Trustpilot reviews scraper

Trustpilot Reviews Scraper: bypass the 200-review limit

The most reliable and actively maintained Trustpilot scraper on Apify. While other scrapers often fail after 200 reviews (page 10), this actor is engineered to bypass those limits and scale with your needs.

37 million reviews extracted · 650,000+ runs · 98%+ success rate · 3,000 users Not a new listing. This Actor has been maintained continuously for four years, and two thirds of everything it has ever scraped was collected in the last twelve months.

⚡ Why choose this Trustpilot scraper?

⭐ Proven at scale: Collected 37 million reviews extracted across 650,000+ runs, at a 98%+ success rate. Used by 3,000 people and bookmarked by 88.

✅ 200+ Review Bypass: Specifically optimized to handle large-scale data extraction beyond the standard Trustpilot limitations.

🛡️ Active Maintenance: Monitored for real-time error tracking. When Trustpilot changes, I update the scraper accordingly.

⚡ Smart Proxy Management: Supports both Datacenter and Residential proxies.

📊 Comprehensive Data: Extracts 20+ data points, including verified status and full company responses - Including features not supported by the official Trustpilot API.

💰 Cost-Effective: A fraction of the cost of Trustpilot's Enterprise API.

🤖 AI-Ready: Structured JSON output perfect for sentiment analysis and LLM training.

🔍 Comparison: This Actor vs. Others

Feature	This Scraper	Standard Scrapers
Review Limit	Unlimited Extraction	Hard limit at 200 reviews
Maintenance	Active (I update as soon as possible)	Often broken/unmaintained
Official API	$20/mo (98% lower cost)	1000$+ Enterprise Cost
Data Depth	20+ Data Points	Basic fields only
Track Record	Since 2022 · 37M+ reviews scraped	Often launched this year

🚀 What you can do with Trustpilot review data

💬 Display reviews: Show Trustpilot reviews directly on your own website. Run it on a schedule and serve from your own database — see the FAQ on live display.

😁 Competitor Analysis: Analyze competitor reviews to determine why customers are happy or unhappy.

🧑‍💻 Response Tracking: Analyze how your competitors respond to their customers.

📊 Persona Research: Determine your target audience and analyze your customers' persona.

🗣️ Brand Monitoring: Monitor mentions and sentiment of your brand.

🪙 Lead Generation: Find new leads by identifying active reviewers in your niche.

📈 Market Research: Conduct deep-dive market research across entire industries.

🤖 Machine Learning: Research reviewer behavior or detect fake reviews using AI analysis.

📂 Aggregator Sites: Collect company information and trust scores for multiple companies at once.

📊 Trustpilot review data fields you get

This actor provides clean, structured data across two main datasets.

Reviews Dataset (Full Field List)

Field	Description	Type
companyName	The name of the company being scraped	String
companyPageUrl	The specific Trustpilot URL for the filtered results	String
businessUnitId	The unique ID identifying the company on Trustpilot	String
reviewId	The unique ID of the specific review	String
reviewUrl	Direct link to the individual review	String
reviewTitle	The headline/title of the review	String
reviewDescription	The actual text content of the review	String
reviewRatingScore	Star rating (1-5)	Integer
reviewDate	Date and time the review was posted	ISO Date
reviewDateOfExperience	The actual date the customer had their experience	ISO Date
reviewLabel	Trustpilot's label (e.g., "verified")	String
isReviewVerified	Whether the review is officially verified	Boolean
reviewer	The name of the reviewer	String
reviewerId	Unique ID of the reviewer profile	String
reviewersCountry	The reviewer's country (ISO code)	String
reviewLanguage	The detected language of the review (e.g., "en")	String
reviewCompanyResponse	The official response from the company	String
scrapedDateTime	Timestamp of when the data was extracted	ISO Date
scrapedAtReviewPageNumber	The page number where this review was found	Integer
reviewerNumberOfReviews	(optional) Total reviews posted by this reviewer — requires includeReviewerMetadata: true	Integer
reviewerProfileIsVerified	(optional) Whether the reviewer's profile is verified — requires includeReviewerMetadata: true	Boolean
companyReplyPublishedDate	(optional) When the company first published its reply — requires includeReplyAnalysis: true	ISO Date
companyReplyUpdatedDate	(optional) When the company reply was last updated — requires includeReplyAnalysis: true	ISO Date
reviewSource	(optional) Platform that collected the review (e.g. "InvitationApi") — requires includeExtendedMetadata: true	String
reviewVerificationSource	(optional) How the review was verified (e.g. "invitation") — requires includeExtendedMetadata: true	String
reviewLikes	(optional) Number of likes the review received — requires includeExtendedMetadata: true	Integer
reviewPhotoUrls	(optional) URLs of photos attached to the review — requires includeReviewPhotos: true	String[]

