Extract detailed Trustpilot customer reviews and company insights.
Provide a Trustpilot review URL, Trustpilot user profile URL, or just the company domain. Localized Trustpilot URLs such as fr.trustpilot.com are normalized to the broader www.trustpilot.com review feed by default.
Format should be YYYY-MM-DD, e.g., 2022-02-20
When enabled, fetch all available reviews across languages by appending languages=all. When disabled, the scraper still uses the broader default Trustpilot feed rather than restricting results to the locale in a localized Trustpilot URL.
Set to true if you want to include company details in the output.
Set to true if you want to include statistics in the output.
Maximum number of items to scrape per crawl. If not defined, all items will be scraped.
Maximum number of pages that can be processed at the same time.
Minimum number of pages that will be processed at the same time.
Results to deliver
100 creditsThis agent actively searches live listings โ results may vary. You are only charged for what is delivered, up to this number.
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Pricing
This tool extracts comprehensive customer feedback from Trustpilot, providing data points like review text, star ratings, reviewer profiles, and company replies. Use it to analyze brand perception, track competitor performance, or identify service improvement areas.
This data extraction tool specializes in gathering in-depth customer reviews and associated details from Trustpilot. It's designed to help businesses, marketers, and researchers gain a clear understanding of public sentiment, competitive standing, and areas for operational improvement. ### What Data You Get When you run this tool, you receive structured data for each review. This includes the full review text, the star rating given, and the date the experience occurred or the review was published. You'll also get detailed information about the reviewer, such as their display name, country, whether their profile is verified, and their total number of reviews. For reviews where the company has responded, the tool captures details about that reply. Crucially, it also provides verification details for each review, indicating if and how Trustpilot has verified the feedback, along with the review's unique identifier and language. ### Flexible Input and Filtering You can start an extraction by providing a direct Trustpilot review URL, a specific user profile URL, or simply a company's domain name. The tool automatically normalizes localized Trustpilot URLs (like `fr.trustpilot.com`) to the main `www.trustpilot.com` feed to ensure a broad data capture. You have the option to filter reviews, collecting only those published after a specific date (`YYYY-MM-DD`). By default, it scrapes reviews across all available languages, but you can disable this if you prefer. ### Optional Company-Level Data Beyond individual reviews, you can choose to include overall company details and aggregated statistics in your output. This can provide a valuable snapshot of a company's Trustpilot presence, complementing the granular review data. ### Scalability and Control The tool offers control over the extraction process, allowing you to set maximum item limits, manage concurrency for faster processing, and configure proxy settings for reliable data collection, even at scale.
Provide one or more Trustpilot URLs, which can be for a company's review page, a specific user profile, or just a company's domain name.
Optionally, specify a date (YYYY-MM-DD) if you only want to collect reviews published after that time.
Choose whether to scrape reviews across all available languages or to focus on the primary language of the main Trustpilot feed.
Decide if you want to include overall company details and aggregated statistics in your final output.
Run the tool, which will navigate Trustpilot pages, collect the specified data, and handle any pagination or retries.
Receive a structured dataset containing detailed customer reviews and any requested company-level information.