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Trustpilot Reviews Scraper

Pricing

Pay per usage

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Trustpilot Reviews Scraper

Trustpilot Reviews Scraper

Scrape customer reviews from Trustpilot: reviewer name, star rating, review title, full text, date, and verified status. Ideal for brand reputation monitoring, competitor analysis, and customer sentiment research.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Thomas Gharbi

Thomas Gharbi

Maintained by Community

Actor stats

1

Bookmarked

1

Total users

1

Monthly active users

2 days ago

Last modified

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Scrape customer reviews from Trustpilot for any company. Extract structured review data for reputation monitoring, sentiment analysis, and competitive intelligence.

What it scrapes

FieldDescription
reviewerReviewer's name
ratingStar rating (1-5)
titleReview headline
bodyFull review text
dateReview date
verifiedWhether the reviewer is verified
searchQueryCompany queried
scrapedAtTimestamp (ISO 8601)

Use cases

  • Brand reputation monitoring - track your Trustpilot score and review trends over time
  • Competitor analysis - compare customer satisfaction with competing businesses
  • Sentiment analysis - run NLP on review text to identify recurring issues
  • Customer feedback mining - discover pain points and strengths from real customers
  • Investor due diligence - assess customer satisfaction before a business deal

Input

Enter the company name or Trustpilot domain slug:

{
"searchQueries": ["amazon.com", "booking.com", "netflix.com"],
"maxResultsPerQuery": 50
}
ParameterTypeDefaultDescription
searchQueriesstring[]requiredCompany name or Trustpilot domain slug
maxResultsPerQueryinteger20Max reviews per company

Sample output

{
"reviewer": "Marie D.",
"rating": "5",
"title": "Excellent service, fast delivery",
"body": "I ordered on Monday and received my package on Wednesday. The product was exactly as described.",
"date": "2026-05-15",
"verified": true,
"searchQuery": "amazon.com",
"scrapedAt": "2026-05-20T10:00:00.000Z"
}

Notes

  • Export to JSON, CSV, or Excel from the Apify dashboard
  • Combine with NLP tools for automated sentiment scoring