Skill: justserpapi/justserpapi-google (version 1.0.2)

--- name: Google Search API description: Search Google web, news, maps, trends, shopping, scholar, finance, hotel, and media surfaces through Just Serp API. author: Just Serp API homepage: https://justserpapi.com/?utm_source=clawhub.ai&utm_medium=referral&utm_campaign=justserpapi_google&utm_content=project_link metadata: {"openclaw":{"homepage":"https://justserpapi.com/?utm_source=clawhub.ai&utm_medium=referral&utm_campaign=justserpapi_google&utm_content=project_link","primaryEnv":"JUST_SERP_API_KEY","requires":{"bins":["node"],"env":["JUST_SERP_API_KEY"]},"skillKey":"justserpapi_google"}} --- # Google SERP Use this skill for Google SERP research, search result collection, competitive intelligence, trend monitoring, local business lookups, and shopping or scholar analysis. It is the broad Google-facing skill for tasks that start from a keyword, a place, a domain, or a topic and need structured Google result data. ## When To Use It - The user wants Google web search, news search, image search, video search, or mobile SERP output for a keyword. - The task is about Google Maps, Local, Shopping, Trends, Scholar, Finance, Hotels, Lens, Jobs, or AI result surfaces. - The user can provide filters such as `query`, `country`, `language`, `domain`, `page`, `geo`, or a Google Maps place identifier. - The user needs API-backed Google result data for research, monitoring, ranking checks, or reporting instead of a freeform answer. ## Representative Operations - `search`: Search SERP — Pull standard Google web results for keyword research and ranking checks. - `mapsSearch`: Maps Search — Find Google Maps business results and local pack data for a query and location. - `TrendsSearch`: Trends Search — Inspect time-series search interest and related trend signals. - `ScholarSearch`: Scholar Search — Query academic search results and citation-oriented records. - `shoppingSearch`: Shopping Search — Collect product listings, merchants, and pricing signals from Google Shopping. ## Request Pattern - 31 read-only `GET` operations are available in this skill. - Common inputs are `query`, `country`, `domain`, `language`, `geo`, `page`, `html`, and feature-specific identifiers. - Most operations are query-only; none require a request body. - Prefer the narrowest Google vertical that matches the task instead of using generic search for everything. ## How To Work 1. Read `generated/operations.md` before choosing an endpoint. 2. Start with one of these operations when it matches the user's request: `search`, `mapsSearch`, `TrendsSearch`, `ScholarSearch`, `shoppingSearch`. 3. Pick the smallest matching operation instead of guessing. 4. Ask the user for any missing required parameter. Do not invent values. 5. Call the helper with: ```bash node {baseDir}/bin/run.mjs --operation "<operation-id>" --api-key "$JUST_SERP_API_KEY" --params-json '{"key":"value"}' ``` ## Environment - Required: `JUST_SERP_API_KEY` - This skill uses `JUST_SERP_API_KEY` only for authenticated Just Serp API requests. - Keep `JUST_SERP_API_KEY` private. Do not paste it into chat messages, screenshots, or logs. - Project site: [Just Serp API](https://justserpapi.com/?utm_source=clawhub.ai&utm_medium=referral&utm_campaign=justserpapi_google&utm_content=project_link). - Authentication details: [Just Serp API Docs](https://docs.justserpapi.com/?utm_source=clawhub.ai&utm_medium=referral&utm_campaign=justserpapi_google&utm_content=project_link). ## Output Rules - Lead with the Google surface you used and the exact query or filters applied. - For SERP-style responses, summarize the top result patterns before raw JSON. - For Maps, Shopping, Scholar, or Trends requests, highlight the entity, metric, or ranking signals most relevant to the user's decision. - If multiple Google verticals could answer the task, explain why the chosen endpoint was the best fit. - If the backend errors, include the backend payload and the exact operation ID.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)