Trustpilot Reviews Scraper - Full Review Coverage

What does Trustpilot Reviews Scraper do?

Trustpilot Reviews Scraper extracts structured listing data from trustpilot.com — including contact details, company metadata, full descriptions, and ratings and reviews. It supports controllable result limits, so you can run the same query consistently over time.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• ♻️ Incremental mode — recurring runs emit only listings whose ratings, reviews, or metadata changed — track reputation movement over time without re-processing the universe. Saves 80–95% on monitoring runs.
• 🔗 Paste-mode — paste any trustpilot.com URL straight from your browser — single-listing pages, search-results URLs, or category SEO URLs. Mix freely with keyword and IDs in the same run; results dedupe by ID.
• 📦 Compact mode — compact mode — core fields only, ideal when you're feeding an LLM or building a comparison sheet across many companies.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📌 Change classification — each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired. Repost detection flags previously-expired listings that come back.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

What data can you extract from trustpilot.com?

Each result includes Core listing fields (type, reviewId, reviewUrl, rating, title, text, language, and likes, and more), contact information (companyContactEmail and companyContactPhone), and company metadata (companyDomain, companyName, companyTrustScore, and companyStars). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a result limit. Additional filters and options are available in the input schema.

Key parameters:

• mode — What to scrape. reviews = review data (default). searchCompanies = find companies by keyword. categories = browse a Trustpilot category. companyInfo = company profiles only (no reviews). (default: "reviews")
• companyDomain — Company domain as used on Trustpilot, e.g. 'booking.com' or 'www.amazon.com'.
• companyName — Company name to search for. Resolved automatically to the Trustpilot domain slug.
• startUrls — List of Trustpilot review page URLs, e.g. https://www.trustpilot.com/review/booking.com
• searchQuery — Company search keyword (for searchCompanies mode). E.g. 'car insurance', 'web hosting'.
• searchCountry — ISO country code for company search results. Default: US. (default: "US")
• searchMaxPages — Max pages of search/category results to fetch (5 results per page). Default: 5. (default: 5)
• categoryUrl — Trustpilot category URL for categories mode. E.g. 'https://www.trustpilot.com/categories/electronics_technology'.
• maxResults — Maximum reviews to return per company (0 = unlimited). Default: 200. (default: 200)
• stars — Only return reviews with these star ratings. Leave empty for all ratings.
• languages — Filter by review language ISO codes, e.g. ['en', 'de', 'fr']. Leave empty for all languages.
• date — Only return reviews from this time period. (default: "")
• ...and 30 more parameters

Input examples

Basic search — Targeted run scoped to a specific companyDomain.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "mode": "reviews",
  "companyDomain": "booking.com",
  "maxResults": 50
}

