Extract data from G2 product overview | Bardeen AI
G2 product overview
Scrape structured G2 product reviews from any product’s Reviews page to capture voice-of-customer insights, ratings, pros/cons, and reviewer context—ideal for product marketers, competitive intelligence, and product teams conducting market and sentiment analysis worldwide.
Data to extract
| Premium | ||
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| Yes | No |
More about this Scraper Template
This template is built for B2B software professionals who rely on G2 for unbiased customer feedback—think product marketers, PMs, competitive intelligence, growth, and UX research teams. From any G2 product Reviews page, it structures key information like overall ratings, review text, pros and cons, review dates, and available reviewer context (such as role and company size), giving you a clean dataset for analysis and reporting.
Use it to build a reusable voice-of-customer repository, benchmark competitors, and surface themes that drive roadmap, messaging, and sales enablement. With the Bardeen extension, you can summarize feedback with AI, tag and cluster themes, calculate sentiment or average ratings by segment, and export to Google Sheets, Airtable, or Notion for collaboration—or pipe highlights to docs, dashboards, or Slack for your go-to-market team.
This scraper template is maintained and updated by Bardeen to keep pace with G2’s layout changes, ensuring reliable, high-quality data collection over time.
What to do after you scraped data from a website
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.
Customer Testimonials
"Our Sales and Ops teams can do more in less time to help serve our customers better."
Alex Bouaziz
Co-Founder & CEO at deel.
Chris, CEO: 98% expense reduction
Caroline, Sales: 60h saved on prospecting per week
Alex, Co-Founder & CEO: 75% boosted efficiency on building lead lists
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
Eltjo, Director of Sales: 15h saved per week
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