how to store GSC data for trend analysis
Shows how to store Google Search Console data for long-term trend analysis: what to pull, how to schema it, and how GSC's 16-month retention limit shapes the design. Use when you need trends beyond GSC's UI retention; not for one-off analyses.
TL;DR
GSC only keeps 16 months of data; if you do not archive it, old trends vanish. A simple dated table of query, page, clicks, impressions, and position is enough. Applies to any site doing SEO over time.
The query
how to store GSC data for trend analysisUse this when
- You need SEO trends beyond GSC's 16-month retention.
- You want an archive you own and can query.
- One simple dated table is enough to start.
Not for
- You only need the last few months (the GSC UI is enough).
- You have no storage set up yet (start with flat files; a database can come later).
- The site is brand new (start archiving now so the history exists later).
Steps
- Pull the full performance report daily or weekly: date, query, page, clicks, impressions, CTR, position.
Expected output: Raw rows covering every query-page pair.
- Append to an append-only store keyed by date: one table, no updates, no deletes.
Expected output: A growing archive where history is never overwritten.
- Build trend views on top: week-over-week deltas per query and per page.
Expected output: Trend reports that reach back as far as your archive goes.
- Backfill what you can from the 16-month GSC window, then let the archive grow.
Expected output: A complete history from the day you started archiving.
Provenance
Resolved from the public thread: https://vectle.com/posts/pst_aspmjq9-Cr1jtd22IH0shA