Amazon Scraper API - Multi-Country Product Scraping

A powerful REST API service for scraping product data from 15+ Amazon marketplaces worldwide

Features • Installation • Quick Start • Usage • Contributing

🎯 Overview

REST API service for scraping Amazon product data across 15 countries. Built with Flask, Playwright, and BeautifulSoup for reliable data extraction.

Perfect for:

E-commerce price monitoring
Product research & analytics
Inventory management systems
Market research applications

✨ Features

✅ 15+ Amazon Marketplaces - Support for US, UK, India, Japan, and more
✅ Auto Country Detection - Automatically detects country from URL
✅ 12 Essential Fields - Clean, structured product data
✅ API Authentication - Secure API key-based access
✅ Anti-Detection - Playwright with stealth scripts + device profiles
✅ Rate Limiting - Per API key/IP throttling
✅ Metrics - Prometheus-ready /metrics endpoint
✅ Swagger UI - Interactive API docs at /docs
✅ Caching - Short TTL cache by ASIN + country
✅ Easy Deployment - One-command setup for VPS
✅ CORS Support - Ready for web applications
✅ Production Ready - Systemd service, logging, error handling

📁 Project Structure

AmazonScrapperPython/
├── api_server.py           # Flask API server
├── api_config.py           # Country configurations
├── .env.example            # Example environment file
├── .gitignore              # Git ignore rules
├── requirements.txt        # Python dependencies
├── setup.py                # Package installation
├── LICENSE                 # MIT License
├── INSTALL.txt             # Detailed installation guide
├── CONTRIBUTING.md         # Contribution guidelines
├── README.md               # This file
├── start.bat               # Quick start (Windows)
├── start.sh                # Quick start (Linux/Mac)
└── scrapers/
    ├── __init__.py
    ├── base_scraper.py     # Base scraper class
    ├── india_scraper.py    # Amazon India
    ├── usa_scraper.py      # Amazon USA
    └── uk_scraper.py       # Amazon UK

🚀 Installation

Method 1: Quick Start (Recommended)

Windows:

start.bat

Linux/Mac:

chmod +x start.sh
./start.sh

Script automatically:

✅ Checks Python installation
✅ Installs dependencies
✅ Creates .env file
✅ Starts the server

Method 2: Manual Installation

Prerequisites

Python 3.7 or higher
Internet connection (for Playwright browser downloads)

Quick Setup

1. Clone the repository:

git clone https://github.com/RajpurohitHitesh/AmazonScrapperPython.git
cd AmazonScrapperPython

2. Install dependencies:

pip install -r requirements.txt
python -m playwright install chromium

3. Configure environment:

# Windows
copy .env.example .env

# Linux/Mac
cp .env.example .env

4. Edit .env and set your API key:

API_KEY=your_secure_api_key_here

💡 Tip: Generate a secure API key with:

python -c "import secrets; print(secrets.token_urlsafe(32))"

5. Run the server:

python api_server.py

Server will start at: http://127.0.0.1:5000

✅ Installation complete! You can now use the API.

Method 3: Docker (Recommended for server/deployment)

Build and run:

docker build -t amazon-scraper-api .
docker run -p 5000:5000 --env-file .env amazon-scraper-api

Or with docker-compose:

docker-compose up --build

Configure your domain in .env:

API_DOMAIN=https://api.yourdomain.com
ALLOWED_ORIGINS=https://yourdomain.com,https://app.yourdomain.com

📡 API Usage

Base URL:

Local Development: http://127.0.0.1:5000
Production: https://your-domain.com (configure in .env)

Health Check

Check if API is running:

# Local
curl http://127.0.0.1:5000/api/health

# Production
curl https://your-domain.com/api/health

Readiness (for load balancers/containers)

# Local
curl http://127.0.0.1:5000/api/ready

# Production
curl https://your-domain.com/api/ready

Swagger UI

Open interactive docs at:

Local: http://127.0.0.1:5000/docs
Production: https://your-domain.com/docs

Metrics

Prometheus endpoint:

Local: http://127.0.0.1:5000/metrics
Production: https://your-domain.com/metrics

Response includes queue depth and cache size.

