LAGIC
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All Review Sites Scraper - G2, Capterra, Trustpilot & More — Review Platforms | Lagic

Built For

Aggregate customer reviews for any company from G2, Capterra, Trustpilot, and Reddit.

Curated by Lagic·Verified working

Configure Agent

Company website domain (e.g., postman.com, slack.com, notion.so). We'll find their review pages!

Select which review platforms to scrape. Default: all platforms.

Maximum reviews to scrape from EACH platform (default: 50, max: 200)

Maximum pages to scrape from each platform

Only get reviews from the last N days. Great for monitoring recent feedback!

Also search Reddit for product mentions (uses a single query with the product name).

Fetches actual post body content instead of search snippets. Requires 'Include Reddit' to be enabled.

Include comments that mention the product name. Requires 'Include Reddit' to be enabled.

Results to deliver

600 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

6 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Reviewer's name, company, and job titleProduct name being reviewedStar rating provided by the userThe title of the reviewFull text content of the reviewSeparated "Pros" and "Cons" sections
Sample Text...Sample Text...10094Sample Text...Value...Value...
Sample Text...Sample Text...10096Sample Text...Value...Value...
..................
Exports as:CSVXLSXJSON

Overview

Enter a company's website domain to automatically find and extract customer reviews from major B2B software review sites, plus relevant mentions from Reddit discussions.

Customer feedback is everywhere, scattered across dozens of platforms. This tool consolidates that feedback into a single, structured dataset. By providing just a company's website domain (like `slack.com`), it automatically discovers their official pages on G2, Capterra, and Trustpilot and extracts the reviews. This is designed for product managers tracking feature requests, marketing teams mining for customer language, sales teams looking for testimonials, and agencies conducting competitive analysis for clients. Instead of manually checking each site, you get a unified feed of what real users are saying. ### What You Get The output for each review includes the reviewer's name, their company and job title (when available), the star rating, the full text of the review, and a breakdown of stated "pros" and "cons". ### Beyond Formal Reviews For a more candid view, you can optionally include mentions of the product from Reddit. The tool will search for the product name and can pull back the post content and even the comments where the product is discussed. This adds a layer of unfiltered user conversation to the structured reviews from dedicated platforms, giving you a more complete picture of public perception.

Key Capabilities

  • ✓ Reviewer's name, company, and job title
  • ✓ Product name being reviewed
  • ✓ Star rating provided by the user
  • ✓ The title of the review
  • ✓ Full text content of the review
  • ✓ Separated "Pros" and "Cons" sections
  • ✓ Date the review was posted
  • ✓ Source platform (e.g., G2, Capterra, Reddit)
  • ✓ Direct URL to the original review
  • ✓ For Reddit: subreddit, score, and number of comments
  • ✓ Competitive Intelligence: Scrape all reviews for your top 3 competitors to identify their weaknesses and find opportunities to highlight in your own marketing.
  • ✓ Product Feature Prioritization: Aggregate all recent customer feedback to spot trends in feature requests and common complaints, informing your product roadmap.
  • ✓ Sales Enablement: Filter for 5-star reviews from specific industries or company sizes to find powerful testimonials and case study candidates.
  • ✓ Marketing Campaign Messaging: Analyze the exact words and phrases customers use in the "Pros" section to write more resonant ad copy and landing pages.
  • ✓ Brand Reputation Monitoring: Set up a recurring schedule to monitor new reviews and Reddit mentions, allowing you to respond to negative feedback quickly.
  • ✓ Agency Client Reporting: Provide clients with a consolidated report of their online reputation and benchmark it against their key competitors.
  • ✓ Voice of the Customer Analysis: Combine review data with internal surveys to build a comprehensive Voice of the Customer (VoC) program.

Field Dictionary

How To Run This Extractor

1

Enter the company's website domain, like `miro.com`.

2

Select the platforms you want to scrape, such as G2, Capterra, and Trustpilot.

3

Set the maximum number of reviews or pages to extract from each platform.

4

Optionally, set a lookback period in days to only get recent feedback.

5

Choose whether to include mentions from Reddit.

6

Run the tool and download your aggregated reviews in a single file.

Frequently Asked Questions

Do I need to find the G2 or Capterra URLs myself?
No. You only need to provide the company's main website domain (e.g., notion.so), and the tool automatically finds the corresponding review pages.
What happens if a company isn't on one of the platforms?
How does the Reddit search work?
What data formats can I export?
Is it legal to scrape review websites?
Can I get only the most recent reviews?
How many reviews can I get?
Can I use this for client work?
How is this different from a reputation management platform?
Can I schedule this to run automatically?
How much does it cost?