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Trustpilot Reviews Scraper — Company Reviews & TrustScore

A trustpilot reviews scraper that turns any company profile into structured company reviews: the 1–5 star rating, the headline, the body text, the language it was written in, when it was published and when the experience happened, who wrote it and from which country, whether it is verified, how many readers found it useful, and the company's own public reply. Alongside the reviews it hands you the free company block — TrustScore, the star histogram, the per-language breakdown and the public contact details — so one run returns both the customer feedback and the Trustpilot data about the profile it came from.

Run Trustpilot Reviews Scraper on Apify →

Trustpilot reviews scraper pricing: what one row costs

Pay per review row. company and status rows are free, and so is any company that turns out to have no reviews or no profile at all. Filters run before billing, so the rows you filter out cost nothing.

One run pays a small fixed overhead: a headless browser solves the site's bot challenge once, which takes five to twenty seconds of compute and a megabyte or so of proxy traffic. Every page after that is fetched without a browser, so the overhead is amortised across the whole run — it is noticeable on a twenty-review test and invisible on a thousand-review harvest. The token is re-solved every four minutes because the site stops honouring it at about five.

Trustpilot reviews scraper input reference

Every field of Trustpilot Reviews, straight from the actor's input schema.

Example input

{
  "companyDomains": ["www.booking.com", "www.expedia.com", "www.agoda.com"],
  "maxReviewsPerCompany": 60,
  "sort": "most_recent",
  "minRating": 1,
  "maxRating": 2,
  "sinceDate": "2 days",
  "requireText": true,
  "languages": "all"
}

{
  "companyDomains": ["www.monzo.com"],
  "maxReviewsPerCompany": 1000,
  "deepPaging": true,
  "requireText": true,
  "languages": "en",
  "includeCompanyRow": true
}

Trustpilot reviews scraper output fields

One row per Trustpilot review (charged), plus a free company context row and a free status row per company.

Dataset views in the Apify Console: Overview, Reviews, Complaints, Companies, Status.

Trustpilot reviews scraper in Python, JavaScript and curl

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("kestrel/trustpilot-reviews-scraper").call(run_input={
    "companyDomains": ["www.booking.com"],
    "maxReviewsPerCompany": 200,
    "sort": "most_recent",
    "languages": "all",
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row["type"] == "review":
        print(row["rating"], row["review_date"], row["title"])

JavaScript (Node)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('kestrel/trustpilot-reviews-scraper').call({
    companyDomains: ['www.monzo.com'],
    maxReviewsPerCompany: 100,
    minRating: 1,
    maxRating: 2,
    requireText: true,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.filter((i) => i.type === 'review').length, 'reviews');

curl

curl -X POST "https://api.apify.com/v2/acts/kestrel~trustpilot-reviews-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"companyDomains":["www.booking.com"],"maxReviewsPerCompany":40,"sort":"most_recent"}'

The same three calls are runnable files in the examples repository: examples/trustpilot-reviews-scraper.py|.js|.sh.

Limits and honest notes

FAQ

Does it need a Trustpilot API key or login?

No. There is no account, no key and no cookie to paste. It reads the same public pages a visitor sees.

Can I download Trustpilot reviews as CSV or Excel?

Yes. Every run writes an Apify dataset, so a Trustpilot review export is one click: Trustpilot reviews CSV, Excel, JSON, XML or RSS from the Console, or straight from the API. The Reviews view is already trimmed to the fields most people want.

How do I get only Trustpilot negative reviews?

Set minRating: 1 and maxRating: 2 — that is how you pull Trustpilot reviews by rating. That becomes the site's own star filter, so the four- and five-star rows are never downloaded and never billed. Add requireText: true to drop the rating-only rows.

How far back can I go?

As far as 200 reviews per filtered view takes you — a few weeks on a very busy brand, years on a quiet one. Use dateRange to aim a window, and sinceDate to stop a scheduled run as soon as it reaches material it already has.

Which companies can I scrape?

Any profile that exists. Give the domain exactly as the profile lists it. If the profile does not exist you get a free status row with not_found — you are never charged for a miss, and it is never reported as "no reviews".

Does it include the company's replies?

Yes: reply_text and reply_date on every review that has one. Response rate and median response delay are both computable from a single run.

What is TrustScore, and where do I find it?

TrustScore is the platform's weighted score out of five, and it lives on the free company row as trust_score, next to stars, review_count and the full ratings histogram. You are never billed for it.

Can I use this for review sentiment analysis?

Yes, and requireText: true plus a single languages value is the combination to use — it gives a model clean, one-language input with no rating-only rows to skew the corpus.

How fast is it?

About one page (20 reviews) per second per session, two sessions by default, plus the one-off browser bootstrap. A 1,000-review company takes a couple of minutes; a hundred small profiles take about the same.

What does bulk work cost?

Cost scales with delivered rows, not with companies, which is what makes bulk company reviews practical. A hundred profiles at 50 recent reviews each is 5,000 rows; the same hundred profiles at minRating: 1, maxRating: 2 is a fraction of that, because the rest are never fetched.

How to use Trustpilot Reviews Scraper

• How to Scrape Trustpilot Past the 200-Review Wall — Trustpilot serves anonymous visitors 200 reviews per view, then redirects to login. The star-band split that legitimately returns 1,000, with Python.
• Which Review Sites Can Be Scraped Without a Browser — Measured evidence for 14 review sources: which answer a plain HTTP client, which need a TLS fingerprint, which need a browser, and which are closed.
• How to Build a Voice of Customer Dataset — Join reviews from OTAs, marketplaces, app stores and Trustpilot into one table: scales, languages, dedupe keys, ceilings and what each source is good for.
• Pay Per Event vs Per Result: Scraper Pricing — How scraper pricing models differ, why the per-row price is not the cost, and the four questions that decide what a scraping job actually bills you.
• How to Schedule a Scraper So It Never Goes Stale — Hard-coded dates rot the day after you set them. Relative date inputs keep a scheduled scraper meaning the same thing every morning — here is the grammar.

Ready-made runs you can open and start

Each one is a saved input on the Apify Store — open it, press Start, and it runs with the fields already filled in. All 163 across the suite.

Related scrapers

• Amazon Reviews Scraper — product reviews with ratings, verified-purchase flags and variants.
• App Store Reviews Scraper — iOS reviews by app and country, with developer responses.
• Google Play Reviews Scraper — Android reviews with app version, thumbs-up counts and replies.

Run Trustpilot Reviews Scraper

The actor lives on the Apify Store, where the pricing tab carries the live per-row price and the input form has every field above: apify.com/kestrel/trustpilot-reviews-scraper