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Scrape a brand's Trustpilot reviews, newest first

Scrapes the most recent Trustpilot reviews for one company domain (here `amazon.com`), the first 5 pages (~100 reviews). Each review has the rating, title, text, reviewer name and country, date of experience, verification flag and any company reply. Change `companyWebsite` to any brand's Trustpilot domain and raise `endAtPageNumber`.

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Trustpilot Reviews Scraper
Trustpilot Reviews Scraperparsebird/trustpilot-reviews-scraper
Company
Rating
Title
Review
+9 fields
Text
Number
Boolean
List
Object

Input

Company website:amazon.com
What to extract:reviews
Sort reviews by:recency
End at page number:5

Output fields

Company
Rating
Title
Review
Reviewer
Country
Language
Posted
Experienced
Verified
Company reply
Review URL
Page

How it works

Sign up on Apify or log in

The Trustpilot Reviews Scraper Actor is ready to run with the inputs already set for "Scrape a brand's Trustpilot reviews, newest first". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape a brand's Trustpilot reviews, newest first" task

The Trustpilot Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like company website, what to extract, and more, to match your specific use case.

Receive the "Scrape a brand's Trustpilot reviews, newest first" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as company, rating, title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Scrape a brand's Trustpilot reviews, newest first" task via API.

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