Google Related Questions

Google Related Questions

Retrieve additional Google "People also ask" / Related Questions results through Frevana.

Purpose

This skill is for expanding Google related questions using a next_page_token.

Inputs:

• next_page_token

Output:

• validated response JSON with Google Related Questions results

This endpoint follows the Frevana Google Related Questions API. It is not a keyword search endpoint: the required token must come from a related_questions item in a regular Google Search API response. If the user only provides a keyword, search phrase, or question, recommend running the regular Google Search skill first to fetch related_questions[].next_page_token, then continue this skill with that token.

What This Skill Needs

• user-provided next_page_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 a next_page_token.
2. If the user gives only a keyword, search phrase, or question text, do not guess or call this endpoint. Tell the user this skill needs next_page_token, recommend running the regular Google Search skill for the keyword first, then use a related_questions[].next_page_token from that response to continue.
3. Prefer the script over ad hoc curl commands.
4. Let the script read FREVANA_TOKEN first.
5. In interactive shell usage, if FREVANA_TOKEN is missing, the script may prompt for it.
6. 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.
7. Return the validated response JSON, or summarize the related questions if the user does not need the full payload.
8. When useful, also save the JSON to a file.

Commands

Basic related questions expansion

bash <skill-path>/scripts/search_google_related_questions.sh \
  --next-page-token "eyJvbnMiOiIxMDA0MSI..."

--next_page_token is accepted as an alias for --next-page-token.

Save response JSON to a file

bash <skill-path>/scripts/search_google_related_questions.sh \
  --next-page-token "eyJvbnMiOiIxMDA0MSI..." \
  --output ./out/google-related-questions-result.json

Token override for the current run

bash <skill-path>/scripts/search_google_related_questions.sh \
  --next-page-token "eyJvbnMiOiIxMDA0MSI..." \
  --token "your bearer token"

Fixed Request Shape

The script sends this payload shape:

{
  "next_page_token": "eyJvbnMiOiIxMDA0MSI..."
}

Only next_page_token is supported by the Frevana endpoint. Do not add unsupported passthrough fields such as engine, api_key, output, no_cache, async, or zero_trace.

Response Shape

The API returns Frevana JSON. Common fields include:

• search_metadata
• search_parameters
• related_questions

Each related_questions item can include fields such as question, type, snippet, title, link, displayed_link, source_logo, next_page_token.

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 --next-page-token or --next_page_token.
• If the user supplies only a search query or a question, recommend running the regular Google Search skill first to get related_questions[].next_page_token, then continue with this skill.
• The token is an input cursor for expanding a specific related question, not a general search term.
• 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 related questions the user actually cares about instead of dumping raw JSON unless they ask for the full payload.

Example Prompts

中文

• "用这个 next_page_token 查询 Google Related Questions，并总结问题列表"
• "展开这个 People Also Ask 的 next_page_token，保存原始 JSON"
• "查一下 Frevana google-related-questions endpoint，token 是 eyJvbnMiOiIxMDA0MSI..."

English

• "Use this next_page_token to fetch more Google Related Questions."
• "Expand this People Also Ask result and save the raw JSON."
• "Query Google Related Questions through Frevana with this token."
• "Search Google Related Questions for 'best coffee beans'." → Explain that a next_page_token is required and suggest using the regular Google Search skill first to obtain one.