G2 Reviews Scraper

Extract software reviews, product data, category listings, comparisons, and search results from G2.com.

What does G2 Reviews Scraper do?

This Actor scrapes G2.com to extract structured data including:

• Product Reviews — reviewer name, job title, company size, industry, overall rating, sub-ratings, review text (likes/dislikes/recommendations), date, verified status, helpful votes
• Product Information — product name, description, overall rating, total reviews, category, pricing plans, features list, pros/cons summary
• Category Listings — all products in a G2 category (e.g., "Best CRM Software") with rankings, ratings, and review counts
• Product Comparisons — competitor/alternative products with ratings and descriptions
• Search Results — find products by name with full metadata

Why use this scraper?

• Resilient selectors — uses multiple fallback CSS selectors per data point, so it keeps working when G2 updates their layout
• Anti-bot handling — user-agent rotation, session management, request delays, and proxy support built in
• Browser fallback — CheerioCrawler for speed, with optional PlaywrightCrawler for sites that block HTTP requests
• Smart pagination — automatically follows pagination up to your configured limits
• Review filtering — filter by star rating, company size, and date range
• Clean JSON output — every record is typed and normalized with consistent field names

Input Configuration

Field	Type	Default	Description
mode	string	reviews	What to scrape: reviews, product, category, comparison, or search
startUrls	array	—	G2 URLs to scrape
searchQuery	string	—	Product name to search (only for search mode)
maxReviews	integer	100	Max reviews per product (0 = unlimited)
maxProducts	integer	50	Max products from category/search results
filterStarRating	array	[]	Filter reviews by star rating (e.g., [4, 5])
filterCompanySize	string	—	Filter by company size: small-business, mid-market, enterprise
filterDateFrom	string	—	Only reviews from this date (YYYY-MM-DD)
filterDateTo	string	—	Only reviews up to this date (YYYY-MM-DD)
includeProductInfo	boolean	true	Attach product info to each review record
scrapeComparisons	boolean	false	Also scrape competitor/alternatives page
useBrowser	boolean	false	Use Playwright browser instead of HTTP requests
maxConcurrency	integer	3	Concurrent requests (keep low for G2)
maxRequestRetries	integer	5	Retries per failed request
minDelayBetweenRequests	integer	2000	Min delay between requests (ms)
maxDelayBetweenRequests	integer	5000	Max delay between requests (ms)
proxyConfiguration	object	Apify Residential	Proxy settings (residential recommended)

Usage Examples

Scrape reviews for a product

{
    "mode": "reviews",
    "startUrls": [
        { "url": "https://www.g2.com/products/slack/reviews" }
    ],
    "maxReviews": 500,
    "filterStarRating": [4, 5],
    "includeProductInfo": true
}

Get product information only

{
    "mode": "product",
    "startUrls": [
        { "url": "https://www.g2.com/products/slack" },
        { "url": "https://www.g2.com/products/microsoft-teams" }
    ]
}

Scrape a full category listing

{
    "mode": "category",
    "startUrls": [
        { "url": "https://www.g2.com/categories/crm" }
    ],
    "maxProducts": 200
}

Search for products

{
    "mode": "search",
    "searchQuery": "project management",
    "maxProducts": 25
}

Scrape reviews + comparisons

{
    "mode": "reviews",
    "startUrls": [
        { "url": "https://www.g2.com/products/hubspot-crm/reviews" }
    ],
    "maxReviews": 200,
    "scrapeComparisons": true,
    "filterCompanySize": "mid-market"
}

Output Examples

Review Record

{
    "type": "review",
    "reviewerName": "John D.",
    "reviewerJobTitle": "Software Engineer",
    "reviewerCompanySize": "Mid-Market (51-1000 emp.)",
    "reviewerIndustry": "Information Technology",
    "overallRating": 4.5,
    "subRatings": {
        "Ease of Use": 5,
        "Quality of Support": 4,
        "Ease of Setup": 4.5
    },
    "reviewTitle": "Great team communication tool",
    "likes": "The integration ecosystem is fantastic. Slack connects with virtually every tool we use.",
    "dislikes": "Search could be better for finding old messages in large workspaces.",
    "recommendations": "Start with the free plan and upgrade when you need advanced features.",
    "fullReviewText": "...",
    "date": "2024-11-15",
    "isVerified": true,
    "helpfulVotes": 12,
    "reviewUrl": "https://www.g2.com/products/slack/reviews/abc123",
    "productName": "Slack",
    "productUrl": "https://www.g2.com/products/slack",
    "productOverallRating": 4.5,
    "productCategory": "Team Collaboration Software"
}

Product Record

{
    "type": "product",
    "productName": "Slack",
    "productUrl": "https://www.g2.com/products/slack",
    "description": "Slack is the AI-powered platform for work...",
    "overallRating": 4.5,
    "totalReviews": 33241,
    "category": "Team Collaboration Software",
    "pricing": [
        { "planName": "Free", "price": "$0" },
        { "planName": "Pro", "price": "$7.25" }
    ],
    "features": ["Channels", "Direct Messages", "File Sharing"],
    "prosSummary": ["Easy to use", "Great integrations"],
    "consSummary": ["Can be distracting", "Search limitations"]
}

Category Product Record

{
    "type": "categoryProduct",
    "categoryName": "Best CRM Software",
    "rank": 1,
    "productName": "Salesforce Sales Cloud",
    "productUrl": "https://www.g2.com/products/salesforce-sales-cloud",
    "overallRating": 4.4,
    "totalReviews": 20145,
    "description": "Build more pipeline, close more deals..."
}

Tips for Best Results

1. Use residential proxies — G2 uses DataDome anti-bot protection. Residential proxies from Apify work best.
2. Keep concurrency low — 2-3 concurrent requests is recommended to avoid rate limiting.
3. Enable browser mode if blocked — Set useBrowser: true if HTTP requests keep failing.
4. Start with small batches — Test with maxReviews: 10 first to verify selectors work.
5. Check date filters — Use filterDateFrom and filterDateTo to scrape only recent reviews.

Pricing

This Actor uses Pay-Per-Event pricing at $0.40 per 1,000 results ($0.0004 per result). You only pay for the data you get. Platform compute costs apply separately.

Limitations

• G2 employs DataDome anti-bot protection that may occasionally block requests despite proxy rotation
• Review sub-ratings availability depends on whether reviewers filled them in
• Some product pages may have different layouts that affect data extraction
• Very old reviews might have different HTML structures

Support

If you encounter issues or have questions, please open an issue on the Actor's GitHub page or reach out via Apify support.