Full review records with metadata
Capture reviewer names, country, star ratings, verified purchase status, review titles, full text, dates, and helpful vote counts.
Trustpilot Scraper
Extract Trustpilot reviews and ratings into structured CSV or Excel files
DataLens makes it easy to collect Trustpilot reviews for any business page. Extract reviewer names, country, star ratings, review titles, full review text, dates, and company reply fields — all page by page, exported to CSV or Excel.
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Company replies included
When a business has replied to a review, DataLens can extract the reply text alongside the original review for complete context.
Compare competitors at scale
Collect reviews from multiple competitor pages and merge them into one dataset for sentiment comparison and benchmarking.
Real-world use cases
A SaaS customer success manager exports all 1-star and 2-star Trustpilot reviews for their product, reads the complaint text, and creates a priority list of the top five recurring support failures to address in the next product sprint.
A competitive analyst collects Trustpilot reviews for three rival services — sorting all reviews by date to build a quarterly timeline that shows when each competitor began receiving complaints about a specific issue and how quickly (or slowly) it was resolved.
A product marketing team extracts 5-star reviews and mines the text for specific phrases customers use to describe the value they received — turning authentic customer language into landing page copy and testimonial material.
How it works
- 1
Navigate to the Trustpilot business page you want to review — either by searching the company name on Trustpilot or going to trustpilot.com/review/[company-domain]. The reviews section loads below the summary header and displays 20 reviews per page.
- 2
Open DataLens from the Chrome toolbar. Click on any review card to trigger field detection. The AI identifies the repeating review structure and maps reviewer name, country, star rating, review title, full review text, review date, and company reply to extraction columns.
- 3
Use the pagination at the bottom of the page to navigate through additional review pages. DataLens accumulates reviews across pages as you navigate. When you have collected the volume you need, click Export and download as CSV, Excel (XLSX), or JSON.
Frequently asked questions
These are the most common questions teams ask before using DataLens for this workflow.
What Trustpilot data can I extract?
You can extract reviewer names, reviewer country, verified review status, star ratings (1–5), review titles, full review text, review dates, helpful vote counts, and company reply text. Trustpilot's business pages are among the most cleanly structured review sites for extraction — most fields are reliably present across all review cards.
Can I scrape reviews from multiple Trustpilot pages?
Yes. DataLens accumulates reviews as you navigate through the page-by-page pagination on Trustpilot. Each page loads 20 reviews; for a business with 300 reviews, navigating through 15 pages takes about 5 minutes. DataLens collects all visible reviews across the session before you export.
Can I compare Trustpilot reviews across brands?
Yes. Run separate extractions for each brand page and export each to a CSV file. Add a Brand column to each file before merging them in Excel or Google Sheets to create a unified dataset for side-by-side sentiment comparison. Sorting by rating, date, or keyword then gives you competitive insight across all brands at once.
Can I export Trustpilot data to Excel?
Yes. Export your Trustpilot reviews as CSV, Excel (XLSX), or JSON for analysis in spreadsheets, BI tools, or sentiment analysis pipelines. The review text field is fully preserved in the export — including paragraph breaks — for downstream analysis.
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Use these pages to compare adjacent search intents and choose the landing page that matches your export format or extraction challenge.
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