Trustpilot Reviews Scraper

What does Trustpilot Reviews Scraper do?

Trustpilot Reviews Scraper extracts reviews, ratings, and company data from any business page on Trustpilot.com. It collects 30 data fields per review including review text, star rating, author info, country, verification status, company replies, and more. No browser required — pure HTTP scraping for maximum speed and lowest cost.

Why use this scraper?

• 30 fields per review — the richest Trustpilot output on Apify Store
• 100% success rate — reliable HTTP-based extraction via server-side rendered data
• $0.20 per 1,000 reviews — cheapest paid option with full data
• No browser needed — runs on minimal memory (512 MB), fast and cost-effective
• Multi-company support — scrape multiple companies in a single run
• Filters — filter by star rating, language, verified status, and reviews with replies
• Company metadata included — trust score, total reviews, categories per company

What data can you extract?

Field	Description
reviewId	Unique review identifier
reviewUrl	Direct URL to the review
title	Review headline
text	Full review text
rating	Star rating (1-5)
publishedDate	When the review was published
experienceDate	Date of the reviewed experience
language	Review language code
likes	Number of likes on the review
verificationLevel	Verification status (invited, verified, unverified)
isVerified	Whether the reviewer is verified
authorName	Reviewer's display name
authorId	Reviewer's unique ID
authorImage	Reviewer's avatar URL
authorReviewCount	Total reviews by this author
country	Reviewer's country code
replyMessage	Company's reply text
replyPublishedDate	When the company replied
companyName	Business name on Trustpilot
companyTrustScore	Overall trust score (1-5)
companyStars	Star rating (1-5)
companyTotalReviews	Total number of reviews
companyCategories	Business categories

How much does it cost to scrape Trustpilot reviews?

This Actor uses pay-per-event pricing — you pay only for what you scrape. No monthly subscription. All platform costs (compute, proxy, storage) are included.

	Free plan	Starter ($49/mo)	Scale ($499/mo)
Per review	$0.0002	$0.00017	$0.00015
1,000 reviews	$0.20	$0.17	$0.15
10,000 reviews	$2.00	$1.70	$1.50

Real-world cost examples:

Company	Reviews	Duration	Cost (Free tier)
pipedrive.com (50 reviews)	50	~12s	~$0.02
pipedrive.com (200 reviews)	200	~25s	~$0.05
pipedrive.com (all 2,748 reviews)	2,748	~5 min	~$0.55

How to scrape Trustpilot reviews

1. Go to Trustpilot and find the company you want to scrape
2. Copy the company domain from the URL (e.g., pipedrive.com from trustpilot.com/review/pipedrive.com)
3. Enter the domain in the Company URLs or Domains field
4. Set Max Reviews Per Company to limit results (0 = unlimited)
5. Click Start and wait for the run to finish
6. Download results in JSON, CSV, or Excel

Input example:

{
    "companyUrls": ["pipedrive.com", "notion.so"],
    "maxReviewsPerCompany": 100,
    "sort": "recency",
    "includeCompanyInfo": true
}

You can also paste full Trustpilot URLs like https://www.trustpilot.com/review/pipedrive.com.

Input parameters

Parameter	Type	Default	Description
companyUrls	array	(required)	Company domains or full Trustpilot URLs
maxReviewsPerCompany	integer	0 (unlimited)	Max reviews to scrape per company
stars	array	[] (all)	Filter by star ratings (1-5)
languages	array	[] (default)	Filter by language codes (en, fr, de, es)
sort	string	recency	Sort order: recency or relevance
verified	boolean	false	Only scrape verified reviews
withReplies	boolean	false	Only scrape reviews with company replies
includeCompanyInfo	boolean	true	Add company metadata to each review

Output example

{
    "reviewId": "697f69d898b1919e835668fe",
    "reviewUrl": "https://www.trustpilot.com/reviews/697f69d898b1919e835668fe",
    "title": "The perfect CRM to scale our sales processes",
    "text": "Pipedrive is by far the most user-friendly CRM I've used...",
    "rating": 5,
    "publishedDate": "2026-02-01T16:57:28.000Z",
    "experienceDate": "2026-01-26T00:00:00.000Z",
    "updatedDate": null,
    "language": "en",
    "likes": 0,
    "verificationLevel": "invited",
    "isVerified": false,
    "source": "BasicLink",
    "authorName": "Constance",
    "authorId": "697f69be45115d00d35081cc",
    "authorImage": "",
    "authorReviewCount": 1,
    "country": "FR",
    "replyMessage": null,
    "replyPublishedDate": null,
    "replyUpdatedDate": null,
    "companyName": "Pipedrive",
    "companyDomain": "pipedrive.com",
    "companyTrustScore": 4.5,
    "companyStars": 4.5,
    "companyTotalReviews": 3212,
    "companyCategories": ["CRM Provider", "Software Company"],
    "companyUrl": "https://www.trustpilot.com/review/pipedrive.com"
}

Tips for best results

• Scrape all reviews by setting maxReviewsPerCompany to 0 — pagination handles thousands of reviews automatically
• Use star filters to target only negative (1-2) or positive (4-5) reviews for sentiment analysis
• Multi-company runs are more efficient than running the actor separately for each company
• Sort by recency to get the latest reviews first — useful for monitoring
• Combine with integrations to automate daily review monitoring

Integrations

Connect Trustpilot Reviews Scraper with your existing tools using Apify integrations:

• Google Sheets — export reviews directly to a spreadsheet
• Slack — get notified when new negative reviews appear
• Zapier / Make — trigger workflows based on new reviews
• Webhooks — send data to any API endpoint
• GitHub / GitLab — schedule runs via CI/CD

Using the Apify API

Node.js:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('automation-lab/trustpilot').call({
    companyUrls: ['pipedrive.com'],
    maxReviewsPerCompany: 100,
    sort: 'recency',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python:

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('automation-lab/trustpilot').call(run_input={
    'companyUrls': ['pipedrive.com'],
    'maxReviewsPerCompany': 100,
    'sort': 'recency',
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

FAQ

How many reviews can I scrape? There is no limit. The scraper paginates through all available reviews. Companies with thousands of reviews are handled automatically.

Does it work without proxies? Yes. Trustpilot serves data via server-side rendering without aggressive blocking. Proxies improve reliability for large-scale scraping but are not strictly required.

Can I filter reviews by date? The sort: "recency" option returns newest reviews first. You can then use maxReviewsPerCompany to limit how far back you go. Trustpilot does not support server-side date range filtering.

How often does Trustpilot change their website? Trustpilot uses Next.js with __NEXT_DATA__ for server-side rendering, a pattern that has been stable for years. The scraper extracts structured JSON directly from the page source, minimizing maintenance needs.

Can I scrape reviews in other languages? Yes. Use the languages filter to specify language codes (e.g., fr, de, es). Leave empty to get reviews in all languages.