G2 product search

Turn any G2 product search into a clean, structured dataset. This G2 scraper captures product name, rating, product image, and the link to the full review page from any search query—perfect for product marketers, competitive intelligence analysts, growth teams, and procurement pros to build comparison tables, shortlists, and battlecards, then export to Google Sheets, Airtable, Notion, or a CRM.

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G2 product search

Export

• CSV
• Google Sheets
• Airtable
• Notion

Example URL
https://www.g2.com/search?utf8=%E2%9C%93&query=Chrome

Data to extract

• Full Review Page
• Product image
• Product name
• Product rating

More about this Scraper Template

Who it’s for: Global SaaS teams—especially product marketing, competitive intelligence, sales enablement, content marketers, and vendor management—who need fast, reliable access to G2 search results for market scans and competitive research.

What you get and how to use it: Extract product names, ratings, images, and deep links to full G2 review pages from any query (e.g., category, keyword, or use case). Use Bardeen to enrich these records, ask AI to categorize competitors or summarize positioning, compute rankings and filters, and then export to Sheets, Airtable, or Notion. Common workflows include building competitor landscapes, assembling vendor shortlists, generating “best X tools” lists, and creating sales battlecards. You can also chain actions to visit each review page link later and pull additional details.

Maintained by Bardeen: This template is actively maintained and updated by Bardeen to keep pace with G2 changes, ensuring high-quality, reliable data extraction.

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.

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