I Built a Production Web Scraper Template That Handles Everything (Open Source)

Every time I start a new scraping project, I rebuild the same things: retry logic, rate limiting, proxy rotation, error tracking. So I built a template. Now I clone it and start writing selectors in 5 minutes. python-web-scraper-template — open source, MIT licensed. What's Inside Async scraping with aiohttp (10x faster than requests) Exponential backoff retries (don't get banned) Rate limiting (configurable requests/sec) Proxy rotation (round-robin through proxy list) User-Agent rotation (5 realistic browser UAs) Pydantic models (validate data before export) 4 exporters — CSV, JSON, SQLite, PostgreSQL Docker support (run anywhere) Error tracking (success rate, error breakdown) Quick Start git clone https://github.com/spinov001-art/python-web-scraper-template.git cd python-web-scraper-template pip install -r requirements.txt python scraper.py --url "https://example.com" --output results.csv How to Customize The key file is scraper.py . Override the parse() method: from scraper import Sc