Trustpilot Reviews Scraper: New Reviews & Replies

Get Trustpilot reviews of any company: stars, title, text, date, language, verified flag and the company reply, plus the company's TrustScore and review count. Paste domains or Trustpilot links. No reviewer names. Only-new-reviews mode for alerts. Pay per review.

Try it on Apify

Typical uses

Review monitoring and alerts: turn on Only new reviews, schedule a daily run and send new 1- and 2-star reviews to Slack, e-mail or a spreadsheet: you never get (or pay for) the same review twice.
Competitor benchmarking: compare TrustScores, complaints and reply habits of the companies in your market.
Customer-experience research: what customers praise or complain about, by star rating and language.
Sentiment analysis and AI summaries: feed clean review text to an LLM, a BI tool or an AI agent (MCP).
Agencies: weekly or monthly reputation reports for e-commerce and service clients.

Pricing

Pay per use, no subscription, no monthly fee. The price depends on your Apify plan. Apify's free plan includes $5 of usage every month.

You pay per	Free plan	Starter	Scale	Business
Review One Trustpilot review returned with its stars, title, text, date, language, verified flag and company reply. Duplicates and input mistakes are never charged.	$0.0003	$0.0003	$0.0002	$0.0002
Block of 20 reviews requested Trustpilot reviews are fetched in blocks of 20 per company (100 reviews = 5 blocks), at high priority so runs finish in about a minute. Charged for each block requested once Trustpilot has answered, even when the company has fewer reviews than requested, none matching your filters, no new review, or is not found: the data source bills them. Not charged when Trustpilot does not answer.	$0.0022	$0.0022	$0.0022	$0.0022

Run it from your code

Get an API token in the Apify Console (Settings → Integrations), then:

curl -X POST \
  "https://api.apify.com/v2/acts/plainrows~trustpilot-reviews/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{
  "companies": [
    "www.booking.com"
  ],
  "maxReviewsPerCompany": 20,
  "sortBy": "recency"
}'

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("plainrows/trustpilot-reviews").call(run_input={'companies': ['www.booking.com'],
 'maxReviewsPerCompany': 20,
 'sortBy': 'recency'})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

Use it in automations and AI agents

n8n, Make, Zapier: use the official Apify integration and pick the Actor plainrows/trustpilot-reviews.
Get a Slack alert for new negative Trustpilot reviews of your company (n8n workflow JSON)
MCP (Claude, Cursor, other AI agents): https://mcp.apify.com?tools=plainrows/trustpilot-reviews

Full documentation, input options and output fields: https://apify.com/plainrows/trustpilot-reviews