How to Scrape Google Search Results (SERP) with Python

Google Search results — also called SERP (Search Engine Results Pages) — are one of the most valuable data sources for SEO research, rank tracking, competitor analysis, and market research. In this guide, I'll show you how to collect SERP data with Python. Why Scrape Google SERPs? Rank tracking : Monitor where your site ranks for target keywords Competitor analysis : See who's ranking above you and what content they're using Keyword research : Discover related searches, People Also Ask, and featured snippets Ad intelligence : Track paid ad placements and copy Local SEO : Monitor local pack results across different locations The Challenge with Google Google is one of the hardest sites to scrape. They use sophisticated bot detection including CAPTCHAs, rate limiting, IP blocking, and behavioral analysis. Direct scraping is unreliable for production use. Method 1: Using a SERP API The most reliable approach for production is using a dedicated SERP API: import requests def search_google (