‘No GA Data’ means that for the metrics and dimensions queried, the Google API didn’t return any data for the URLs in the crawl. There are 3 filters currently under the ‘Analytics’ tab, which allow you to filter by ‘Sessions Above 0’, ‘Bounce Rate Above 70%’ and ‘No GA Data’. Fetching the data from the API is independent of the crawl, and it doesn’t slow down crawl speed itself. There’s a separate ‘Analytics’ progress bar in the top right and when this has reached 100%, crawl data will start appearing against URLs. When you hit ‘start’ to crawl, the Google Analytics data will then be fetched and display in respective columns within the ‘Internal’ and ‘Analytics’ tabs. If you have millions of URLs in GA, you can also choose to limit the number of URLs to query, which is by default ordered by sessions to return the top performing page data. There are circumstances where URLs in Google Analytics might not match URLs in a crawl, so we have a couple of common scenarios covered in our configuration, such as matching trailing and non-trailing slash URLs and case sensitivity (upper and lowercase characters in URLs). You can also set the dimension of each individual metric, as you may wish to collect data against page path and, or landing page for example. If you keep the number of metrics to 10 or below with a single dimension (as a rough guide), then it will generally be a single API query per 10k URLs, which makes it super quick – The SEO Spider currently allow you to select up to 20, which we might extend further. Then simply select the metrics that you wish to fetch. Once you have connected, you can choose the relevant Analytics account, property, view, segment and date range! Google APIs use the OAuth 2.0 protocol for authentication and authorisation. Then you just need to connect to a Google account (which has access to the Analytics account you wish to query) by granting the ‘Screaming Frog SEO Spider’ app permission to access your account to retreive the data. To set this up, start the SEO Spider and go to ‘Configuration > API Access > Google Analytics’. You can also collect other metrics of interest, such as Adsense data (Ad impressions, clicks revenue etc), site speed or social activity and interactions. If you’re running an Adwords campaign, you can also pull in impressions, clicks, cost and conversion data and we will match your destination URLs against the site crawl, too. The SEO Spider not only fetches user and session metrics, but it can also collect goal conversions and ecommerce (transactions and revenue) data for landing pages, so you can view your top performing pages when performing a technical or content audit. GA data is seamlessly fetched and matched to URLs in real time as you crawl, so you often see data start appearing immediately, which we hope makes the process more efficient.
To get a better understanding of a website’s organic performance, it’s often useful to map on-page elements with user data and SEOs have for a long-time combined crawl data with Google Analytics in Excel, particularly for Panda and content audits.
You can now connect to the Google Analytics API and pull in data directly during a crawl.
#SCREAMING FROG SEO SPIDER 4 FULL#
Therefore, version 4.0 has two new big features in the release, and here’s the full details – 1) Google Analytics Integration Rather than wait, we decided to release some of these features now, with much more on the way. We have been busy in development working on some significant improvements to the SEO Spider due for release later this year, which include a number of powerful new features we’ve wanted to release for a very longtime. I’m really pleased to announce version 4.0 of the Screaming Frog SEO Spider, codenamed internally as ‘Ella’.
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