Amazon Bestsellers Scraper is a Python-based tool to efficiently scrape top-selling products on Amazon.
It collects structured data including product titles, prices, ratings, and URLs, making it perfect for e-commerce analysis, affiliate research, or market insights.
- Extract real-time product data from Amazon Bestsellers
- Automate multi-category scraping
- Export results in CSV, JSON, or Excel
- Mimic human browsing to reduce IP blocks
- Customizable scraping with CLI or config file
| Feature | Description |
|---|---|
| Scrape Product Data | Extract product name, price, rating, and product link from Amazon Bestsellers pages. |
| Category Support | Scrape multiple categories like Electronics, Books, Toys, and more. |
| Pagination Handling | Automatically scrape multiple pages per category. |
| Export Data | Save scraped data as CSV, JSON, or Excel for analysis. |
| Proxy & IP Rotation | Optional proxy support to prevent IP bans. |
| Delay & Throttle Requests | Randomized delays and throttling to mimic human browsing. |
| CLI & Configurable Options | Choose categories, number of pages, and output format via config file or CLI arguments. |
| Logging | Track successful scrapes, errors, and skipped products. |
- E-commerce marketers & affiliates
- Amazon sellers and competitors
- Data analysts and researchers
- Python developers learning web scraping
python -m venv .venv && source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt
# Convert example CSV → JSON
python src/cli.py --csv data/examples.csv --out data/examples.json
# Start local practice server
uvicorn src.practice_api:app --reload --port 8000
# Open web UI
# Serve the web/ folder (e.g., with VS Code Live Server) or a quick Python server:
# In another terminal:
# cd web && python -m http.server 5500
# Then open http://localhost:5500 and upload data/examples.json