Trustpilot Reviews Scraper — Filters, Replies & Monitoring

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What you get

Extract public Trustpilot reviews for any company as clean, one-review-per-row data. Filter by star rating, language, reviewer country, publication date, verification, or company reply; schedule the same input to receive only newly published reviews.

Use it for reputation monitoring, voice-of-customer research, competitor benchmarking, complaint detection, customer-support audits, and review datasets for analytics or AI workflows.

Why this Actor

• Rich review records: text, title, rating, dates, likes, language, verification metadata, reviewer profile data, and public company replies.
• Company context on every row: TrustScore, star rating, total review count, category, claim status, and rating distribution.
• Useful filters: ratings, languages, reviewer countries, date window, exact start date, verified-only, replies-only, and recency/relevance sorting.
• Incremental monitoring: the first run establishes a baseline; later scheduled runs return only unseen review IDs.
• Flexible inputs: bare domains, company website URLs, Trustpilot /review/ URLs, and Apify Request List sources.
• Efficient pagination: later pages reuse the access already established for a company, keeping larger requests fast.
• Honest failure behavior: persistent upstream blocks and invalid companies fail explicitly instead of returning a misleading successful zero-result run.

Quick start

{
  "companyUrls": ["trustpilot.com", "canva.com"],
  "maxReviewsPerCompany": 100,
  "ratings": [1, 2],
  "sortBy": "recency",
  "dateRange": "last3months"
}

The dataset contains up to 100 recent 1–2 star reviews for each company.

Monitor new negative reviews

{
  "companyUrls": ["yourcompany.com"],
  "maxReviewsPerCompany": 500,
  "ratings": [1, 2],
  "monitoringMode": true,
  "monitoringKey": "yourcompany-negative-reviews"
}

Run this input once to create the baseline, then save it as a Task and schedule it. Review IDs are stored in a named key-value store only after their rows are published successfully. An unchanged rerun returns zero rows and incurs no per-review event charges.

Input

Field	Required	Description
companyUrls	No*	Up to 20 domains, website URLs, or Trustpilot company-review URLs.
startUrls	No*	Request List entries; composable with companyUrls.
maxReviewsPerCompany	No	Matching rows per company, 1–1,000. Default: 50. Broad requests above 200 are split by star-rating stream.
ratings	No	Any combination of 1, 2, 3, 4, and 5.
languages	No	ISO 639-1 codes such as en, de, or fr.
reviewerCountries	No	ISO country codes such as US, GB, or DE.
sortBy	No	recency or relevance. Monitoring always uses recency.
dateRange	No	All time, 30 days, 3 months, 6 months, or 12 months.
startDate	No	Exact inclusive publication cutoff in YYYY-MM-DD form.
verifiedOnly	No	Keep only Trustpilot-verified reviews.
repliesOnly	No	Keep only reviews with a public company reply.
monitoringMode	No	Persist state and emit only unseen review IDs.
monitoringKey	No	Stable state name shared by saved Tasks or schedules.
proxyConfiguration	No	Proxy configuration; a sensible default is already applied, so most users can leave it as is.

* Provide at least one companyUrls or startUrls entry.

Output

Every dataset item represents one review. Core fields include:

Field	Description
review_id, review_url	Stable Trustpilot review identity and public URL.
review_title, review_text, review_rating	Review content and 1–5 rating.
review_date, experience_date, updated_date	Public Trustpilot timestamps when available.
review_language, review_likes, review_source	Language, helpful votes, and collection source.
verified, verification_level, verification_source	Trustpilot verification status and metadata.
reviewer_name, reviewer_country	Public reviewer identity and country.
reviewer_reviews_count, reviewer_is_verified, reviewer_profile_url	Public reviewer-account metadata.
reply_text, reply_date, reply_author, reply_verified	Public business response fields when present.
company_name, company_url, company_website	Company identity and links.
trust_score, star_rating, total_reviews	Company-level rating snapshot.
star_rating_distribution, company_category, is_claimed	Rating mix and profile context.

Example:

{
  "review_id": "6a5cbaa751748e7335938e91",
  "review_url": "https://www.trustpilot.com/reviews/6a5cbaa751748e7335938e91",
  "review_title": "Its a good way to collect feedback",
  "review_text": "Its a good way to collect feedback",
  "review_rating": 4,
  "review_language": "en",
  "review_date": "2026-07-19T13:53:11.000Z",
  "experience_date": "2026-07-19T00:00:00.000Z",
  "reviewer_name": "Raj Gopal Muralidhar",
  "reviewer_country": "IN",
  "reviewer_reviews_count": 2,
  "verified": true,
  "verification_level": "invited",
  "company_name": "Trustpilot",
  "trust_score": 4.4,
  "total_reviews": 519010
}

Limitations

• Only reviews publicly visible on Trustpilot are returned. Removed, private, or moderated-away content is not recoverable.
• Some reviews may be temporarily unavailable; re-running the Actor usually recovers them. A persistent block fails the run explicitly instead of returning a misleading empty success.
• Trustpilot's public web surface exposes ten pages per filter stream. Broad requests are split across all five star-rating streams for up to roughly 1,000 unique reviews per company; a single-star request can expose at most roughly 200.
• Filter combinations with no matching public reviews legitimately produce an empty dataset after the company is resolved.
• Monitoring state is keyed by companies and filters. Changing the monitored scope creates a different derived state unless you set monitoringKey explicitly.
• Reviewer country and verification fields reflect Trustpilot's public metadata and can be absent on older reviews.
• This Actor does not require a Trustpilot login or a short-lived mobile-app JWT.

Integrations

Run from the Apify Console, REST API, Python or JavaScript client, schedules, webhooks, Make, Zapier, Google Sheets, or the Apify MCP server. Export datasets as JSON, CSV, Excel, XML, or RSS.

Pair it with G2 Software Reviews Scraper and Capterra Scraper for broader software-reputation coverage.

More scrapers at thirdwatch.dev.

Last verified: 2026-09