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.
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.
Maintained by Bardeen: this template is actively monitored and updated to reflect G2 layout changes, ensuring reliable, high‑quality data for your workflows.
With Bardeen, you can do much more than just web scraping. After extracting data from any website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.
SOC 2 Type II, GDPR and CASA Tier 2 and 3 certified — so you can automate with confidence at any scale.
