Amazon price scraper - track prices and extract pricing history
The All-in-One Web Scraping & Data Platform — Scrape Google Maps, Instagram, Amazon, LinkedIn, TikTok, YouTube, and 50+ platforms via ready-to-use REST APIs.
✅ No browser automation · ✅ No proxy management · ✅ Free credits for new users
- Track Amazon product prices over time
- Get price history and trend analysis
- Set price drop alerts and notifications
- Extract current price, list price, and deal price
- Monitor price changes across multiple ASINs
- Historical price data export
- CamelCamelCamel alternative
- Export to JSON, CSV, or Excel with timestamps
Monitor competitor pricing, track price history for buy decisions, set up price drop alerts, or build Amazon price tracking dashboards.
| Field | Description |
|---|---|
asin |
Amazon ASIN |
current_price |
Current selling price |
list_price |
Original list price |
deal_price |
Deal price (if active) |
currency |
Price currency |
timestamp |
Price check timestamp |
price_history |
List of historical prices |
lowest_price |
Lowest recorded price |
highest_price |
Highest recorded price |
# config.py
CONFIG = {
"max_concurrent": 5,
"rate_limit_ms": 1000,
"proxy_list": [], # Add your proxy URLs
"output_format": "json", # json, csv, excel
"country": "com", # amazon.com, amazon.co.uk, etc.
}scrape_amazon_price("B08N5WRWNW")
# Gets current and historical prices
# Returns: {'asin': '...', 'current_price': 29.99, 'history': [...], ...}This project is licensed under the MIT License — see the LICENSE file for details.
Built with ❤️ for the web scraping community
pip install git+https://github.com/data-scrape/amazon-price-scraper.gitgit clone https://github.com/data-scrape/amazon-price-scraper.git
cd amazon-price-scraper
pip install -e .- Python 3.8+
- Required packages listed in
requirements.txt
# Quick example - see examples/ directory for more
from amazon_price_scraper import Scraper
scraper = Scraper()
results = scraper.scrape("your-query")
print(results)# Run from command line
python -m amazon_price_scraper --query "your-query" --output results.json💡 Tip: Check the
examples/directory for detailed usage examples and thedocs/folder for full documentation.
This tool is designed for scraping publicly available data. Always review and comply with the target website's Terms of Service and robots.txt. Use responsibly and within legal boundaries.
Most public data can be accessed without login. Some features (like private profiles or stories) may require authentication credentials.
The tool includes built-in rate limiting and proxy support to minimize detection. Always use reasonable delays and respect the target platform's rate limits.
Output is available in JSON, CSV, and Excel formats. You can also access raw Python data structures for custom processing.
Yes, this project is licensed under the MIT License. However, you are responsible for ensuring your use of scraped data complies with applicable laws and the target platform's terms.
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Check out all our scrapers:
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Contributions are welcome! Here's how you can help:
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git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Please read CONTRIBUTING.md for details on our code of conduct and development guidelines.