Trustpilot Review Scraper
Scrape Trustpilot Reviews and Ratings to a Spreadsheet
Extract reviewer names, countries, star ratings, review titles, full review texts, dates, verified status, and business replies from any Trustpilot business page. Export to CSV or Excel for reputation monitoring and sentiment analysis.
Each example shows how a live website can become a reviewable dataset inside the DataLens AI scraping workbench.
What data gets extracted
DataLens automatically detects and extracts these fields from Trustpilot — no selectors, no code, no maintenance.
Decision-ready dataset
What teams can decide with Trustpilot data
Use Trustpilot as a live source for an AI scraping workbench: collect the fields, clean the noisy rows, and turn the result into market, lead, content, or operations evidence.
Spot patterns
Compare listings, reviews, creators, products, or posts across the fields that matter.
Prioritize action
Move from raw rows to ranked opportunities, risks, accounts, or content ideas.
Share proof
Keep the exported file and source context ready for teammates, clients, or follow-up analysis.
How it works
- 1
Open a Trustpilot business review page in Chrome.
- 2
Launch DataLens and detect the review card structure.
- 3
Navigate through review pages and export the full dataset to CSV.
Frequently asked questions
Use these questions to decide how a live website becomes an AI scraping workflow.
What Trustpilot data can I extract?
DataLens extracts reviewer names, countries, verified status, star ratings, review titles, full review texts, review dates, helpful vote counts, and company reply text.
Can I scrape multiple Trustpilot competitor pages?
Yes. Run the extraction on each competitor's Trustpilot page separately and merge the CSV files for cross-brand comparison.
Does it work across all Trustpilot review pages?
Yes. DataLens works across paginated Trustpilot review pages. Navigate through the pages and DataLens aggregates reviews before you export.
Can I export to Excel?
Yes. Export Trustpilot review data to CSV, Excel (XLSX), or JSON for use in spreadsheets, BI tools, or sentiment analysis pipelines.
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Compare adjacent collection paths by source, export format, and team job.
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