Google Search Performance Dataset — Ebook Converter Site (6,876 Records)

Dataset facts

Data source

Google Search Console — UI performance exports (query/page/country/device/date/appearance groups) and API snapshots; the Generative AI Features export is included with search_type=generative_ai.

Collection window

Data dates 2026-07-23 to 2026-09-04; source exports were taken between 2026-08-10 and 2026-09-05 (recorded per row in snapshot_date).

Sample size

6,876 records × 17 columns (CSV, UTF-8)

Download

Download google-search-performance.csv

Columns

source_engine, dimension, date, snapshot_date, query_key, query_raw, page_key, page_raw, domain, country, device, search_type, clicks, impressions, ctr, position, note

Methodology

• Every row was extracted from GSC exports as-is; no imputation, smoothing, or outlier removal. Unparseable numeric values (such as em dashes) are left empty rather than zero-filled.
• CTR percentages are converted to decimals. Dates are normalized to ISO YYYY-MM-DD.
• Each row keeps a snapshot_date showing when its source export was taken, so time-point exports are distinguishable from daily series.
• The Generative AI Features export only contains impressions in the source; clicks, CTR, and position are absent by design and left empty.

Limitations — read before citing

• This site had very low absolute traffic during the window; absolute click counts are not meaningful as a benchmark.
• Query-by-date granularity only exists for two API snapshot days; earlier dates have no per-day query data.
• Position values from UI exports are approximate. This dataset documents one niche site in one window; do not extrapolate it to other sites.