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Mechanism
Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When the user needs Google Search results data: SERP scraping, keyword ranking checks, SEO research, paid/ad monitoring, or exporting search results.
scripts/serp-extract.py via bash to parse server-rendered HTML and extract organic results, paid ads, related queries, PAA, AI Overview, total countstart; batch mode loops keywords in one session with delaysStructured JSON with search metadata, organic/paid listings, related queries, PAA, and AI Overview — ready for SEO analysis, competitor research, or data export.
Use Cases
An SEO specialist needs to track how a client's website ranks for 20 target keywords on Google US. They use this skill to batch-navigate search URLs per keyword in one browser session, extract organic result positions and titles, and export the structured JSON. This saves hours of manual checking and gives a clear ranking report for the client.
A marketing analyst monitors competitors' paid search ads on Google for a product category. Using this skill, they extract paid results and related queries from SERPs weekly, identifying ad copy and bidding keywords. The structured data helps refine their own PPC strategy and discover new keyword opportunities.
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