G2 product reviews

Extract structured G2 product reviews—including reviewer name, job role, company size/employee range, date, rating, title, likes, dislikes, and profile links—to fuel product marketing, competitive intelligence, and customer research. Analyze sentiment and themes, segment by persona, and export to Sheets, Airtable, or Notion for global insights.

Data to extract

• User name
• Job Role
• Company Size
• Datetime
• Title
• Like
• Dislike
• User link
• Employees Range
• Rating

Premium

Yes

No

More about this Scraper Template

This template is designed for product marketers, product managers, competitive intelligence teams, founders, and UX researchers who rely on real customer feedback from G2. It captures User name, Job Role, Company Size, Employees Range, Datetime, Title, Like, Dislike, User link, and Rating from G2 product review pages, giving you a clean dataset to analyze voice-of-customer at scale across global markets.

Use it to segment reviews by role and company size, summarize likes and dislikes into actionable themes, and track ratings over time for roadmap and positioning. With the Bardeen extension, you can enrich reviewer profiles, ask AI to cluster feedback and extract quotes, compute trendlines and sentiment, and export to Google Sheets, Airtable, or Notion to build battlecards, testimonials libraries, win/loss insights, or ICP-specific messaging.

Frequently asked questions

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Customer Stories

• Alex Bouaziz
  "Our Sales and Ops teams can do more in less time to help serve our customers better."

• Pat, Talent Research

  15h saved by team per week

• Saad, Senior Research Analyst

  5h saved per webscraping task

• Tufan, Market Development Manager

  Automated data entry

• Alex, Co-Founder & CEO at Deel

  75% boosted efficiency on building lead lists

• Caroline, Sales

  60h saved on prospecting per week

Enterprise-grade security

SOC 2 Type II, GDPR and CASA Tier 2 and 3 certified — so you can automate with confidence at any scale.