serpapi-core-workflow-a

name	serpapi-core-workflow-a
description	Google Search scraping with SerpApi -- organic results, knowledge graph, answer boxes. Use when building search-powered features, SEO monitoring, or extracting structured data from Google results. Trigger: "serpapi google search", "scrape google", "serpapi organic results".
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.4.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","search","seo","serpapi"]
compatibility	Designed for Claude Code

SerpApi Core Workflow A: Google Search

Overview

Extract structured data from Google Search: organic results, answer boxes, knowledge graph, related questions (PAA), local pack, ads, and shopping results. Each search costs 1 API credit.

Instructions

Step 1: Full Google Search with All Components

import serpapi, os

client = serpapi.Client(api_key=os.environ["SERPAPI_API_KEY"])

result = client.search(
    engine="google",
    q="best project management tools",
    location="New York, New York",
    hl="en", gl="us",
    num=10,
)

# 1. Organic Results
for r in result.get("organic_results", []):
    print(f"{r['position']}. {r['title']}")
    print(f"   URL: {r['link']}")
    print(f"   Snippet: {r.get('snippet', 'N/A')}")
    # Rich snippets: sitelinks, rating, date
    if "rich_snippet" in r:
        print(f"   Rating: {r['rich_snippet'].get('top', {}).get('rating')}")

# 2. Answer Box
if ab := result.get("answer_box"):
    print(f"\nAnswer Box ({ab.get('type', 'unknown')}):")
    print()


 kg := result.get():
    ()
    ()
    ()


 paa  result.get(, []):
    ()
    ()


 rs  result.get(, []):
    ()