Trustpilot Review Scraper — Reputation Intelligence Engine

One-click Trustpilot review extraction: full review content, reviewer metadata, company replies, and sentiment signals — structured data for any business domain.

Why This Actor?

Most Trustpilot scrapers grab stars and text. This actor captures the full review context — the signals you actually need for reputation analysis, lead scoring, and competitor benchmarking:

• ⭐ Complete Review Data — Star rating, title, full text, date, language, and direct review URL
• 👤 Reviewer Intelligence — Name, location, review history count, follower count, and verification status
• 🏢 Company Replies — Full reply text + reply date, when available
• 🔍 Smart Filtering — Filter by star rating, date range, language, and verified-only reviews
• 🛡️ Anti-Detection — Proxy-aware crawling with residential proxy support for reliable access
• 📤 Multiple Exports — JSON, CSV, or Excel-ready output; one record per review with full nesting
• 📊 Batch Queries — Scrape multiple businesses or domains in a single run

Input

Parameter	Type	Required	Default	Description
businessUrls	string[]	One of two	[]	Direct Trustpilot business URLs (e.g., https://www.trustpilot.com/review/example.com)
domains	string[]	One of two	[]	Domain names to resolve to Trustpilot review pages automatically
maxReviews	integer	No	100	Maximum reviews to return per business (1–10000)
starFilter	select	No	all	Filter by star rating: all, 5, 4, 3, 2, 1
dateRange	select	No	all	Date range: all, last7days, last30days, last90days, lastYear
language	string	No	all	Review language filter (e.g., en, zh, ja, de)
verifiedOnly	boolean	No	false	Only return reviews from verified reviewers
includeReplies	boolean	No	true	Include company reply text and date
includeReviewerDetails	boolean	No	true	Include reviewer name, location, review count, followers
proxyConfig	object	No	—	Proxy configuration for anti-detection

Note: businessUrls and domains — provide at least one. domains is useful when you know the brand but not the exact Trustpilot URL.

Output Example

{
  "reviewId": "abc123def456",
  "businessUrl": "https://www.trustpilot.com/review/example.com",
  "businessName": "Example Corp",
  "businessDomain": "example.com",
  "starRating": 5,
  "reviewTitle": "Excellent service and fast delivery",
  "reviewText": "I ordered on Monday and received it on Wednesday. Packaging was great and the product matched the description perfectly...",
  "reviewDate": "2025-03-15",
  "verified": true,
  "reviewerName": "Jane Smith",
  "reviewerLocation": "London, United Kingdom",
  "reviewerReviewCount": 23,
  "reviewerFollowersCount": 5,
  "companyReply": "Thank you for your kind words, Jane! We're thrilled you had a great experience.",
  "replyDate": "2025-03-16",
  "language": "en",
  "reviewUrl": "https://www.trustpilot.com/reviews/abc123def456",
  "helpfulVotes": 12
}

Output Fields

Field	Type	Description
reviewId	string	Unique Trustpilot review identifier
businessUrl	string	Canonical Trustpilot URL for the reviewed business
businessName	string	Business display name on Trustpilot
businessDomain	string	Extracted domain (e.g., example.com)
starRating	number	Star rating (1–5)
reviewTitle	string	Review headline
reviewText	string	Full review body text
reviewDate	string	Review date (YYYY-MM-DD)
verified	boolean	Whether the reviewer is verified by Trustpilot
reviewerName	string	Reviewer display name
reviewerLocation	string	Reviewer location (city, country)
reviewerReviewCount	number	Total reviews written by this user
reviewerFollowersCount	number	Followers of this reviewer on Trustpilot
companyReply	string	Company’s public reply, if any
replyDate	string	Date of company reply (YYYY-MM-DD)
language	string	Detected review language (ISO 639-1)
reviewUrl	string	Direct link to the review page
helpfulVotes	number	Number of “helpful” votes from other users

Use Cases

• Reputation Monitoring — Track review volume, sentiment, and response rates over time
• Competitor Benchmarking — Scrape rival businesses side-by-side for rating, review themes, and response quality
• Lead Scoring — Weight prospects by their Trustpilot rating and review recency
• Customer Insights — Mine review text for feature requests, complaints, and praise patterns
• Local Business Research — Build datasets of highly-rated (or poorly-rated) businesses by category and location

Filtering Strategies

• Verified only — Use verifiedOnly: true to filter out potentially fake or low-trust reviews
• Date range — Combine dateRange: "last30days" with starFilter: "1" to surface recent complaints
• Language — Set language: "en" for English-only analysis; omit for multilingual datasets
• High-volume businesses — Set maxReviews to 1000+ for brands with thousands of reviews; the actor paginates automatically

Tips

• Use domains when you have a list of brands but not their Trustpilot URLs — the actor resolves them automatically
• Use businessUrls for precise, fastest lookups when you already have the Trustpilot page
• Combine with elsa-data-analysis to aggregate review scores, compute average ratings by region, or detect review velocity spikes
• For sentiment analysis at scale, pair with an NLP pipeline — the output schema is designed for easy ingestion

Pricing

This actor runs on the Apify platform. Usage is billed per compute unit based on your Apify plan. No third-party API keys required.

Support

Found a bug or need a feature? Open an issue on the Actor page or contact the developer.