Company Information Dataset

Field	Description
company	Official company name
rating	Average TrustScore (1-5)
isCompanyVerified	Whether the company is verified by Trustpilot
category	Primary business category
OfficialTotalReviewCount	Total reviews (Note: Trustpilot's count may include hidden reviews)
replyAverageDaysToReply	(optional) Avg. days to reply to negative reviews — requires includeCompanyResponseMetrics: true
replyPercentage	(optional) % of negative reviews that received a reply — requires includeCompanyResponseMetrics: true
companyUsesAIResponses	(optional) Whether the company uses AI-generated responses — requires includeCompanyResponseMetrics: true

ℹ️ Company Not Found: If the searched company domain does not exist on Trustpilot, a minimal record is still saved to the companyInformation dataset with isCompanyFound: false (see output example below). No review data will be collected.

📄 Output Examples

Sample company information data:

{
    "company": "Wag + Tail ",
    "rating": "4.8",
    "OfficialTotalReviewCount": 194,
    "isCompanyVerified": "yes",
    "category": "Pet Store"
}

Company not found on Trustpilot:

If the domain does not exist on Trustpilot, the actor saves the following record to the companyInformation dataset and stops gracefully — no error is thrown and no review data is collected.

{
    "isCompanyFound": false,
    "companyPageUrl": "https://www.trustpilot.com/review/unknowndomain.com",
    "searchedDomain": "unknowndomain.com",
    "scrapedDateTime": "2026-04-24T10:00:00.000Z"
}

Sample Trustpilot review data:

{
    "companyPageUrl": "https://www.trustpilot.com/review/shopwagandtail.com?languages=en&sort=recency&stars=5&verified=true",
    "reviewId": "65fd6a055de8c560404349e1",
    "companyName": "Wag + Tail",
    "businessUnitId": "624c24851220e2743a4d7916",
    "reviewUrl": "https://www.trustpilot.com/reviews/65fd6a055de8c560404349e1",
    "reviewDate": "2024-03-22T13:22:45.000Z",
    "reviewDateOfExperience": "2024-01-27T00:00:00.000Z",
    "reviewLabel": "verified",
    "isReviewVerified": true,
    "reviewer": "Angela Rosalie",
    "reviewerId": "656cc367ad3fb4001307cba8",
    "reviewTitle": "Great product looks so cute on my girl…",
    "reviewDescription": "Great product looks so cute on my girl and fits so well",
    "reviewRatingScore": 5,
    "reviewersCountry": "US",
    "reviewLanguage": "en",
    "reviewCompanyResponse": "",
    "scrapedDateTime": "2026-03-27T08:48:13.788Z",
    "scrapedAtReviewPageNumber": 1
}

📖 How to scrape Trustpilot reviews

Collecting reviews from companies on trustpilot.com becomes a breeze using this product. You can easily filter for the specific reviews you need and save them to Excel, CSV, XML, JSON and other formats.

Quick start: scrape Trustpilot reviews in 5 steps

1. Click "Try for free" at the top of this page. If you are not signed in to Apify yet, you will be asked to create a free account first.
2. Enter the company domain in the companyWebsite field — for example shopwagandtail.com. You do not need the full Trustpilot URL, just the domain the company is reviewed under.
3. Choose what to collect with contentToExtract: companyInformationAndReviews for everything (the default), reviews for review data only, companyInformation for business details only, or bulkCompanyInformation to pull statistics for many domains at once.
4. Narrow the results if you need to. Set filterByStarRating, filterByLanguage, filterByCountryOfReviewers, filterByDatePeriod or filterByVerifiedReviews. These are applied by Trustpilot itself, so filtering here gets you more of the reviews you actually want rather than fewer.
5. Click "Start" and collect your data. When the run finishes, open the Storage tab and select Datasets to download the results as JSON, CSV, Excel, XML, HTML table or JSONL. For large companies, raise the run timeout first — see the performance note below.

Every parameter is documented in full underneath.

Input Parameters:

• 🏢 [companyWebsite]: Enter the domain (e.g., shopwagandtail.com). For multiple companies, separate with a comma (e.g., apple.com, samsung.com). Note: Requires bulkCompanyInformation mode for multiple domains.

