Trustpilot Reviews Scraper: company reviews with replies, by domain

Get the Trustpilot reviews of any company as clean JSON: rating, title, text, dates, verification, reviewer country and the company reply. Type the company domain or paste its Trustpilot URL, and run. Newest first or most relevant, filtered by star rating and language if you want.

No login, no API key, no proxy setup. Trustpilot checks every visitor's browser, and that check is handled for you.

Run it with the default input to see it work. It returns the latest reviews of apify.com.

What you get

One row per review:

field	meaning
review_id	Trustpilot's id for the review, stable across runs
company_domain	The domain Trustpilot lists the company under
company_name	Display name of the company
company_trust_score	The company's TrustScore, 1 to 5
company_review_count	Total number of reviews the company has
rating	Stars, 1 to 5
title	Review headline
text	Full review text
language	Language code of the review
published_at	When the review was published, ISO 8601
experienced_at	Date of the experience the review is about
updated_at	When the reviewer last edited the review, if ever
is_verified	True when Trustpilot marks the review as verified
review_source	How the review came in, for example Organic or an invitation
likes	Number of people who found the review useful
reviewer_name	Public display name of the reviewer
reviewer_country	Two-letter country code of the reviewer
reviewer_review_count	How many reviews this reviewer has written on Trustpilot
reply_text	The company's public reply, if any
reply_published_at	When the company replied
url	Link to the review on Trustpilot

Example row:

{
  "review_id": "6abee55939f8a3919067e9c8",
  "company_domain": "apify.com",
  "company_name": "Apify",
  "company_trust_score": 4.7,
  "company_review_count": 769,
  "rating": 5,
  "title": "Smooth and simple",
  "text": "Easy to set up and the support answered within a day.",
  "language": "en",
  "published_at": "2026-10-02T00:57:29.000Z",
  "experienced_at": "2026-09-28T00:00:00.000Z",
  "updated_at": null,
  "is_verified": false,
  "review_source": "Organic",
  "likes": 2,
  "reviewer_name": "Jane D.",
  "reviewer_country": "US",
  "reviewer_review_count": 3,
  "reply_text": "Thank you for the feedback.",
  "reply_published_at": "2026-10-03T09:12:00.000Z",
  "url": "https://www.trustpilot.com/reviews/6abee55939f8a3919067e9c8"
}

Input

field	what it does
companies	company domains as Trustpilot lists them, for example apify.com or www.booking.com, or Trustpilot URLs, one per line
maxReviewsPerCompany	cap per company, default 100, max 1,000
sort	recency (default, newest first) or relevance
stars	optional, only these ratings, for example 1 and 2 for complaints
language	language code such as en or de, default all

Minimal input:

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

Only the complaints, newest first:

{ "companies": ["www.booking.com"], "stars": ["1", "2"], "maxReviewsPerCompany": 400 }

Pricing

Pay per review returned: $0.30 per 1,000 reviews, charged only for rows that land in the dataset. No start fee. A company that is not found costs nothing. Apify's free monthly credit covers thousands of reviews, so you can evaluate without paying.

Subscriptions and shared agent access

Scored signals from SEC, FDA, Congress and other official filings. The daily output is hashed and anchored, so past signals cannot be edited. Agents call it over MCP. See the track record

Every score in every report lists the terms it was built from, so you can check the number instead of trusting it.

This Actor is part of DataSignals Lab. It does not feed the signal reports. The plans below cover those and the shared MCP access. All prices are listed on the pricing page:

• Free. Report previews, a weekly signal digest and 50 free MCP calls per month for AI agents.
• Snapshot, $19 one time. The current edition of one report plus 30 days of updates.
• DataSignals Pro, $29 per month or $290 per year. All three reports refreshed monthly, MCP access for AI agents (2000 calls per month fair use), email alerts. Cancel anytime.

Who uses this

• Support and product teams tracking what customers complain about, per week and per country.
• Competitive intelligence: pull the reviews of three competitors side by side.
• Sales teams looking for companies whose customers complain about a problem you solve.
• Researchers and NLP teams who need labelled text (the star rating is the label).
• AI agents that answer "what are customers of this company unhappy about" from live data.

Need app reviews instead? See App Store Reviews Scraper and Google Play Reviews Scraper.

Limits and honesty

• Trustpilot shows 200 reviews per filter without a login. Up to 200 reviews per company you get them in one list. Above 200 the Actor collects per star rating, 200 each, so at most 1,000 per company and fewer if a company has few reviews for some ratings.
• Above 200 the rows come grouped per star rating, not as one list sorted by date.
• For a full history of a large company, run it on a schedule with sort set to recency and de-duplicate on review_id.
• Use the domain exactly as Trustpilot lists it. Some companies are listed with www., others without. When in doubt, paste the Trustpilot URL.

Integrations

Works with the Apify API, scheduled runs, webhooks, and the Apify MCP server, so Claude, ChatGPT and other agents can call it as a tool. Export to JSON, CSV, Excel or push into Google Sheets.

Support

Issues tab on this page, or support@datasignalslab.com. Built and maintained by DataSignals Lab.