SuperAPI AI Directory

google-local-services-search

Data & analytics

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Updated 10-15 21:41

About this skill

Google Local Services Search

Search Google Local Services through Frevana.

Purpose

This skill calls Frevana's /service/google-local-services endpoint and returns the SerpAPI response unchanged.

Required input: q, data_cid.

Supported request fields:

  • q (required)
  • data_cid (required)
  • hl
  • job_type
  • cid
  • bid
  • pid
  • no_cache
  • async
  • zero_trace

The script validates that the response is JSON and prints it to stdout. Do not rewrite or reshape returned data unless the user explicitly asks for a transformation.

What This Skill Needs

  • query and data CID
  • FREVANA_TOKEN in the environment variables, or --token for the current run
  • curl, bash, and python3

The API base URL defaults to https://ai-factory.frevana.com. Set FREVANA_API_BASE_URL to point at another host.

Commands

Search local services

bash <skill-path>/scripts/search_google_local_services.sh \
  --q "plumbers" \
  --data-cid "14414772292044717666"

Save JSON to a file

bash <skill-path>/scripts/search_google_local_services.sh \
  --q "Q" \
  --data-cid "DATA_CID" \
  --output "./out/google-local-services-search.json"

Fixed Request Shape

The script sends this payload shape, omitting optional fields that were not provided:

{
  "q": "Q",
  "data_cid": "DATA_CID",
  "hl": "HL",
  "job_type": "JOB_TYPE",
  "cid": "CID",
  "bid": "BID",
  "pid": "PID",
  "no_cache": true
}

Do not pass unsupported fields. Do not pass SerpAPI engine or api_key; Frevana sets those server-side. Use --output for local file saving.

Output

  • Success: validated JSON on stdout
  • With --output: the same JSON is also written to the requested file
  • Failure: response body or parsing error on stderr, with a non-zero exit code

Example Prompts

  • "Search Google Local Services for query and data CID."
  • "Run Google Local Services Search and save the raw JSON."