advertools: the Python toolkit that replaces a drawer of SEO scripts
An open-source Python package for crawling, sitemap and robots.txt analysis, SERP tooling and log-file parsing, all under one pip install.
The SEO Bench
Google Search Console's own feature that schedules a free daily export of full, unsampled search performance data into a BigQuery dataset you own, past the thousand-row UI cap.
Every agency hits the same wall in Search Console: the Performance report UI caps out at a thousand rows, and the API sampling behind it quietly drops the long tail of queries you actually need for striking-distance work. Google's own Bulk Export closes that gap. Set it up once and Search Console writes your full, unsampled performance data into a BigQuery dataset you control, every day, automatically.
This is not a third-party workaround, it is the feature Google built specifically because the UI and the standard API were never meant to hold a property's entire query history. Once scheduled, the export runs daily with no further intervention, and every row, every query, every page, every date, lands in your own dataset. That is the entire point: your data, in your project, queryable with arbitrary SQL rather than whatever slice the UI decides to show you.
searchdata_site_impression and searchdata_url_impression tables directly in BigQuery.The feature itself is free. You pay only standard BigQuery storage and query costs, which for a single property is typically pennies a month. Once the data lands you can run genuine year-on-year comparisons, build query-level dashboards in Looker Studio, and join search data against anything else you hold in BigQuery, without ever touching the thousand-row ceiling again.
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