
'nofollow_pages_to_page': 163881,
'nofollow_pages_to_root_domain': 72644206,
'nofollow_pages_to_subdomain': 294765,
'nofollow_root_domains_from_page': 0,
'nofollow_root_domains_from_root_domain': 22711,
'nofollow_root_domains_to_page': 5647,
'nofollow_root_domains_to_root_domain': 178651,
'nofollow_root_domains_to_subdomain': 11590,
'page': 'nytimes.com/',
'page_authority': 82,
'pages_crawled_from_root_domain': 13567138,
'pages_from_page': 0,
'pages_from_root_domain': 3152122,
'pages_to_page': 1170498,
'pages_to_root_domain': 763781494,
'pages_to_subdomain': 2489707,
'redirect_pages_to_page': 3053,
'redirect_pages_to_root_domain': 9268395,
'redirect_pages_to_subdomain': 14273,
'root_domain': 'nytimes.com',
'root_domains_from_page': 0,
'root_domains_from_root_domain': 366864,
'root_domains_to_page': 25307,
'root_domains_to_root_domain': 2200598,
'root_domains_to_subdomain': 62699,
'spam_score': 1,
'subdomain': 'nytimes.com',
'title': ''}]}
12. Usage Data (usage_data)
This endpoint Returns the number of rows consumed so far in the current billing period. The count returned might not reflect rows consumed in the last hour. The count returned reflects rows consumed by requests to both the v1 (Moz Links API) and v2 Links APIs.
{'rows_consumed': 254}
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