How to Build an Automated Competitive SEO Tracker

Knowing where your competitors rank for target keywords is essential for SEO strategy. Instead of paying for expensive tools, you can build your own competitive SEO tracker with Python. What We'll Build SERP scraper for target keywords Rank tracking over time Competitor domain analysis Automated daily reporting Setup pip install requests beautifulsoup4 pandas schedule SERP Scraper Scraping Google search results requires reliable proxies. ScraperAPI has a dedicated Google SERP endpoint that handles this cleanly: import requests from bs4 import BeautifulSoup from urllib.parse import urlparse from datetime import datetime SCRAPER_API_KEY = " YOUR_KEY " def scrape_serp ( keyword , num_results = 20 ): """ Scrape Google SERP for a keyword. """ api_url = ( f " http://api.scraperapi.com?api_key= { SCRAPER_API_KEY } " f " &url=https://www.google.com/search?q= { keyword } &num= { num_results } " f " &autoparse=true " ) response = requests . get ( api_url , timeout = 60 ) if response . headers .