G2 is the largest B2B software review platform on the internet, with over 5 million verified reviews across thousands of product categories. For sales teams, product managers, and market researchers, G2 data is essential — but extracting it at scale has always been a challenge.
In this article, I'll compare the best approaches to scraping G2 in 2026, including a purpose-built Apify actor that handles the heavy lifting.
Why G2 Data Matters
G2 reviews aren't just opinions — they're structured, verified feedback from real software buyers. Here's what makes this data valuable:
- Sales intelligence — know exactly what prospects think about competitor products before your next call
- Competitive monitoring — track rating changes, new reviews, and feature comparisons over time
- Product research — identify gaps in competitor offerings by analyzing what users complain about
- Market mapping — build category landscapes showing which tools lead in satisfaction, ease of use, or support
G2's own API is limited and expensive. Scraping gives you the full picture.
The Challenge With Scraping G2
G2 isn't the easiest site to scrape. It uses aggressive anti-bot measures including:
- Cloudflare protection on most pages
- Rate limiting that kicks in quickly
- Dynamic JavaScript rendering for review content
- Login walls for certain data points
Any reliable G2 scraper needs to handle all of these. Let's look at the options.
Option 1: DIY With Python
You can build a G2 scraper with Playwright or Selenium, but expect to spend significant time on:
- Browser fingerprint rotation
- CAPTCHA solving integration
- Session management to avoid blocks
- Parsing the semi-structured review HTML
For a one-off research project, this might work. For ongoing monitoring, it's a maintenance nightmare.
Option 2: Generic Web Scrapers
Tools like ScrapingBee or Bright Data's scraping browser can handle Cloudflare, but you still need to write the parsing logic yourself. You're paying for proxy infrastructure and browser rendering, then building the extraction layer on top.
Option 3: G2 Reviews Scraper on Apify (Recommended)
I built G2 Reviews Scraper specifically for this use case. It handles the anti-bot measures, JavaScript rendering, and data parsing in one package.
Here's what it extracts:
Product Listings
{
"productName": "Slack",
"overallRating": 4.5,
"totalReviews": 33521,
"categories": ["Team Collaboration", "Business Instant Messaging"],
"marketPresence": "Leader"
}
Individual Reviews
{
"reviewer": "Marketing Director, Mid-Market",
"rating": 5,
"title": "Essential for remote team communication",
"whatDoYouLikeBest": "The channel organization and integrations...",
"whatDoYouDislike": "Thread notifications can be overwhelming...",
"recommendationRating": 9,
"date": "2026-03-15",
"verified": true
}
Category Comparisons
Scrape entire G2 category pages to see all products ranked by satisfaction score, market presence, and review volume.
How It Compares
| Approach | Setup Time | Anti-Bot Handling | Maintenance | Cost |
|---|---|---|---|---|
| DIY Python | 10+ hours | Manual | High | Proxy costs |
| Generic scraper | 3-5 hours | Partial | Medium | API + proxy |
| G2 Reviews Scraper | 5 minutes | Built-in | None | Pay per run |
The Apify actor runs on Apify's infrastructure with built-in proxy rotation, so you don't need to manage any of that yourself.
Practical Workflows
Sales teams: Schedule weekly scrapes of competitor G2 pages. Feed new negative reviews into Slack so reps can reference them in competitive deals.
Product managers: Track your own G2 rating over time. Set up alerts when new reviews mention specific features or pain points.
Market researchers: Scrape full categories to build comparison matrices. Export to Google Sheets for stakeholder presentations.
Proxy Considerations
G2's Cloudflare protection means you need quality proxies. The Apify actor uses Apify's residential proxy pool by default. If you're building your own scraper, a proxy aggregator like ScrapeOps lets you compare and switch between proxy providers without changing your code.
Scheduling and Export
On Apify, you can schedule the G2 scraper to run daily or weekly. Results export to:
- JSON/CSV for data analysis
- Google Sheets for team visibility
- Webhooks for pipeline integration
- S3/GCS for data warehouse ingestion
Set it once, and your competitive intelligence database stays current without manual effort.
Wrapping Up
G2 data is some of the most actionable competitive intelligence available, but the platform's anti-bot measures make extraction non-trivial. A purpose-built scraper saves you from fighting Cloudflare and lets you focus on what the data actually tells you.
Try the G2 Reviews Scraper on Apify — the free tier gives you enough runs to evaluate whether it fits your workflow.
Part of the Scraping in 2026 series. Follow for more guides on extracting data from popular platforms.
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