Trustpilot Reviews Scraper

Extract reviews, ratings, and company data from Trustpilot — no browser, no login, no hassle.

Scrape any company's reviews on Trustpilot by domain name or URL. Get full review text, star ratings, author details, reply data, and company info in seconds. Supports powerful filters: language, date range, star rating, verified-only, and replies-only.

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Quick Navigation

• What This Scraper Does
• Why Choose This Scraper
• Input Parameters
• Example Inputs
• Output Schema
• How the 1000-Review Strategy Works
• Use Cases
• Limitations
• FAQ

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What This Scraper Does

This actor scrapes Trustpilot's public review pages using a pure HTTP approach — no browser automation, no Puppeteer, no Playwright. It reads data directly from the structured JSON embedded in every Trustpilot page (__NEXT_DATA__), making it fast, reliable, and lightweight.

For each company you provide, the scraper collects:

• Company summary — TrustScore, star rating, total review count, star distribution, categories, contact details (email, phone, address), reply behaviour stats
• Individual reviews — full text, title, star rating, dates, author name and country, verification status, company reply

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Why Choose This Scraper

Feature	This Scraper	Most Competitors
Up to 1000 reviews per company	✅	❌ (200 limit)
Language filter	✅	❌ often broken
Date range filter	✅	❌ often missing
Star rating filter	✅	✅
Verified reviews filter	✅	❌
Replies-only filter	✅	❌
Company contact info	✅	❌ often empty
Reply stats (rate, avg days)	✅	❌
No browser required	✅ fast & cheap	❌ slow & expensive
Duplicate review protection	✅	❌

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Input Parameters

Parameter	Type	Default	Description
companies	string[]	—	Company domains to scrape (e.g. booking.com, airbnb.com)
startUrls	object[]	—	Full Trustpilot URLs (alternative to companies)
maxReviewsPerCompany	integer	200	Max reviews per company. Up to 1000 using star-bucket strategy
languages	string	"all"	Language filter: "all" or ISO 639-1 code ("en", "de", "fr", etc.)
filterByStars	integer[]	null	Filter by star rating: e.g. [1, 2] for negative reviews only
filterByDate	string	null	Time range: last30days, last3months, last6months, last12months
sort	string	"recency"	Sort order: "recency" (newest first) or "relevance"
verifiedOnly	boolean	false	Only return verified reviews
withRepliesOnly	boolean	false	Only return reviews that have a company reply
fetchCompanyInfo	boolean	true	Include company summary record in output

Tip: You can use companies and startUrls together — domains are deduplicated automatically.

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Example Inputs

Basic — scrape one company

{
  "companies": ["booking.com"],
  "maxReviewsPerCompany": 200
}

Multiple companies with language filter

{
  "companies": ["airbnb.com", "vrbo.com", "expedia.com"],
  "maxReviewsPerCompany": 100,
  "languages": "en"
}

Negative reviews only — last 3 months

{
  "companies": ["booking.com"],
  "maxReviewsPerCompany": 500,
  "filterByStars": [1, 2],
  "filterByDate": "last3months"
}

Maximum coverage — up to 1000 reviews

{
  "companies": ["booking.com"],
  "maxReviewsPerCompany": 1000,
  "languages": "all"
}

Verified reviews with company replies

{
  "companies": ["amazon.com"],
  "maxReviewsPerCompany": 200,
  "verifiedOnly": true,
  "withRepliesOnly": true
}

From Trustpilot URLs directly

{
  "startUrls": [
    { "url": "https://www.trustpilot.com/review/booking.com" },
    { "url": "https://www.trustpilot.com/review/airbnb.com" }
  ],
  "maxReviewsPerCompany": 200
}

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Output Schema

Each run produces a dataset with two types of records, distinguished by the type field.

Company Record ("type": "company")

Pushed once per company, before its reviews.

{
  "type": "company",
  "companyName": "Booking.com",
  "companyDomain": "booking.com",
  "trustScore": 1.8,
  "stars": 2,
  "totalReviews": 107822,
  "starDistribution": {
    "five": 21631,
    "four": 4715,
    "three": 2401,
    "two": 3724,
    "one": 75351
  },
  "categories": ["Travel Aggregator", "Hotel"],
  "websiteUrl": "https://www.booking.com",
  "email": "customer.service@booking.com",
  "phone": "+31 20 712 5600",
  "address": "Herengracht 597",
  "city": "Amsterdam",
  "zipCode": "1017CE",
  "country": "NL",
  "replyPercentage": 0,
  "avgDaysToReply": 0,
  "isClaimed": true,
  "isCollectingReviews": true,
  "scrapedAt": "2026-04-06T12:00:00.000Z"
}

Review Record ("type": "review")

One record per review.