Incremental tracking — Only emit reviews that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "companyDomain": "booking.com",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "booking.com-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "companyDomain": "booking.com",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "type": "review",
  "reviewId": "68362b480787ca52990267fc",
  "reviewUrl": "https://www.trustpilot.com/reviews/68362b480787ca52990267fc",
  "companyDomain": "booking.com",
  "companyName": "Booking.com",
  "rating": 1,
  "title": "Opgehangen omdat de geen vervangend…",
  "text": "Opgehangen omdat de geen vervangend hotel wilde zoeken na gecanceld accomodaties. ",
  "language": "af",
  "reviewSource": "Organic",
  "likes": 0,
  "publishedDate": "2025-05-27T23:14:48.000Z",
  "experiencedDate": "2025-05-27T00:00:00.000Z",
  "updatedDate": null,
  "isVerified": false,
  "verificationLevel": "not-verified",
  "authorId": "5f05eec809a036394b2d2f7c",
  "reviewerName": "Ronald",
  "reviewerCountry": "NL",
  "reviewerTotalReviews": 3,
  "reviewerIsVerified": false,
  "reviewerImageUrl": "",
  "reviewsOnSameDomain": 1,
  "replyText": null,
  "replyDate": null,
  "replyUpdatedDate": null,
  "location": null,
  "companyTrustScore": 1.8,
  "companyStars": 2,
  "companyTotalReviews": 107769,
  "companyWebsite": "https://www.booking.com",
  "companyIsClaimed": true,
  "companyCategories": [
    "Travel Aggregator",
    "Hotel"
  ],
  "companyCity": "Amsterdam",
  "companyCountry": "NL",
  "companyContactEmail": "customer.service@booking.com",
  "companyContactPhone": "+31 20 712 5600",
  "companyResponseRate": 0,
  "companyResponseTime": "0 days",
  "companyRating1Star": 75306,
  "companyRating2Star": 3724,
  "companyRating3Star": 2399,
  "companyRating4Star": 4713,
  "companyRating5Star": 21627,
  "languageDistribution": [
    {
      "isoCode": "af",
      "reviewCount": 3,
      "displayName": "Afrikaans"
    },
    {
      "isoCode": "ar",
      "reviewCount": 71,
      "displayName": "العربية"
    },
    {
      "isoCode": "bg",
      "reviewCount": 39,
      "displayName": "български"
    },
    {
      "isoCode": "bs",
      "reviewCount": 4,
      "displayName": "bosanski"
    },
    {
      "isoCode": "ca",
      "reviewCount": 39,
      "displayName": "català"
    },
    {
      "isoCode": "co",
      "reviewCount": 2,
      "displayName": "Corsican"
    },
    {
      "isoCode": "cs",
      "reviewCount": 90,
      "displayName": "čeština"
    },
    {
      "isoCode": "da",
      "reviewCount": 3691,
      "displayName": "dansk"
    },
    {
      "isoCode": "de",
      "reviewCount": 11101,
      "displayName": "Deutsch"
    },
    {
      "isoCode": "el",
      "reviewCount": 84,
      "displayName": "Ελληνικά"
    },
    {
      "isoCode": "en",
      "reviewCount": 51849,
      "displayName": "English"
    },
    {
      "isoCode": "es",
      "reviewCount": 8134,
      "displayName": "español"
    },
    {
      "isoCode": "et",
      "reviewCount": 13,
      "displayName": "eesti"
    },
    {
      "isoCode": "fi",
      "reviewCount": 329,
      "displayName": "suomi"
    },
    {
      "isoCode": "fr",
      "reviewCount": 9754,
      "displayName": "français"
    },
    {
      "isoCode": "fy",
      "reviewCount": 1,
      "displayName": "Frysk"
    },
    {
      "isoCode": "gl",
      "reviewCount": 9,
      "displayName": "galego"
    },
    {
      "isoCode": "ha",
      "reviewCount": 1,
      "displayName": "Hausa"
    },
    {
      "isoCode": "he",
      "reviewCount": 1,
      "displayName": "עברית"
    },
    {
      "isoCode": "hr",
      "reviewCount": 33,
      "displayName": "hrvatski"
    },
    {
      "isoCode": "hu",
      "reviewCount": 64,
      "displayName": "magyar"
    },
    {
      "isoCode": "ia",
      "reviewCount": 1,
      "displayName": "interlingua"
    },
    {
      "isoCode": "id",
      "reviewCount": 6,
      "displayName": "Indonesia"
    },
    {
      "isoCode": "is",
      "reviewCount": 5,
      "displayName": "íslenska"
    },
    {
      "isoCode": "it",
      "reviewCount": 7961,
      "displayName": "italiano"
    },
    {
      "isoCode": "iw",
      "reviewCount": 5,
      "displayName": "עברית"
    },
    {
      "isoCode": "ja",
      "reviewCount": 106,
      "displayName": "日本語"
    },
    {
      "isoCode": "kk",
      "reviewCount": 3,
      "displayName": "қазақ тілі"
    },
    {
      "isoCode": "ko",
      "reviewCount": 16,
      "displayName": "한국어"
    },
    {
      "isoCode": "lb",
      "reviewCount": 1,
      "displayName": "Lëtzebuergesch"
    },
    {
      "isoCode": "ln",
      "reviewCount": 1,
      "displayName": "lingála"
    },
    {
      "isoCode": "lt",
      "reviewCount": 27,
      "displayName": "lietuvių"
    },
    {
      "isoCode": "lv",
      "reviewCount": 17,
      "displayName": "latviešu"
    },
    {