• 📝 [contentToExtract]:

  • companyInformationAndReviews: Full data extraction (Default).
  • reviews: Only review data.
  • companyInformation: Only business details.
  • bulkCompanyInformation: Fast extraction of stats for multiple domains.

• 🔀 [sortBy]: Choose recency (default) for the newest reviews or relevance for the most relevant, detailed reviews first.

• ⭐ [filterByStarRating]: Filter by 1, 2, 3, 4, or 5 stars. Note: Only one star-rating can be selected at a time.

• 📅 [filterByDatePeriod]: Filter reviews by when they were posted using Trustpilot's native date filters

• 💬 [filterByLanguage]: Filter by language code (e.g., da, en, es). Note: Only one language can be selected per run.

• 📍 [filterByCountryOfReviewers]: Filter by reviewer's country using ISO Alpha-2 codes (e.g., US, DK). Find ISO country codes here.

• ✅ [filterByVerifiedReviews]: Set to true to only collect verified reviews.

• 🔢 [startFromPageNumber]: You can specify the page number (eg. 7) that the scraper should start from. If this is left blank it will scrape from page 1.

• 🔢 [endAtPageNumber]: You can specify the page number (eg. 12) that the scraper should scrape last. If this is left set to 0 it will continue scraping to and including the last page or until the timeout is hit.

• 🌐 [proxies]: List of custom (non-Apify) proxy URLs to use for requests. Example: ["http://user:pass@proxy1.example.com:8000"]. Use this if you have your own proxy provider.

• 🗺️ [apifyProxyCountry]: Force all Apify proxy IPs to a specific country (2-letter ISO code, e.g. "US", "GB"). Only applies when useApifyProxy is enabled. Default: random country.

Optional Data Enrichment

These flags are false by default. Enable them to add extra fields to the output datasets.

• 👤 [includeReviewerMetadata]: Adds reviewerNumberOfReviews (total reviews posted by this reviewer) and reviewerProfileIsVerified to each review.

• 💬 [includeReplyAnalysis]: Adds companyReplyPublishedDate and companyReplyUpdatedDate to reviews that have a company response.

• 🔍 [includeExtendedMetadata]: Adds reviewSource (e.g. "InvitationApi"), reviewVerificationSource, and reviewLikes to each review.

• 📈 [includeCompanyResponseMetrics]: Adds reply metrics to the companyInformation dataset: replyAverageDaysToReply, replyPercentage, companyUsesAIResponses, and more.

• 📷 [includeReviewPhotos]: Adds reviewPhotoUrls (array of photo URLs) to reviews that have attached photos.

• 📅 [extractExperienceDate]: Set to false to omit the reviewDateOfExperience field from each review. Default: true.

💡 Pro Tip on Performance: For large-scale scraping (500+ reviews), it is highly recommended to use Datacenter or Residential proxies and setting the timeout to more than 3600 seconds (1 hour).

Adjusting Timeout: The default timeout is 3600 seconds (1 hour), which is sufficient for most companies. However, for very large review sets, you should increase the Timeout setting to match your needs. If you need help estimating the required time for your specific use case, feel free to open an issue.

Here is an example of the inputs:

Here is an example of the input in JSON format:

{
    "Proxy configuration": {
        "useApifyProxy": true,
        "apifyProxyGroups": []
    },    
    "companyWebsite": "shopwagandtail.com",
    "contentToExtract": "companyInformationAndReviews",
    "startFromPageNumber": 1,
    "endAtPageNumber": 12,
    "sortBy": "recency",
    "filterByCountryOfReviewers": "US",
    "filterByDatePeriod": "last3months",
    "filterByLanguage": "en",
    "filterByStarRating": "5",
    "filterByVerifiedReviews": true,
}

Scrape multiple different trustpilot companies

A task can be set up for each company that you want to scrape as detailed here: https://docs.apify.com/platform/actors/running/tasks

📂 Where to find your extracted data?

Once the run is finished, your data is automatically saved and accessible in two ways:

1. Quick Preview (Temporary)

Click the Output tab at the top of your run page for an immediate view of the scraped reviews. Note: Data in the Output tab (Default dataset) expires after 7 days.

2. Permanent Storage (Recommended)

For long-term access, navigate to the Storage tab and select Datasets. Here you will find your data organized into named datasets that never expire:

Data Type	📍 Dataset Name	📄 Available Formats
Full Reviews	reviews	JSON, CSV, Excel, HTML Table, RSS, JSONL
Company Details	companyInformation	JSON, CSV, Excel, HTML Table, RSS, JSONL

💡 Pro Tip: Always use the named datasets under the Storage tab for your final export to ensure you have the complete, non-expiring data for your analysis.

