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データ・研究 · SKILL.md

serpapi-hello-world

serpapi-hello-world

Run a controlled first Google search through an official SerpAPI client and validate metadata before consuming result sections. Use when proving a new integration end to end. Trigger with "run a SerpAPI smoke test".

Independent GitHub snapshot · Automated classification · Original documentation governs

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GitHub

name: serpapi-hello-world description: 'Run a controlled first Google search through an official SerpAPI client and validate metadata before consuming result sections. Use when proving a new integration end to end. Trigger with "run a SerpAPI smoke test".' argument-hint: "[query] [python|javascript]" allowed-tools: Read, Glob, Grep, WebFetch, Write, Edit, Bash(python3:), Bash(npm:) version: 1.6.0 author: Jeremy Longshore jeremy@intentsolutions.io license: MIT tags: [saas, serpapi, google-search, smoke-test, sdk] model: inherit effort: medium compatibility: Designed for Claude Code; a live smoke test requires a valid server-side key and may consume search allowance

SerpAPI Controlled First Search

Overview

Prove authentication, transport, search status, and schema handling with one bounded query and a redacted receipt.

Prerequisites

  • An official SerpAPI client already installed
  • SERPAPI_KEY loaded from an approved server-side secret store
  • A harmless query, expected locale, allowance owner, and live-call approval

Tool Discipline

Use Read, Glob, and Grep to inspect local setup, WebFetch to verify current Google Search parameters, Write or Edit for the smoke-test code and redacted receipt, and Bash(python3:*) or Bash(npm:*) only to run the approved check.

Current Contract

Google Search uses engine=google and query parameter q. JSON responses expose search_metadata.status, a search ID, search parameters, and optional result sections. A successful search may legitimately contain no organic results.

Authentication

Pass the private key from SERPAPI_KEY through the official client. Never interpolate it into source, logs, exceptions, fixtures, screenshots, or receipts.

Instructions

  1. Confirm the query is non-sensitive and set explicit location, hl, and gl values when geographic reproducibility matters.
  2. Check Account API for available searches and hourly throughput without spending allowance.
  3. Preview one request with engine=google, q, and the minimum necessary parameters.
  4. After approval, execute exactly one search with a finite client timeout.
  5. Require search_metadata.status == "Success"; treat missing result sections as optional schema branches.
  6. Extract only the fields required by the caller and preserve the search ID for support correlation.
  7. Record client version, normalized parameters, status, elapsed time, result counts, and search ID with the key and sensitive query data redacted.

Output

Return the approved request shape, search status, result-section counts, search ID, redacted receipt location, and any schema assumptions that need fixtures.

Error Handling

ConditionResponse
HTTP 400Correct the engine-specific parameters; do not retry unchanged.
HTTP 401 or 403Stop and repair authorization without printing the key.
HTTP 429Inspect Account API before deciding whether to wait or increase allowance.
HTTP 5xx or timeoutRetry a bounded number of times with jitter and preserve the search ID if present.
Success with no organic resultsInspect other documented sections and the engine-specific _state; do not label it an API failure.

Example

import os
import serpapi

client = serpapi.Client(api_key=os.environ["SERPAPI_KEY"], timeout=15)
result = client.search({
    "engine": "google",
    "q": "coffee",
    "location": "Austin, Texas, United States",
    "hl": "en",
    "gl": "us",
})
assert result["search_metadata"]["status"] == "Success"
print({
    "search_id": result["search_metadata"]["id"],
    "organic_count": len(result.get("organic_results", [])),
})

Resources

Next Steps

Capture a sanitized response fixture and move subsequent parser work into the local-development workflow.

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