{
  "type": "review",
  "reviewId": "69d37ce72558148408486e98",
  "companyName": "Booking.com",
  "companyDomain": "booking.com",
  "companyTrustScore": 1.8,
  "companyStars": 2,
  "title": "Paid €215.96 for emergency exit seats and never got them",
  "text": "I booked emergency exit seats for extra legroom on my flight. When I arrived at the airport the seats had been changed without any notification...",
  "rating": 1,
  "language": "en",
  "publishedDate": "2026-04-06T11:29:11.000Z",
  "experiencedDate": "2026-03-21T00:00:00.000Z",
  "updatedDate": null,
  "authorName": "Sarah Mitchell",
  "authorCountry": "GB",
  "authorTotalReviews": 4,
  "authorIsVerified": false,
  "isVerified": false,
  "verificationLevel": "not-verified",
  "hasReply": false,
  "replyText": null,
  "replyDate": null,
  "reviewSource": "organic",
  "likes": 2,
  "scrapedAt": "2026-04-06T12:00:05.000Z"
}

Full Field Reference

Field	Type	Description
type	string	"review" or "company" — use to filter dataset
reviewId	string	Unique Trustpilot review ID
companyName	string	Company display name
companyDomain	string	Domain used to look up the company
companyTrustScore	number	TrustScore (e.g. 4.2)
companyStars	integer	Star rating 1–5
title	string	Review headline
text	string	Full review body
rating	integer	Star rating given by reviewer (1–5)
language	string	Review language (ISO 639-1 code)
publishedDate	string	When the review was posted (ISO 8601)
experiencedDate	string	When the customer had the experience (ISO 8601)
updatedDate	string|null	When the review was last edited
authorName	string	Reviewer display name
authorCountry	string	Reviewer country code (ISO 3166-1 alpha-2)
authorTotalReviews	integer	Total reviews this author has written
authorIsVerified	boolean	Whether the author is a verified Trustpilot user
isVerified	boolean	Whether this review is verified
verificationLevel	string	Verification type: "not-verified", "invited", "redirected", "verified"
hasReply	boolean	Whether the company replied to this review
replyText	string|null	Full company reply text
replyDate	string|null	When the company replied (ISO 8601)
reviewSource	string	How the review was collected (e.g. "organic", "BusinessGeneratedLink")
likes	integer	Number of helpful votes
scrapedAt	string	Timestamp when this record was collected

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How the 1000-Review Strategy Works

Trustpilot limits unauthenticated access to 10 pages × 20 reviews = 200 reviews per filter combination. To go beyond 200, this scraper uses a star-bucket strategy:

When maxReviewsPerCompany is greater than 200, the scraper runs separate passes for each star rating:

stars=1 → up to 200 reviews
stars=2 → up to 200 reviews
stars=3 → up to 200 reviews
stars=4 → up to 200 reviews
stars=5 → up to 200 reviews
─────────────────────────────
Total:  up to 1000 unique reviews

Reviews are deduplicated by ID, so no review appears twice even if it shows up in multiple filter results.

When maxReviewsPerCompany is 200 or less, the scraper uses a single pass with no star filter — faster and more efficient.

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Use Cases

Reputation management agencies Monitor your clients' TrustScores and review sentiment on a weekly or monthly basis. Run multiple domains in a single job and export to Google Sheets or a CRM.

Competitive intelligence Compare your company's reviews with competitors. Identify what customers love or complain about. Benchmark response rates and average reply times.

Negative review analysis Filter for 1–2 star reviews in the last 30 days to get an instant pulse on current customer pain points. Use the filterByStars and filterByDate parameters together.

Sentiment analysis and NLP Collect large volumes of review text with structured metadata for training sentiment models, topic extraction, or LLM fine-tuning.

Investment and due diligence Screen companies by TrustScore and review velocity. Review counts and star distributions reveal product-market fit and customer satisfaction trends.

Lead generation for reputation services Find businesses with low TrustScores and no reply behaviour — prime candidates for reputation management pitches.

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Limitations

200-review cap per star bucket Trustpilot enforces a hard authentication wall after 10 pages. The star-bucket strategy raises the practical limit to 1,000 reviews per company. Companies with 100,000+ reviews (e.g. Booking.com, Amazon) cannot be fully scraped without Trustpilot's paid API access.

Language filter defaults to "all" By default the scraper retrieves reviews in all languages. Set languages: "en" to restrict to English only, which roughly halves the total review count for large international companies.

Single star filter at a time Trustpilot's API only accepts one star value per request. When filterByStars: [1, 2] is set with maxReviewsPerCompany above 200, the scraper runs one pass per requested star rating and combines the results.

Review counts may differ from Trustpilot UI Trustpilot occasionally hides flagged or removed reviews from public pages. The total shown on the website may be slightly higher than what the scraper can access.

Rate limiting On high-volume runs, Trustpilot may temporarily rate-limit requests. The scraper handles this automatically with exponential backoff (10s → 30s → 90s) and random delays between pages.

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FAQ

Do I need a Trustpilot account? No. All data collected by this scraper is publicly accessible on Trustpilot without login.

Can I scrape multiple companies in one run? Yes. Add multiple entries to companies or startUrls. Each company is scraped sequentially with a pause between them to avoid rate limiting.

What format is the output? JSON by default. You can export the dataset as CSV, XLSX, or XML from Apify's dataset view. Use the type field to filter company records vs review records in post-processing.

Why are some fields null? Fields like email, phone, and replyText are null when the company has not filled in their Trustpilot profile or has not replied to the review. This is data from Trustpilot itself — the scraper collects whatever is publicly available.

How fast does it run? A run with 200 reviews for one company typically completes in under 60 seconds. With maxReviewsPerCompany: 1000, expect 3–5 minutes per company depending on Trustpilot's response times.

Is this legal? This scraper only accesses publicly available data on Trustpilot — the same data visible to any visitor without logging in. Always ensure your use case complies with Trustpilot's Terms of Service and applicable data protection laws (GDPR, CCPA).

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Supported Languages (examples)

en English · de German · fr French · es Spanish · it Italian · nl Dutch · pt Portuguese · sv Swedish · da Danish · nb Norwegian · fi Finnish · pl Polish · ru Russian · ja Japanese · zh Chinese · ar Arabic · tr Turkish · or use all for every language.

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