LAGIC
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Trustpilot Reviews Scraper — Trustpilot | Lagic

Built For

Extract customer reviews from any Trustpilot page for sentiment analysis and market research.

Curated by Lagic·Verified working

Configure Agent

One or more URLs of the review pages where the scraper will start.

The maximum number of reviews to scrape.

Results to deliver

100 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

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

Sample Data Preview

Reviewer's avatar URLDate the review was postedReviewer's nameStar rating (e.g., "5 out of 5")Unique ID for the reviewFull text of the review
https://...2026-04-05Sample Text...Value...10095Value...
https://...2026-04-05Sample Text...Value...10091Value...
..................
Exports as:CSVXLSXJSON

Overview

Scrape customer reviews from any Trustpilot business profile, extracting the review text, rating, author name, and date. Use this data to analyze customer sentiment or monitor brand reputation.

Trustpilot is a critical source of customer feedback and social proof. Manually tracking reviews across your brand and competitors is time-consuming and doesn't scale. This tool automates the process, letting you pull raw review data directly from any Trustpilot company page into a structured format. It's designed for marketers, product managers, agencies, and researchers who need to quantify customer sentiment, track brand reputation, or perform deep competitor analysis. By providing a list of Trustpilot company URLs, you can extract thousands of reviews without writing any code. The output is a clean dataset containing the reviewer's name and avatar, the date of the review, the star rating, the review title, the full review text, a unique ID for each review, and a direct link to the original review. This data can be fed into business intelligence tools, used for generating marketing reports, or analyzed to uncover product feedback and customer service trends.

Key Capabilities

  • Reviewer's avatar URL
  • Date the review was posted
  • Reviewer's name
  • Star rating (e.g., "5 out of 5")
  • Unique ID for the review
  • Full text of the review
  • Title of the review
  • Direct URL to the individual review
  • Competitor Weakness Analysis: Scrape all 1- and 2-star reviews from your top three competitors to identify recurring complaints and service gaps.
  • Marketing Testimonial Gathering: Extract all 5-star reviews for your brand to build a repository of positive customer quotes for use in marketing materials.
  • Brand Sentiment Tracking: Schedule daily or weekly runs to monitor new reviews for your company, tracking sentiment shifts over time.
  • Product Development Feedback: Analyze review text to find common feature requests, bug reports, and points of friction for your product team.
  • Reputation Management for Agencies: Provide clients with detailed reports on their Trustpilot reputation, including sentiment trends and response opportunities.
  • Academic or Market Research: Collect large datasets of reviews across an entire industry to study consumer trends and satisfaction benchmarks.

Field Dictionary

How To Run This Extractor

1

Find the Trustpilot company page or pages you want to extract reviews from.

2

Copy and paste one or more of these page URLs into the 'Trustpilot URLs' field.

3

Set the maximum number of reviews you want to get in the 'Results amount' field.

4

Run the tool and wait for the data collection to finish.

5

Download the collected reviews as a CSV, JSON, or Excel file.

Frequently Asked Questions

Do I need to be a developer to use this?
No, this tool is designed for non-technical users. You just need to provide the Trustpilot URLs and specify how many reviews you want.
What formats can I export the data in?
Is it legal to scrape Trustpilot reviews?
How many reviews can I scrape?
Can I scrape reviews for multiple companies at once?
Can I use this for my agency's clients?
How is this different from just reading the reviews on the site?
How up-to-date is the data?
Can I schedule this to run automatically?
What data points are included for each review?