Trustpilot Reviews Scraper

Extract customer reviews and full company details from any Trustpilot company profile into clean, structured data — ratings, review text, reviewer info, dates, verification, company replies, TrustScore, and more. Fast, reliable, and pay-per-result.

What it does

Give it one or more companies (a domain like apify.com, or a full Trustpilot review URL) and it returns their reviews plus a company-details record (TrustScore, total reviews, reply metrics, contact info, categories) as structured records you can export to JSON, CSV, or Excel, push to your database, or feed into another Actor.

Features

• 🔎 Multiple companies in a single run
• 🏢 Company details — TrustScore, review counts, reply rate, contact info, categories
• ⭐ Star / language / date / verified filters and free-text search
• ↕️ Sort by most recent or most relevant
• 👤 Rich reviewer data — name, country, review count, profile image, verified
• 💬 Company replies — text and date
• 🧹 Deduplication — no repeated reviews
• ⚡ Fast & low cost — quick runs, low pay-per-result pricing, and no proxy needed by default

Input

Field	Type	Default	Description
companies	array (required)	—	Company domains or Trustpilot review URLs.
maxReviews	integer	100	Maximum total reviews across all companies.
stars	integer 1–5	all	Only reviews with this star rating.
language	string	all	Language code, e.g. en.
sort	string	relevance	recency (newest) or relevance.
verified	boolean	false	Only verified reviews.
datePeriod	string	any	last30days, last3months, or last6months.
search	string	—	Only reviews whose content matches this text.
includeCompanyDetails	boolean	true	Also output a company record per company.
dedupe	boolean	true	Drop duplicate reviews.
proxyConfiguration	object	off	Optional proxy settings (see below).

Example input:

{
  "companies": ["apify.com", "https://www.trustpilot.com/review/github.com"],
  "maxReviews": 200,
  "stars": 5,
  "language": "en"
}

Output

The dataset holds two record types, distinguished by a type field.

Review (type: "review"):

Field	Description
reviewId	Unique review id
company	Company domain
url	Review permalink
rating	1–5
title / text	Review title and body
language	Review language code
author / authorId	Reviewer name and id
authorCountry / authorReviewCount	Reviewer country, total reviews written
authorImageUrl / authorVerified	Reviewer profile image, verification
verified	Whether the review is verified
reply / replyPublishedAt	Company reply text and date
likes	"Useful" votes
reported	Whether it has unhandled reports
publishedAt / experiencedAt / updatedAt	Dates
scrapedAt	When it was scraped

Company (type: "company", one per company when includeCompanyDetails):

Field	Description
name / domain / websiteUrl	Company identity
trustScore / stars	Trustpilot TrustScore and star category
totalReviews / reviewsLast12Months	Review counts
categories	Industry categories
replyPercentage / averageDaysToReply	Reply metrics
isClaimed / isClosed	Business status
logoUrl	Company logo
address / city / country / email / phone	Contact info
verifiedByGoogle / verifiedPaymentMethod / verifiedUserIdentity	Verifications

Example review item:

{
  "type": "review",
  "reviewId": "abc123",
  "company": "apify.com",
  "rating": 5,
  "title": "The tool I was always looking for",
  "text": "Great platform for automation…",
  "language": "en",
  "author": "Jason S.",
  "authorVerified": true,
  "verified": true,
  "publishedAt": "2026-01-14T09:12:00Z",
  "scrapedAt": "2026-07-05T05:32:01Z"
}

How to use

1. Add the companies you want reviews for.
2. Set optional filters (maxReviews, stars, language).
3. Run the Actor, then download the results as JSON / CSV / Excel, or use the dataset API.

A proxy is not required — the Actor works out of the box. You can optionally enable an Apify proxy under Proxy if you want to route traffic through specific regions.

Pricing

Pay-per-event: you're charged per review returned. See the Actor's pricing tab.

Notes & tips

• Provide either a bare domain (apify.com) or a full review URL — both work.
• Higher maxReviews values take longer and cost more; start small to preview.
• If a company has few or no reviews, the run simply returns fewer items.