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.

Use this page as a starting point for the full workflow: collect the source, clean the table, analyze the patterns, and keep the exportable file together.

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AI scraping workbench

Collect, clean, and deliver without rebuilding the workflow.

DataLens keeps the messy browser step, the structured table, and the exportable files together so analysts, operators, and growth teams can move from live pages to decisions faster.

Collect

Capture live page evidence

Open the source in Chrome and let DataLens detect repeated rows, links, images, comments, or listings on the page you are already viewing.

Clean

Shape messy fields into a table

Use the AI scraping workbench to normalize labels, preserve source context, and keep raw rows beside the cleaned dataset for review.

Deliver

Export files people can use

Send CSV, Excel, JSON, or a research report to the team without stitching together screenshots, scripts, and disconnected spreadsheets.

Full review records with metadata

Capture reviewer names, country, star ratings, verified purchase status, review titles, full text, dates, and helpful vote counts.

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

Use these questions to decide how a live website becomes an AI scraping 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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