How can I pull search console keyword data into Python using the API to analyze long-tail search intent for a class project?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I pull search console keyword data into Python using the API to analyze long-tail search intent for a class project?
1 real search · 1 real-search pass
Google Search Console Search Analytics API query dimensions rowLimit startRow OAuth Python official documentationGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Google Search Console Search Analytics API query dimensions rowLimit startRow OAuth Python official documentation Google ↗
- Google Cloud Console · console.cloud.google.com
- Search Analytics API – Query · developers.google.com
- Search Analytics: query | Search Console API | Google for Developers · developers.google.cn
- googleapis.github.io · googleapis.github.io