SuperAPI AI Directory

google-news-search

Writing & research

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Updated 10-15 21:41

About this skill

Google News Search

Search Google News through Frevana.

Purpose

This skill is for finding Google News results.

Inputs:

  • q
  • optional gl
  • optional hl
  • optional topic_token
  • optional publication_token
  • optional section_token
  • optional story_token

Output:

  • validated response JSON with Google News search results

This skill validates that the response is JSON and returns it unchanged. Do not rewrite or reshape the returned data unless the user explicitly asks for a transformation.

What This Skill Needs

  • user-provided q
  • optional gl
  • optional hl
  • optional topic_token
  • optional publication_token
  • optional section_token
  • optional story_token
  • FREVANA_TOKEN in the environment variables, or an explicit --token override for the current run
  • curl
  • bash
  • python3

Execution Order

Use this flow so the request stays simple and reliable:

  1. Confirm the user has provided q or an equivalent search query.
  2. Prefer the script over ad hoc curl commands.
  3. Let the script read FREVANA_TOKEN first.
  4. In interactive shell usage, if FREVANA_TOKEN is missing, the script may prompt for it.
  5. In non-interactive or agent workflows, fail fast if the token is missing and tell the user to set FREVANA_TOKEN or pass --token explicitly.
  6. Return the validated response JSON, or summarize the most relevant news items if the user does not need the full payload.
  7. When useful, also save the JSON to a file.

Commands

Basic news search

bash <skill-path>/scripts/search_google_news.sh \
  --q "artificial intelligence"

--query is accepted as an alias for --q.

Search with country and language

bash <skill-path>/scripts/search_google_news.sh \
  --q "artificial intelligence" \
  --gl US \
  --hl en

Search with a Google News token

bash <skill-path>/scripts/search_google_news.sh \
  --q "economy" \
  --topic-token "CAAqJggKIiBDQkFTRWdvSUwyMHZNRGcxY1Y4U0FIVnVHZ0pWVXlnQVAB"

Save response JSON to a file

bash <skill-path>/scripts/search_google_news.sh \
  --q "artificial intelligence" \
  --gl US \
  --hl en \
  --output ./out/google-news-search-result.json

Token override for the current run

bash <skill-path>/scripts/search_google_news.sh \
  --q "artificial intelligence" \
  --token "your bearer token"

Fixed Request Shape

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

{
  "q": "artificial intelligence",
  "gl": "US",
  "hl": "en",
  "topic_token": "CAAq..."
}

Only q is required. Do not invent gl, hl, or token values when the user did not provide them.

Response Shape

The API returns JSON. This skill validates the response as JSON and returns it unchanged.

Output

  • Success: the script validates that the response body is JSON and prints it to stdout
  • With --output: the same JSON is also written to the specified file path
  • Failure: the script prints the response body or parsing error and exits non-zero

Notes

  • Require --q or --query
  • Use --gl when the user requests a specific country or region
  • Use --hl when the user requests a specific language
  • Use token fields only when the user provides the corresponding Google News token
  • If curl is missing, stop and tell the user to install curl
  • If python3 is missing, stop and tell the user to install python3
  • Do not echo the Bearer token back to the user
  • Summarize the news results the user actually cares about instead of dumping raw JSON unless they ask for the full payload

Example Prompts

Chinese

  • "Search Google News for AI news"
  • "Look up q=tesla, gl=US, hl=en in Google News"
  • "Use this topic_token to search Google News, and save the raw JSON"

English

  • "Search Google News for artificial intelligence"
  • "Look up Google News results for Tesla with gl=US and hl=en"
  • "Search Google News with this topic token and save the raw JSON to a file"