Trustpilot Scraper

Extract structured review data from Trustpilot – the world's most visited review platform with over 260 million reviews. Collect reviews, ratings, and business metadata for any company listed on Trustpilot, with full filtering by stars, language, date range, and sort order.

Fast & stealthy. Uses Chrome TLS fingerprint impersonation (curl_cffi) to bypass bot detection – no Playwright overhead needed. Streams results page by page directly into your Apify dataset.

---

What you get

Per review – up to 22 fields:

Field	Type	Description
source	String	"trustpilot"
business_name	String	Company name
business_url	String	Trustpilot review page URL
business_overall_rating	Number	Overall Trustpilot score (1.0–5.0)
business_total_reviews	Number	Total review count on Trustpilot
review_id	String	Unique review identifier
review_url	String	Direct link to the review
rating	Number	Star rating 1–5
title	String	Review headline
text	String	Full review text
language	String	Review language (ISO code e.g. "de", "en")
date_published	String	ISO 8601 publish date
date_experience	String	Date of the actual experience
reviewer_name	String	Reviewer display name
reviewer_country	String	Reviewer country
reviewer_profile_url	String	Trustpilot reviewer profile URL
reviewer_review_count	Number	Total reviews by this reviewer
helpful_count	Number	"Useful" votes on the review
is_verified	Boolean	Verified review badge
owner_reply	String	Business owner reply text
owner_reply_date	String	ISO 8601 date of owner reply
photos	Array	Review photo URLs

---

Input parameters

Parameter	Type	Default	Description
businessSlugs	Array/String	(required)	Business slug(s) e.g. ["amazon.com", "apple"]. Also accepts full URLs like https://www.trustpilot.com/review/amazon.com
maxReviews	Integer	100	Maximum reviews to collect per business
filterStars	Integer	(all)	Filter by star rating: 1, 2, 3, 4, or 5
language	String	"all"	Filter by language: "de", "en", "fr", "es", "it", etc.
sortBy	String	"recency"	Sort order: "recency" or "relevance"
dateFrom	String	(none)	Start date filter (ISO 8601: "2024-01-01")
dateTo	String	(none)	End date filter (ISO 8601: "2024-12-31")
proxyConfiguration	Object	(none)	Apify proxy configuration

---

Example input

{
  "businessSlugs": ["amazon.de", "zalando.de"],
  "maxReviews": 500,
  "filterStars": 1,
  "language": "de",
  "sortBy": "recency",
  "dateFrom": "2024-01-01"
}

Example output

{
  "source": "trustpilot",
  "business_name": "amazon.de",
  "business_overall_rating": 2.3,
  "business_total_reviews": 87642,
  "review_id": "abc123xyz",
  "review_url": "https://www.trustpilot.com/reviews/abc123xyz",
  "rating": 1,
  "title": "Rücksendung dauert ewig",
  "text": "Ich habe mein Paket vor zwei Wochen zurückgeschickt und warte immer noch auf meine Erstattung.",
  "language": "de",
  "date_published": "2024-11-15T09:32:00Z",
  "date_experience": "2024-11-10",
  "reviewer_name": "Max M.",
  "reviewer_country": "DE",
  "reviewer_review_count": 12,
  "is_verified": true,
  "owner_reply": "Guten Tag, wir entschuldigen uns für die Unannehmlichkeiten...",
  "owner_reply_date": "2024-11-16",
  "photos": []
}

---

Use cases

• Brand monitoring – Track customer sentiment and respond to negative trends early
• Competitor analysis – Compare ratings and review themes across competing businesses
• Market research – Analyze consumer satisfaction by region, language, or product category
• Lead generation – Identify dissatisfied customers of competing businesses
• NLP / AI training – Build sentiment datasets from real-world multilingual reviews

---

Technical notes

• Uses curl_cffi with Chrome TLS fingerprint (rotates across Chrome 110–124) to avoid bot detection
• Extracts data from Trustpilot's embedded __NEXT_DATA__ JSON – same data the website uses, fully structured
• Supports multiple businesses per run – each slug is scraped sequentially
• Auto-retries with alternate Chrome version on 403 / 429 responses
• Respects Trustpilot's pagination – collects up to maxReviews per business

---

Built for reliability. Tested against Trustpilot's anti-bot measures.