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How to pull Google organic results and People Also Ask for SEO with Coreclaw API Directory

Run the Google Search Worker to collect organic results, related searches and PAA questions.

Authorization notice. Coreclaw API Directory is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forAn SEO analyst or content lead who tracks how search results and related questions change for target keywords.

The problemRecording search result pages by hand for many keywords is slow and hard to repeat.

The outcomeStructured organic results, related searches and People Also Ask entries for each keyword.

What you need first

  • A CoreClaw API key for running Workers (the README shows Authorization: Bearer YOUR_API_KEY)
  • curl, or any HTTP client that can send POST requests with headers and a JSON body
  • The input schema for the Worker you pick, since the README says required fields differ between Workers

Steps

  1. Get a CoreClaw API key and keep it private.
  2. Read the input schema for coreclaw/google-search-scraper to find the keyword and location fields.
  3. Run a test with one keyword: curl -X POST "https://openapi.coreclaw.com/api/v2/workers/coreclaw~google-search-scraper/runs" -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"input": {}, "is_async": true}' (inferred, check the README)
  4. Confirm the output includes organic results, related searches and People Also Ask entries.
  5. Repeat the run for your keyword list and store the results by date.

Prompt for your agent

Using the repo cporter202/coreclaw-api-directory, run the coreclaw~google-search-scraper Worker for the keyword <target keyword> and return the organic results, related searches and People Also Ask entries as structured output. Verify that the output contains organic results before you report completion.

Caveat. The README lists the Worker outputs but does not state result limits or how many keywords you can run, so check the input schema before running large batches.

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