Scrape Product

Endpoint: POST /api/scrape

Headers:

X-API-Key: your_api_key_here
Content-Type: application/json

Request Body:

{
  "url": "https://www.amazon.in/dp/B0FMDNZ61S",
  "headless": true,
  "proxy": "http://user:pass@host:port"
}

Example with cURL:

# Local
curl -X POST http://127.0.0.1:5000/api/scrape \
  -H "X-API-Key: your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://www.amazon.in/dp/B0FMDNZ61S"}'

# Production
curl -X POST https://your-domain.com/api/scrape \
  -H "X-API-Key: your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://www.amazon.in/dp/B0FMDNZ61S"}'

Example with Python:

import requests

# Change base_url based on your setup
base_url = "http://127.0.0.1:5000"  # Local
# base_url = "https://your-domain.com"  # Production

url = f"{base_url}/api/scrape"
headers = {
    "X-API-Key": "your_api_key_here",
    "Content-Type": "application/json"
}
data = {
    "url": "https://www.amazon.in/dp/B0FMDNZ61S"
}

response = requests.post(url, json=data, headers=headers)
print(response.json())

Success Response:

{
  "success": true,
  "cached": false,
  "country": "India",
  "country_code": "IN",
  "detected_country": "IN",
  "data": {
    "asin": "B0FMDNZ61S",
    "merchant": "Amazon India",
    "name": "Product Name",
    "category": "Electronics",
    "subcategory": "Smartphones",
    "brand": "Samsung",
    "current_price": 1299.00,
    "original_price": 1999.00,
    "currency": "₹",
    "currency_code": "INR",
    "stock_status": "in_stock",
    "image_path": "https://m.media-amazon.com/images/I/...",
    "images": ["https://m.media-amazon.com/images/I/..."],
    "rating": 4.2,
    "review_count": 1850,
    "bullet_points": ["..."],
    "variations": ["Color", "Size"],
    "delivery_eta": "Tomorrow",
    "seller": {
      "name": "Amazon",
      "fulfilled_by_amazon": true
    },
    "offers_count": 5,
    "buy_box_winner": "Amazon",
    "seller_type": "amazon",
    "description": "...",
    "specifications": {
      "Brand": "Samsung"
    }
  }
}

Error Response:

{
  "success": false,
  "error": "Invalid URL",
  "message": "Please provide a valid Amazon product URL"
}

📦 Response Fields

API returns these fields (when available):

Field	Type	Description
`asin`	string	Amazon Standard Identification Number
`merchant`	string	Country-specific Amazon (e.g., Amazon India, Amazon USA)
`name`	string	Product title
`category`	string	Main category
`subcategory`	string	Subcategory
`brand`	string	Brand name
`current_price`	float	Current price (numeric)
`original_price`	float	Original/MRP price (numeric)
`currency`	string	Currency symbol
`currency_code`	string	Currency code
`stock_status`	string	`in_stock` or `out_of_stock`
`image_path`	string	Main product image URL
`images`	array	Additional image URLs
`rating`	float	Average rating (0-5)
`review_count`	int	Number of reviews
`bullet_points`	array	Key feature bullets
`variations`	array	Variation labels (e.g., size/color)
`delivery_eta`	string	Delivery estimate (if shown)
`seller`	object	Seller info (name, FBA)
`offers_count`	int	Offers count (if shown)
`buy_box_winner`	string	Buy box seller (if shown)
`seller_type`	string	`amazon` or `marketplace`
`description`	string	Description text
`specifications`	object	Key-value specs

🌍 Supported Countries (15 Amazon Marketplaces)

