Trustpilot Reviews API

Scrape Trustpilot reviews for any company: review text, star rating, dates, reviewer name and country, verification status, company replies, and the company's TrustScore and category. Filter by stars, language, date range and keyword, or look a company up by name when you only know what it is called. No login, no API key, no proxy.

What is Trustpilot Reviews API?

Trustpilot Reviews API is a Trustpilot scraper that returns reviews and company profiles as structured rows. Give it domains or Trustpilot URLs, and every review comes back with the fields Trustpilot itself shows — plus the ones it does not show on the page, such as the reviewer's review count and the review's verification level.

What you give it	What you get back
slack.com	Every Slack review, newest first, with the company's TrustScore row
A Trustpilot review URL	The same
A company name	Matching companies, then their reviews if you ask for them
A star, date or keyword filter	Only the reviews you asked for

What data can Trustpilot Reviews API extract?

One row per review:

Field	Type	Example
companyDomain	string	slack.com
companyName	string	Slack
companyTrustScore	number	2.1
reviewId	string	6a9aef96e362f002a33f21c4
reviewUrl	string	https://www.trustpilot.com/reviews/6a9aef96e362f002a33f21c4
title	string	Fiverr Won't Honor Their Buyer Credits
text	string	I had around 10 purchased projects…
rating	integer	1
publishedAt	string	2026-09-04T18:19:34.000Z
experiencedAt	string	2026-09-03T00:00:00.000Z
updatedAt	string	null
language	string	en
likes	integer	0
isVerified	boolean	false
verificationLevel	string	not-verified, invited, …
reviewSource	string	Organic, InvitationLinkApi, …
consumerName	string	Christian Dudnick
consumerCountry	string	US
consumerReviewCount	integer	2
consumerIsVerified	boolean	false
consumerReviewsOfThisCompany	integer	1
replyText	string	Hi Kamal, Miles here! Thank you for letting us know…
replyPublishedAt	string	2026-08-30T10:12:00.000Z
locationName	string	Branch the review is attached to, when there is one
scrapedAt	string	2026-09-05T02:10:11+00:00

One row per company:

Field	Example
trustScore / stars	2.1 / 2
reviewCount / reviewCountLast12Months	365 / 44
reviewCountMatchingFilters	Reviews that match this run's filters
isClaimed, isCollectingReviews, isClosed	Profile status flags
hasCollectedIncentivisedReviews, consumerAlert	Trustpilot's own warnings
primaryCategory, categories	Software Company
websiteUrl, countryCode, businessUnitId	Identity fields

And one row per search result when you search by name: companyDomain, companyName, trustScore, stars, reviewCount, profileUrl, plus the public contactEmail, contactPhone, websiteUrl, countryName and city from the profile.

How much does it cost to scrape Trustpilot reviews?

Event	Price	When it is charged
Review scraped	$0.0015	Per review written to the dataset
Company profile	$0.003	Per company row
Search result	$0.001	Per company found by a name search

Failed companies and searches are never charged. A domain Trustpilot does not know, a closed profile or a page that cannot be read comes back as an error row at no cost.

Job	Cost
1,000 reviews for one company	$1.50
100 competitors, latest 50 reviews each	$7.80
Only complaints (1–2 stars) from the last 3 months, 20 companies × 200	$6.06
TrustScores of 500 companies, no reviews	$1.50

Comparable Trustpilot Actors charge $0.65 to $5 per 1,000 reviews and often add a per-run start fee; this one has no start fee and no proxy surcharge, because it reaches Trustpilot without a proxy. The Apify Free plan includes $5 of usage a month, roughly 3,000 reviews.

How to scrape Trustpilot reviews

1. Click Try for free and sign in to Apify.
2. Paste domains or Trustpilot URLs into Companies — slack.com is enough.
3. Set Max reviews per company. Reviews come newest first.
4. Optionally pick star ratings, a date range, a language or a keyword.
5. Press Start, then open Output or export as JSON, CSV or Excel.

⬇️ Input

{
  "companies": ["slack.com", "https://www.trustpilot.com/review/fiverr.com"],
  "maxReviews": 200,
  "stars": ["1", "2"],
  "dateRange": "last3months",
  "languages": "en",
  "includeCompanyRow": true
}

Filters

• stars — any combination of 1 to 5.
• languages — a two-letter code, or all.
• dateRange — last30days, last3months, last6months, last12months, or empty for all time.
• keyword — only reviews mentioning a word, for example refund.
• verifiedOnly — only reviews Trustpilot verified.
• withRepliesOnly — only reviews the company answered.
• sort — recency (default) or relevance.

All filters are Trustpilot's own, applied on their side, so a run for 200 complaints reads only complaint pages rather than paging through everything.

