![]() ![]() (You can gather these from an existing Spider mode crawl). In my example, I took some URLs from our firm’s blog, created a file list.txt and saved URLs into it. The primary data source is an export of a scheduled SF crawl. Screaming Frog are planning to add this in the future, but until that time, follow this guide. ![]() To have it fully automated we also need this data to be appended (not overwritten) to a master Google Sheet. In order to use crawl data within a time-series in Data Studio, we need a Google Sheet export with a date/time dimension added when the crawl was run. This lets you gather data natively from a crawl, by an API connector, or even scraped by custom extraction – all of which can be reported and compared over time within Data Studio automatically. Looking to integrate your crawl results with Google Data Studio? Here’s a quick guide on how to build fully automated time-series reports with Data Studio, based on scheduled Screaming Frog crawls. View our updated guide on How To Automate Crawl Reports In Data Studio. ![]() Update: With the release of version 16 of the SEO Spider, you can now schedule a bespoke export designed for Data Studio integration directly within the tool. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |