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PriceRunner Scraper

A comprehensive web scraper for PriceRunner that extracts product data including details, prices, reviews, price history, and similar products.

Features

• 🔍 Category Discovery - Automatically discovers all product categories
• 📦 Product Listing - Extracts all products from categories with pagination
• 💰 Price Data - Scrapes current prices from all merchants
• 📊 Price History - Tracks price changes over 3, 6, and 12 months
• ⭐ Reviews - Collects user and professional reviews
• 🔗 Similar Products - Finds related product recommendations
• 🌍 Multi-Region - Supports UK, US, SE, DE, DK, FR regions

Input

Output

The scraper outputs product data to the default dataset with the following structure:

{
"product_id":123456,
"category_id":10,
"product_name":"Example Product",
"lowest_price":99.99,
"currency":"GBP",
"total_offers":15,
"average_rating":4.5,
"total_reviews":127,
"price_history":{...},
"offers":[...],
"reviews":[...],
"similar_products":[...]
}

Usage Examples

Scrape All Categories (Full Mode)

{
"mode":"full",
"countryCode":"uk",
"outputFormat":"both"
}

Scrape Specific Categories

{
"mode":"categories",
"categoryIds":[10,94,82],
"countryCode":"uk"
}

Quick Test (Limited Products)

{
"mode":"full",
"categoryIds":[10],
"maxProductsPerCategory":10,
"countryCode":"uk"
}

Rate Limiting

The scraper includes built-in rate limiting to avoid being blocked. Default settings:

• Minimum delay: 2 seconds
• Maximum delay: 5 seconds

Increase these values if you encounter blocking issues.

Where to Find Output

After running the Actor:

1. Product Data: Go to Storage tab → Default dataset

   • Each row = 1 product
   • Can export as JSON, CSV, or Excel

2. Usage Stats (for billing): Go to Storage tab → Key-value store → USAGE_STATS

   • total_products_scraped: Number of products (for billing)
   • total_categories_scraped: Number of categories processed

Pricing Model

This Actor is designed for per-product pricing:

• Example: $1.50 per 1000 products
• The USAGE_STATS key in the Key-value store shows exact product count

Notes

• Running in full mode with all categories can take several hours
• Memory usage scales with the number of products scraped
• Recommended memory: 2GB minimum, 4GB+ for large scrapes