🔌 Trustpilot API access & integrations

Use the scraper wherever you already work — no glue code required.

• AI agents & MCP clients: reachable through the Apify MCP server at https://mcp.apify.com, so an agent can call this Actor directly as a tool.
• JavaScript / TypeScript: the official apify-client package on npm.
• Python: the official apify-client package on PyPI.
• Any other language: the standard Apify REST API, with both synchronous and asynchronous runs.
• No-code: schedule runs and push results straight to Google Sheets, Slack, Zapier, Make, or a webhook of your choice.

Ready-made snippets for every option are on the API tab of this Actor.

❓ Frequently asked questions about scraping Trustpilot

Web scraping is a cat-and-mouse game. This Actor has extracted over 37 million reviews across more than 650,000 runs, and is actively monitored and updated as Trustpilot changes. The answers below are kept current with how it actually behaves.

Can I get more than 200 reviews from one company? Yes. Trustpilot's own web interface stops paginating at roughly 200 reviews (page 10, at 20 per page), which is where most scrapers stop. This Actor is built specifically to go past that limit and retrieve the full review history.

How does this compare to Trustpilot's official API? This Actor costs a fraction of Trustpilot's enterprise pricing and does considerably more. The official API is limited to a company's own reviews, so it cannot be used for competitor analysis, market research across an industry, or historical backfills of companies you do not own. It also does not expose several of the fields you get here, including reviewer metadata, verification source and reply timing. This Actor works on any public company page on Trustpilot, with no contract and no per-seat licensing.

Can I filter by star rating, language, country or date? Yes, and filtering happens on Trustpilot's side rather than after the fact, so the page limit applies to the reviews you actually want. Use filterByStarRating, filterByLanguage, filterByCountryOfReviewers, filterByDatePeriod and filterByVerifiedReviews. Note that one star rating and one language can be selected per run — use separate runs to combine several.

Which export formats are supported? JSON, CSV, Excel, XML, HTML table and JSONL, all through the standard Apify dataset export. You can also pull results straight from the API.

Can I use this to show Trustpilot reviews live on my website? Not by calling it on page load — this is the most common misunderstanding, so it is worth being clear about. A run takes at least ~15 seconds and much longer for large companies, so it is far too slow to sit in front of a visitor waiting for a page.

The pattern that works is a scheduled sync. Run the Actor on a schedule that suits how often the company gets reviews (daily is plenty for most), write the results into your own database, and serve your website from that. You can automate the hand-off with an Apify webhook that fires when a run finishes, or by pulling the dataset from the API. Your pages then load instantly, and you stay in control of caching and formatting.

Why doesn't the number of reviews match what Trustpilot shows? Trustpilot's headline review count includes reviews that are not actually displayed on the page — deleted, hidden, or filtered by their own moderation. The Actor collects what Trustpilot serves, so a small gap between their stated total and your dataset is expected. It is a property of the platform, not a fault in the extraction.

Do I need proxies? For small runs, no. For anything sustained, yes — Trustpilot may temporarily block IPs that show high activity without them. Datacenter proxies are cheaper and adequate much of the time; residential proxies cost more per gigabyte but survive harder blocking. Start with datacenter and escalate only if you see blocks.

Enable Datacenter proxies like this:

"Proxy configuration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["DATACENTER"]
  }

And Residential proxies like this:

"Proxy configuration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }

How long does a large run take, and will it time out? It depends far more on the company than on the settings. A few hundred reviews takes a couple of minutes. Tens of thousands, with company data and filters, is measured in tens of minutes. The default run timeout is 3600 seconds, which covers most companies — raise it before starting if you are pulling 500+ reviews.

One thing to know if you are calling this from code: Apify's synchronous API endpoint has its own 300-second cap, independent of your run timeout. For anything large, start the run asynchronously and collect the results with a webhook or a follow-up API call instead.

What happens if a company is not found on Trustpilot? The run completes and reports the company as not found rather than failing, so a single bad domain in a bulk list does not break the whole run.

How do I report a bug or request a feature? Open an issue on the Actor. I read them all and typically respond within 24 hours. If Trustpilot changes something and the Actor breaks, that is the fastest way to get it fixed — bug reports from users are how several improvements got made.

🛠️ Need a custom feature?

If you need specific data points or a custom integration, don't hesitate to open an issue or contact me. I'm constantly improving the scraper based on user feedback.

🧑‍⚖️ Legal disclaimer

Please note that this product is not a product of Trustpilot, anyhow affiliated with or endorsed by Trustpilot.