Trustpilot Scraper — Reviews, Ratings & Company Profiles

Trustpilot Scraper

Trustpilot Scraper extracts reviews, star ratings, reviewer profiles, company trust scores, and business categories from Trustpilot.com. It accepts company domains, full Trustpilot URLs, or category URLs as input and returns structured JSON with review text, rating, language, verification status, experience date, reviewer name, reviewer country, company reply, and company statistics. Filter results by star rating, language, date range, keyword search, or verification status. Fast and lightweight — scrapes thousands of reviews in seconds, not minutes.

What data can you extract?

Field	Type	Description
reviewId	string	Unique Trustpilot review ID
title	string	Review headline
text	string	Full review text
rating	integer	Star rating (1-5)
language	string	Review language code (en, de, fr, etc.)
createdAt	string	Publication date (ISO 8601)
experienceDate	string	Date of the experience described
updatedAt	string	Last edit date (null if never edited)
isVerified	boolean	Whether Trustpilot verified this review
likes	integer	Number of "useful" votes
url	string	Direct link to the review
reviewer.name	string	Reviewer display name
reviewer.numberOfReviews	integer	Total reviews by this reviewer
reviewer.country	string	Reviewer country code
reviewer.profileUrl	string	Link to reviewer profile
company.name	string	Company display name
company.domain	string	Company domain
company.trustScore	number	Trust Score (0-5)
company.stars	integer	Overall star rating (1-5)
company.totalReviews	integer	Total number of reviews
company.categories	string[]	Business categories
company.profileUrl	string	Link to company profile
companyReply.text	string	Company response text
companyReply.createdAt	string	Response date (ISO 8601)

How to scrape Trustpilot reviews

1. Enter one or more company domains in the Companies field (e.g., apify.com, shopify.com). Full Trustpilot URLs also work.
2. Set Max Reviews Per Company to control how many reviews to collect. Use 0 for all reviews.
3. Optionally apply filters — star rating, language, date range, or verified-only.
4. Click Start and wait for the run to complete.
5. Download results from the Dataset tab in JSON, CSV, or Excel format.

To discover companies in a specific industry, enter a Trustpilot category URL (e.g., https://www.trustpilot.com/categories/electronics) in the Category URL field. The scraper will find companies in that category and collect their reviews.

How much does it cost?

This actor uses pay-per-event pricing. You are charged per review scraped.

Tier	Price per review	Price per 1,000 reviews
FREE	$0.0004	$0.40
BRONZE	$0.00035	$0.35
SILVER	$0.0003	$0.30
GOLD	$0.00025	$0.25

Example: Scraping 5,000 reviews on the FREE tier costs approximately $2.00.

Costs scale linearly with the number of reviews scraped. Company metadata and reviewer info are included at no extra charge.

Use cases

• Monitor customer sentiment for your brand and competitors on Trustpilot.
• Aggregate reviews across an entire product category for market research.
• Feed review text into NLP or sentiment analysis pipelines.
• Track competitor review trends, response rates, and customer complaints.
• Find companies with declining ratings that need reputation management services.
• Collect review datasets for academic research on consumer behavior.
• Build dashboards that combine Trustpilot data with other review sources.
• Identify verified vs unverified review patterns across industries.
• Export review data to spreadsheets for client reporting.

Input

Field	Type	Default	Description
companies	string[]	—	Company domains or Trustpilot URLs (required)
categoryUrl	string	—	Trustpilot category URL to discover companies
maxReviewsPerCompany	integer	100	Max reviews per company (0 = all)
sort	enum	recency	Sort order: recency or relevance
search	string	—	Filter reviews containing this keyword (e.g., "refund")
aspects	string[]	—	Filter reviews by topic aspects
stars	string[]	all	Filter by star rating: 1, 2, 3, 4, 5
languages	string[]	all	Filter by language code (en, fr, de, es, etc.)
dateRange	enum	all time	Last 30 days, 3 months, 6 months, or 12 months
verifiedOnly	boolean	false	Only return verified reviews
withRepliesOnly	boolean	false	Only return reviews with company replies
includeCompanyInfo	boolean	true	Attach company data to each review
includeReviewerInfo	boolean	true	Attach reviewer data to each review
startPage	integer	1	Page to start from (for incremental scraping)
requestDelay	integer	500	Delay between requests in ms
proxy	object	off	Apify proxy configuration

