google-ads-search

Google Ads Search

Search Google Ads through Frevana.

Purpose

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

Required input: q, location.

Supported request fields:

• q (required)
• location (required)
• hl
• safe
• nfpr
• device
• 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 location
• 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 ads

bash <skill-path>/scripts/search_google_ads.sh \
  --q "project management software" \
  --location "Austin, Texas, United States"

Save JSON to a file

bash <skill-path>/scripts/search_google_ads.sh \
  --q "Q" \
  --location "LOCATION" \
  --output "./out/google-ads-search.json"

Fixed Request Shape

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

{
  "q": "Q",
  "location": "LOCATION",
  "hl": "HL",
  "safe": "SAFE",
  "nfpr": 1,
  "device": "DEVICE",
  "no_cache": true,
  "async": 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 Ads for query and location."
• "Run Google Ads Search and save the raw JSON."