Searching companies by name

Put names into searchTerms to get search-result rows with the matching domains and TrustScores. Switch on Also scrape reviews of search results to collect reviews for every match in the same run.

Company profiles without reviews

Set maxReviews to 0 and you get only the company rows — a cheap way to pull TrustScores and review counts for a long list of domains.

⬆️ Output

{
  "rowType": "review",
  "companyDomain": "fiverr.com",
  "companyName": "Fiverr",
  "companyTrustScore": 2.3,
  "reviewId": "6a9aef96e362f002a33f21c4",
  "reviewUrl": "https://www.trustpilot.com/reviews/6a9aef96e362f002a33f21c4",
  "title": "Fiverr Won't Honor Their Buyer Credits",
  "text": "Fiverr has been terribly disappointing from a buyer perspective…",
  "rating": 1,
  "publishedAt": "2026-09-04T18:19:34.000Z",
  "experiencedAt": "2026-09-03T00:00:00.000Z",
  "language": "en",
  "isVerified": false,
  "verificationLevel": "not-verified",
  "reviewSource": "Organic",
  "consumerName": "Christian Dudnick",
  "consumerCountry": "US",
  "consumerReviewCount": 2,
  "replyText": null,
  "status": "ok"
}

{
  "rowType": "company",
  "companyDomain": "slack.com",
  "companyName": "Slack",
  "trustScore": 2.1,
  "stars": 2,
  "reviewCount": 365,
  "reviewCountLast12Months": 44,
  "isClaimed": false,
  "primaryCategory": "Software Company",
  "countryCode": "US"
}

Error rows

errorCode	Meaning
invalid-company	The value is not a domain or a Trustpilot URL
not-found	Trustpilot has no page for this company
token-expired / http-error / network-error	Trustpilot could not be read; retry
rate-limited	Trustpilot asked to slow down; lower concurrency

Use cases for Trustpilot data

Competitor monitoring

Schedule a weekly run over your competitors with dateRange: last30days and read what their customers complain about. replyText shows how they answer.

Reputation and support

Pull your own reviews with withRepliesOnly: false and stars: ["1","2"] to find unanswered complaints.

Lead lists and due diligence

maxReviews: 0 turns a list of domains into TrustScores, review counts and claim status — a fast quality signal for prospect lists and vendor checks.

Sentiment and LLM pipelines

Every review is clean text with a rating, a date and a country, ready for a summarisation or sentiment prompt.

Integrations

• API: POST https://api.apify.com/v2/acts/lergassy~trustpilot-reviews-api/runs
• Python: ApifyClient(token).actor('lergassy/trustpilot-reviews-api').call(run_input={'companies': ['slack.com']})
• JavaScript: await client.actor('lergassy/trustpilot-reviews-api').call({ companies: ['slack.com'] })
• n8n, Make, Zapier, Google Sheets, Airtable: run the Actor and map the dataset onward; set a max total charge in n8n for scheduled runs.
• MCP: available through the Apify MCP server as a callable tool.
• Webhooks: fire a webhook when a run finishes.

🤖 For AI agents and LLM apps

{ "companies": ["slack.com"], "maxReviews": 50 }

• rowType separates review, company, search-result and error rows.
• Reviews arrive newest first; publishedAt is ISO 8601.
• companyTrustScore is repeated on every review row, so a single row is self-describing.
• Failed companies are never charged, so retries are cheap.

❓ FAQ

Is it legal to scrape Trustpilot reviews?

The Actor reads public review pages that need no login and collects only what Trustpilot shows to any visitor. How you may store and use that data depends on your jurisdiction and on Trustpilot's terms; check both before running at scale. This is not legal advice.

Do I need a proxy, a login or an API key?

No. Trustpilot's pages are protected by a browser verification step; the Actor passes it once at the start of a run and reads all pages with plain HTTP afterwards. No proxy is needed, and none is charged for.

If Trustpilot refuses the verification from the address your run happens to get — some data-centre ranges are treated more harshly than others — the Actor answers the challenge through an Apify proxy instead and carries on. The token it gets back is not tied to an address, so the pages themselves are still read directly. You will see which route was used in the run log.

How many reviews can I get for one company?

All of them. Trustpilot pages reviews 20 at a time, and the Actor keeps reading until it reaches your limit or the last page.

Can I get only negative reviews?

Yes: set Star ratings to include to 1 and 2. Filtering happens on Trustpilot's side, so the run stays fast.

Can I use it with the Apify API or an MCP server?

Yes to both, like any Apify Actor.

Does it include company replies?

Yes, in replyText and replyPublishedAt, and withRepliesOnly limits a run to answered reviews.

Your feedback

Missing a field or a filter? Open an issue on the Issues tab — issues are answered quickly.

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