Input examples

Single company:

{
    "companies": ["amazon.com"],
    "maxReviewsPerCompany": 50
}

Multiple companies with filters:

{
    "companies": ["shopify.com", "stripe.com", "apify.com"],
    "maxReviewsPerCompany": 200,
    "sort": "recency",
    "stars": ["1", "2"],
    "languages": ["en"],
    "verifiedOnly": true
}

Search within reviews:

{
    "companies": ["amazon.com"],
    "search": "refund",
    "maxReviewsPerCompany": 100
}

Category discovery:

{
    "categoryUrl": "https://www.trustpilot.com/categories/electronics",
    "maxReviewsPerCompany": 20
}

Output example

{
    "reviewId": "69931ff615dc7667183d6b6f",
    "title": "Reliable automation backbone for n8n workflows",
    "text": "I'm using Apify as part of an automated newsletter pipeline built with n8n, and it's been consistently reliable...",
    "rating": 5,
    "language": "en",
    "createdAt": "2026-02-16T15:47:34.000Z",
    "experienceDate": "2026-01-27T00:00:00.000Z",
    "isVerified": false,
    "likes": 0,
    "url": "https://www.trustpilot.com/reviews/69931ff615dc7667183d6b6f",
    "reviewer": {
        "name": "Ortal Y",
        "numberOfReviews": 1,
        "country": "US",
        "profileUrl": "https://www.trustpilot.com/users/69931feed6c352e02e554935"
    },
    "company": {
        "name": "Apify",
        "domain": "apify.com",
        "trustScore": 4.8,
        "stars": 5,
        "totalReviews": 381,
        "categories": [
            "Online Marketplace",
            "Software Vendor",
            "Software Company"
        ],
        "profileUrl": "https://www.trustpilot.com/review/apify.com"
    }
}

Tips

• Set maxReviewsPerCompany to 0 to scrape all reviews. Companies with 10,000+ reviews are supported — the scraper paginates automatically.
• Use sort: "recency" with dateRange: "last30days" to monitor recent feedback.
• Use stars: ["1", "2"] to focus on negative reviews for reputation tracking.
• Use verifiedOnly: true when you need higher-confidence review data.
• Use search to filter reviews by keyword (e.g., "shipping", "refund", "customer service").
• Use startPage for incremental scraping — skip pages you already have from a previous run.
• Use categoryUrl to discover and scrape all companies in a Trustpilot category without knowing their domains in advance.
• Increase requestDelay to 1000 or higher if you encounter rate limiting on large runs.
• Enable Apify proxy for large runs (10,000+ reviews) if you experience rate limiting.

FAQ

How many reviews can I scrape?

There is no hard limit. Set maxReviewsPerCompany to 0 to collect all reviews. The scraper paginates through all available pages automatically.

How fast is it?

Scraping 100 reviews typically takes under 10 seconds. Larger runs (10,000+ reviews) scale linearly. Concurrent pagination keeps batch runs efficient.

Do I need a proxy?

For most runs, no. If you are scraping tens of thousands of reviews or experience rate limiting, enable Apify proxy in the Advanced settings.

What happens if a company is not on Trustpilot?

The scraper logs a warning and moves to the next company. It does not fail the entire run.

Can I search within reviews?

Yes. Use the search field to filter reviews by keyword (e.g., "refund", "shipping", "customer service"). Only reviews containing the keyword are returned.

Changelog

• v0.1.8 — Search query filter, aspects filter, start page, concurrent pagination, circuit breaker, AIMD rate limiting.
• v0.1.6 — Input validation, per-company timeouts, 403 handling, dedup, inline filter application.
• v0.1 — Initial release. Reviews, company data, reviewer profiles, category browsing, star/language/date filters.