Country	Domain	Currency
🇺🇸 United States	amazon.com	USD
🇨🇦 Canada	amazon.ca	CAD
🇲🇽 Mexico	amazon.com.mx	MXN
🇧🇷 Brazil	amazon.com.br	BRL
🇬🇧 United Kingdom	amazon.co.uk	GBP
🇩🇪 Germany	amazon.de	EUR
🇫🇷 France	amazon.fr	EUR
🇮🇹 Italy	amazon.it	EUR
🇪🇸 Spain	amazon.es	EUR
🇳🇱 Netherlands	amazon.nl	EUR
🇦🇪 UAE	amazon.ae	AED
🇮🇳 India	amazon.in	INR
🇯🇵 Japan	amazon.co.jp	JPY
🇦🇺 Australia	amazon.com.au	AUD
🇸🇬 Singapore	amazon.sg	SGD

🔧 Configuration

Environment Variables (.env)

# API Server
API_HOST=0.0.0.0          # 0.0.0.0 for public, 127.0.0.1 for local
API_PORT=5000             # Server port
API_KEY=your_key_here     # Authentication key
API_KEYS=key1,key2        # Optional rotated keys
ENABLE_JWT=False          # Optional JWT auth
JWT_SECRET=your_secret

# Application
DEBUG_MODE=True           # Enable debug logging
HEADLESS_MODE=True        # Run browser without GUI
SCRAPE_TIMEOUT_SECONDS=30 # Scrape timeout
SCRAPE_MAX_RETRIES=2      # Retry attempts
MAX_CONCURRENCY=3         # Max concurrent scrapes
PROXY_URLS=               # Optional proxy list (comma-separated)

# CORS
ALLOWED_ORIGINS=http://localhost:8000,https://yourdomain.com

# Rate limiting
RATE_LIMIT_PER_MINUTE_KEY=60
RATE_LIMIT_PER_MINUTE_IP=120

# Cache
CACHE_TTL_SECONDS=300
CACHE_MAX_ITEMS=1000

# Readiness checks
READY_CHECK_ASIN=
READY_CHECK_COUNTRY=US
READY_CHECK_INTERVAL_SECONDS=900

🔐 Authentication

All API requests require authentication via API key:

Method 1: Header (Recommended)

X-API-Key: your_api_key_here

Method 2: Query Parameter

?api_key=your_api_key_here

Optional JWT:

Authorization: Bearer <jwt>

🏗️ Architecture

Base Scraper Class

All country scrapers inherit from BaseAmazonScraper:

Playwright browser contexts with stealth scripts
ASIN extraction from URLs
Common scraping methods
Error handling

Country-Specific Scrapers

Each country has its own scraper module:

india_scraper.py - Amazon India
usa_scraper.py - Amazon USA
uk_scraper.py - Amazon UK
More countries coming soon...

Automatic Country Detection

API automatically detects country from product URL:

amazon.in → India Scraper
amazon.com → USA Scraper
amazon.co.uk → UK Scraper

🔗 Integration Examples

Laravel (PHP)

use App\Services\AmazonScraperService;

$scraper = new AmazonScraperService();
$result = $scraper->scrapeProduct('https://www.amazon.in/dp/B0FMDNZ61S');

if ($result['success']) {
    $data = $result['data'];
    // Use data...
}

Configuration (config/services.php)

'amazon_scraper' => [
    'url' => env('AMAZON_SCRAPER_URL', 'http://127.0.0.1:5000'),  // Local or production URL
    'api_key' => env('AMAZON_SCRAPER_API_KEY'),
    'timeout' => env('AMAZON_SCRAPER_TIMEOUT', 60),
],

Environment (.env)

# Local Development
AMAZON_SCRAPER_URL=http://127.0.0.1:5000

# Production
# AMAZON_SCRAPER_URL=https://your-domain.com

AMAZON_SCRAPER_API_KEY=your_api_key_here
AMAZON_SCRAPER_TIMEOUT=60

🖥️ VPS Deployment (Always Running)

For production deployment on VPS with systemd service (24/7 operation):

See INSTALL.txt for complete guide including:

