Scrape G2 Reviews

Pull real user reviews for any software product listed on G2, one row per review.

What it does

Fetches the review corpus for a product so you can read what its users actually complain about, at volume, instead of guessing at your competitive angle.

G2 is a SyncGTM native integration — it runs on SyncGTM credits, so there is no external G2 account or API key to connect.

Reviews carry the reviewer’s role and company size, which is what makes them usable for targeting rather than just for reading.

How to use it

1. Open the table and click Table → Import → Scrape G2 Reviews
2. Enter the competitor’s product name or its G2 URL
3. Run it, map rating / title / body / reviewer fields to columns, and click Create Rows
4. Filter to the low-star reviews and read the ones from your ICP’s segment

Common use cases

• Build displacement messaging from real complaints. The recurring one-star theme is your first line.
• Find the switching trigger. Reviews name what finally made someone leave — pricing change, a missing integration, support.
• Size a competitor’s weak segment. Filter reviews by company size and see where satisfaction drops.
• Feed an AI agent. Point a research agent at the review column and have it summarise objections per segment.

Best practices

• Read low-star reviews from your ICP’s segment, not the overall average
• Scrape two or three competitors, not one — the shared complaint is a category problem, the unique one is your wedge
• Keep the raw review body column; summaries lose the quotable phrasing that makes copy land
• Do not quote a reviewer by name in outreach — use the theme, not the person
• Re-scrape quarterly; complaint themes move after a competitor ships a fix

Where to next

• G2 integration — the same action as an enrichment column
• AI Agents — summarise the review corpus into positioning
• Score Leads — rank reviewers by how well they match your ICP