Best G2 Review Scraper in 2026: Tool vs DIY vs Official Data
If you need G2 review data, you have four real options. They differ enormously on cost, reliability, and, the part most comparisons miss, whether the output is actually structured enough to analyze. Here's an honest breakdown.
The four ways to get G2 review data
- A maintained G2 scraper (e.g., the FactDen G2 Reviews Scraper on Apify)
- Build your own with Python + a proxy provider
- A generic / low-cost scraper from a marketplace
- G2's own data (G2 has no public reviews API for most users; enterprise data licensing is bespoke and costly)
Side-by-side
| Criteria | FactDen scraper | Build your own | Generic scraper | G2 official |
|---|---|---|---|---|
| Setup time | Minutes | Days-weeks | Minutes | Sales cycle |
| Login / API key needed | None | You manage it | Varies | Contract |
| Structured sub-ratings | 6 sub-ratings | If you build it | Usually no | Yes |
| Switched-from competitor | Yes | Hard to parse | Usually no | Limited |
| Structured pros/cons | Separated | If you build it | Often one blob | Yes |
| LLM-ready markdown | Yes | DIY | No | No |
| Anti-bot handled | Yes | Your problem | Varies | n/a |
| Maintenance burden | None (managed) | Ongoing, on you | Vendor-dependent | None |
| Cost | $4 / 1,000 reviews | Proxy + dev time | Low, quality varies | $$$$ enterprise |
How to actually choose
If you're a competitive-intelligence, PMM, or RevOps team
You care about the switched-from competitor field and structured pros/cons more than anything, that's what turns reviews into a battlecard. A maintained scraper that returns those fields cleanly wins easily; DIY rarely parses them reliably, and most generic scrapers don't expose them at all. The FactDen G2 Reviews Scraper is built specifically for this use case, with a per-product summary that auto-ranks the top 10 competitors.
If you're an engineer who "could just build it"
You can, but price in the real cost: anti-bot evasion, proxy spend, parsing that breaks on every layout change, and the fact that you now own the maintenance forever. At $4 per 1,000 reviews with zero upkeep, the build-vs-buy math almost always favors buy unless scraping is your core product.
If price is the only thing you're optimizing
There are cheaper and free G2 scrapers on the marketplaces. Be careful: a low price often comes with one combined text blob instead of structured fields, missing sub-ratings, no switched-from data, and inconsistent reliability. It's worth checking the rating and recent reviews of any scraper before you depend on it.
If you need a licensed, contractual data feed
For some enterprise use cases you'll want data licensed directly. That's a procurement process with enterprise pricing and lead times. For most competitive-intelligence and research workflows, a pay-per-result scraper gets you the same public review signal far faster and cheaper.
Bottom line: for competitive intelligence, the deciding factor isn't price, it's whether you get the switched-from competitor and structured sub-ratings. That's where a purpose-built scraper separates from a generic one. The FactDen G2 Reviews Scraper returns up to 32 structured fields per review and holds a 5.0 rating on the Apify Store.
Try the FactDen G2 Reviews Scraper
New to this? Start with How to scrape G2 reviews for competitive intelligence →