      "isoCode": "ms",
      "reviewCount": 5,
      "displayName": "Melayu"
    },
    {
      "isoCode": "nl",
      "reviewCount": 4861,
      "displayName": "Nederlands"
    },
    {
      "isoCode": "no",
      "reviewCount": 627,
      "displayName": "norsk"
    },
    {
      "isoCode": "pl",
      "reviewCount": 1291,
      "displayName": "polski"
    },
    {
      "isoCode": "pt",
      "reviewCount": 786,
      "displayName": "português"
    },
    {
      "isoCode": "ro",
      "reviewCount": 155,
      "displayName": "română"
    },
    {
      "isoCode": "ru",
      "reviewCount": 1940,
      "displayName": "русский"
    },
    {
      "isoCode": "sk",
      "reviewCount": 31,
      "displayName": "slovenčina"
    },
    {
      "isoCode": "sl",
      "reviewCount": 19,
      "displayName": "slovenščina"
    },
    {
      "isoCode": "sq",
      "reviewCount": 3,
      "displayName": "shqip"
    },
    {
      "isoCode": "sr",
      "reviewCount": 24,
      "displayName": "српски"
    },
    {
      "isoCode": "sv",
      "reviewCount": 1159,
      "displayName": "svenska"
    },
    {
      "isoCode": "th",
      "reviewCount": 8,
      "displayName": "ไทย"
    },
    {
      "isoCode": "tl",
      "reviewCount": 1,
      "displayName": "Filipino"
    },
    {
      "isoCode": "tr",
      "reviewCount": 47,
      "displayName": "Türkçe"
    },
    {
      "isoCode": "uk",
      "reviewCount": 20,
      "displayName": "українська"
    },
    {
      "isoCode": "vi",
      "reviewCount": 1,
      "displayName": "Tiếng Việt"
    },
    {
      "isoCode": "war",
      "reviewCount": 1,
      "displayName": "Waray"
    },
    {
      "isoCode": "zh",
      "reviewCount": 57,
      "displayName": "中文"
    },
    {
      "isoCode": "zh-hant",
      "reviewCount": 1,
      "displayName": "繁體中文"
    },
    {
      "isoCode": "zh-tw",
      "reviewCount": 2,
      "displayName": "中文（台灣）"
    }
  ],
  "similarCompanies": [
    {
      "displayName": "",
      "identifyingName": "",
      "numberOfReviews": 175914,
      "trustScore": 4.4,
      "stars": 4.5
    },
    {
      "displayName": "",
      "identifyingName": "",
      "numberOfReviews": 46918,
      "trustScore": 2,
      "stars": 2
    },
    {
      "displayName": "",
      "identifyingName": "",
      "numberOfReviews": 148854,
      "trustScore": 2.9,
      "stars": 3
    },
    {
      "displayName": "",
      "identifyingName": "",
      "numberOfReviews": 11493,
      "trustScore": 1.2,
      "stars": 1
    },
    {
      "displayName": "",
      "identifyingName": "",
      "numberOfReviews": 76086,
      "trustScore": 3,
      "stars": 3
    },
    {
      "displayName": "",
      "identifyingName": "",
      "numberOfReviews": 196129,
      "trustScore": 4,
      "stars": 4
    },
    {
      "displayName": "",
      "identifyingName": "",
      "numberOfReviews": 11495,
      "trustScore": 1.2,
      "stars": 1
    },
    {
      "displayName": "",
      "identifyingName": "",
      "numberOfReviews": 26456,
      "trustScore": 3.1,
      "stars": 3
    }
  ],
  "productReviews": null,
  "aiSummary": "Most reviewers were unhappy with their experience overall. Many people were dissatisfied with the booking process, encountering issues such as unconfirmed reservations, issues with listing accuracy, a...",
  "portalUrl": "https://www.trustpilot.com/review/booking.com",
  "scrapedAt": "2026-04-05T13:44:58.386Z",
  "source": "trustpilot.com",
  "changeType": null
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape trustpilot.com

1. Go to Trustpilot Reviews Scraper in Apify Console.
2. Configure the input.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from trustpilot.com for market research and competitive analysis.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Collect ratings and reviews for reputation monitoring and benchmarking.

How much does it cost to scrape trustpilot.com?

Trustpilot Reviews Scraper is currently free to use on Apify. There is no start fee and no per-result charge during the free launch period.

• Run start: Free
• Per result: Free

You only use your normal Apify platform resources when you run the actor from your own account.

FAQ

How many results can I get from trustpilot.com?

The number of results depends on the search query and available listings on trustpilot.com. Use the maxResults parameter to control how many results are returned per run.

Does Trustpilot Reviews Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Trustpilot Reviews Scraper with other apps?

Yes. Trustpilot Reviews Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Trustpilot Reviews Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Trustpilot Reviews Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape trustpilot.com?

This actor extracts publicly available data from trustpilot.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.