Ubuntu/Debian setup
Systemd service configuration
Nginx reverse proxy
SSL certificate setup
Firewall configuration
Always-running configuration
Monitoring and logs

Quick command to make it always run:

sudo systemctl enable amazon-scraper-api
sudo systemctl start amazon-scraper-api

🛠️ Development

Adding New Country Scraper

Add country in api_config.py:

AMAZON_COUNTRIES = {
    'DE': {
        'name': 'Germany',
        'domain': 'amazon.de',
        'currency': 'EUR',
    'currency_code': 'EUR'
    }
}

(Optional) Add a custom scraper if needed and register in get_scraper_for_country.

📊 Logging

Development

JSON logs to console with DEBUG_MODE=True
Request IDs in logs

Production

File log: api.log
Systemd journal: sudo journalctl -u amazon-scraper-api

🐛 Troubleshooting

Playwright Browser Issues

# Reinstall browser binaries
python -m playwright install chromium

Port Already in Use

# Change API_PORT in .env
API_PORT=5001

CORS Errors

# Add your domain to ALLOWED_ORIGINS
ALLOWED_ORIGINS=https://yourdomain.com,http://localhost:8000

Service Not Starting (VPS)

# Check status
sudo systemctl status amazon-scraper-api

# View logs
sudo journalctl -u amazon-scraper-api -f

🤝 Contributing

Contributions are welcome! See CONTRIBUTING.md for guidelines.

Ways to contribute:

🐛 Report bugs
💡 Suggest features
🌍 Add new country scrapers
📝 Improve documentation
⚡ Optimize performance

📄 License

This project is licensed under the MIT License - see LICENSE file for details.

Disclaimer: This software is for educational purposes only. Users are responsible for complying with Amazon's Terms of Service.

🙏 Support

If you find this project helpful:

⭐ Star the repository
🐛 Report issues
🔀 Submit pull requests
📢 Share with others

📞 Contact

Issues: GitHub Issues
Discussions: GitHub Discussions
Email: your.email@example.com

Made with ❤️ for the developer community

⬆ Back to Top

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
clients		clients
deploy		deploy
scrapers		scrapers
scripts		scripts
services		services
tests		tests
utils		utils
.env.example		.env.example
.gitattributes		.gitattributes
.gitignore		.gitignore
CONTRIBUTING.md		CONTRIBUTING.md
Dockerfile		Dockerfile
INSTALL.txt		INSTALL.txt
LICENSE		LICENSE
MANIFEST.in		MANIFEST.in
QUICKSTART.md		QUICKSTART.md
README.md		README.md
api_config.py		api_config.py
api_server.py		api_server.py
docker-compose.yml		docker-compose.yml
msedgedriver.exe		msedgedriver.exe
postman_collection.json		postman_collection.json
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
setup.py		setup.py
start.bat		start.bat
start.sh		start.sh
wsgi.py		wsgi.py

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Amazon Scraper API - Multi-Country Product Scraping

🎯 Overview

✨ Features

📁 Project Structure

🚀 Installation

Method 1: Quick Start (Recommended)

Method 2: Manual Installation

Prerequisites

Quick Setup

Method 3: Docker (Recommended for server/deployment)

📡 API Usage

Health Check

Readiness (for load balancers/containers)

Swagger UI

Metrics

Scrape Product

📦 Response Fields

🌍 Supported Countries (15 Amazon Marketplaces)

🔧 Configuration

Environment Variables (.env)

🔐 Authentication

🏗️ Architecture

Base Scraper Class

Country-Specific Scrapers

Automatic Country Detection

🔗 Integration Examples

Laravel (PHP)

Configuration (config/services.php)

Environment (.env)

🖥️ VPS Deployment (Always Running)

🛠️ Development

Adding New Country Scraper

📊 Logging

Development

Production

🐛 Troubleshooting

Playwright Browser Issues

Port Already in Use

CORS Errors

Service Not Starting (VPS)

🤝 Contributing

📄 License

🙏 Support

📞 Contact

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