IGN Game Reviews Scraper

Overview

Scrapes IGN for video game reviews including review scores, titles, platforms, and review summaries. Supports filtering by game category. Supports keyword search, filters (Content Category).

Features

• Search by keywords to find specific results
• Filter results by category or type
• Export data in JSON, CSV, or Excel formats
• Includes ratings and review data
• Control output volume with configurable result limits
• Built-in proxy support for reliable data collection

Use Cases

• Track - Track entertainment listings and reviews
• Build - Build media databases for content analysis
• Monitor - Monitor entertainment industry trends and ratings
• Aggregate - Aggregate entertainment data for recommendation engines

Input Parameters

Parameter	Type	Description	Default
category	string	Type of content to scrape	games
searchQuery	string	Search for specific games or content	``
maxItems	integer	Maximum number of reviews to scrape	50
proxyConfiguration	object	Proxy configuration for bypassing rate limits	{...}

Output Example

Each result contains structured data like this:

{
  "title": "Sample Entertainment Result",
  "score": 85.2,
  "platform": "Sample platform",
  "releaseDate": "2025-01-15",
  "summary": "Detailed description of the item...",
  "url": "https://example.com/item/12345"
}

Pricing

This actor uses pay-per-result pricing:

• $0.001 per result
• $1.00 per 1,000 results

No monthly fees. You only pay for what you scrape. Apify Free plan includes $5/month in platform credits.

How to Run

Apify Console

1. Go to the IGN Game Reviews Scraper actor page
2. Configure your input parameters
3. Click Start and wait for the results
4. Download data in JSON, CSV, or Excel format

API

curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~ign-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 10}'

Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("fortuitous_pirate/ign-scraper").call(
    run_input={"maxItems": 10}
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Integration

Connect IGN Game Reviews Scraper with your existing tools and workflows:

• API access - Programmatic access via Apify API
• Webhooks - Get notified when scraping completes
• Scheduling - Set up recurring runs on any schedule
• Zapier / Make - Connect with 5,000+ apps via Apify integrations
• Python / Node.js SDKs - Native client libraries for easy integration