Bulk GSC Data Export Tool

Exporting GSC data by query vs. by page — when to use each

If your goal is finding keyword opportunities — queries where you rank but do not convert clicks — export by query. You'll see every search term that triggered an impression, its average position, and its CTR. Filter for position 5–15 with impressions above 100 and CTR below 2%: those are your CTR rescue candidates.

If you're doing a technical audit — finding pages with crawl issues, redirect chains, or thin content — export by page. One row per URL, summed across all queries that hit it, gives you a clean view of which pages are earning organic visibility and which are invisible.

Understanding the 25,000-row limit in bulk GSC exports

The GSC Search Analytics API caps each response at 25,000 rows. For most small to mid-size sites this is sufficient — a typical niche site generates 2,000–8,000 query-page combinations per month. But a high-traffic e-commerce site with hundreds of landing pages and thousands of branded vs. non-branded query variations can hit that ceiling quickly.

The fix is pagination: repeat the same API call with an incrementing startRow parameter (0, 25000, 50000…) until the response returns fewer than 25,000 rows, then concatenate the pages. Multi-Site SEO handles this automatically for every property.

Combining GSC export data with GA4 for a complete SEO picture

GSC tells you what users searched before clicking. GA4 tells you what they did after landing. Joining the two on landing page URL gives you a complete funnel: keyword → landing page → engagement time → conversion. Multi-Site SEO pulls both data sources and surfaces the combined view per site — so you can see that a page ranking at position 6 for "bulk gsc data export" is getting clicks but has a 78% bounce rate, pointing to a content-intent mismatch rather than a ranking problem.