Extract Gartner product reviews into a clean table for product marketers, PMs, and competitive intelligence teams—capturing the review title, rating, date, reviewer job role, company size, industry, full review text, and product URL—so you can analyze voice of customer by segment, track ratings over time, and export to Sheets, Airtable, or Notion.
Ideal for product marketing, product management, customer insights, and competitive intelligence teams at B2B software companies, this Gartner reviews scraper turns enterprise buyer feedback into analysis-ready data. It pulls the review title, rating, date, job role, company size, company industry, full description, and product URL from supported Gartner review pages, making it easy to study sentiment and buying context across global markets.
Use it to build segmented reports by job role, industry, and company size; compute average ratings and trends by date; and create competitive benchmarks across vendors. With Bardeen, you can enrich and analyze at scale—ask AI to summarize pros/cons by segment, cluster themes, highlight actionable insights for roadmap prioritization, and route curated quotes to Google Sheets, Airtable, Notion, or Slack for sales enablement and stakeholder sharing.
Maintained by Bardeen: this template is regularly updated to adapt to website changes, ensuring reliable, high-quality review 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.
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