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Trustpilot Reviews Scraper & Reputation Intelligence

Pricing

$0.50 / 1,000 review results

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Trustpilot Reviews Scraper & Reputation Intelligence

Trustpilot Reviews Scraper & Reputation Intelligence

Scrape public Trustpilot reviews without an API key or login, export structured ratings, replies and company data, and analyze observed reputation health, trends and recurring complaints.

Pricing

$0.50 / 1,000 review results

Rating

0.0

(0)

Developer

Azzari Labs

Azzari Labs

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

8 days ago

Last modified

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Private Apify Actor for observing public Trustpilot company pages with a standard headless Chromium browser and exporting structured reviews plus deterministic reputation signals.

Zero-cost acquisition

  • HTTP-first access is not used for data when Trustpilot serves its verification interstitial; the production transport uses anonymous standard Chromium.
  • No Trustpilot API key, account login, personal cookies, CAPTCHA solver, bypass, proxy, or paid external service is used.
  • The browser uses an isolated context with en-US locale and UTC timezone. Public __NEXT_DATA__ is parsed from the rendered page.
  • The public review window is capped at 200 reviews per company (10 public pages at 20 reviews/page). A cap warning is emitted when Trustpilot reports more pages.

Input

companies is required and defaults to trustpilot.com. Other defaults are 25 reviews per company, newest ordering, all ratings/languages, and company replies/profile enabled. A run cannot start with an empty company list.

Output

Dataset rows are either review or company_summary. Every row carries source=trustpilot and a UTC retrieved_at. OUTPUT is JSON and REPORT.html is a self-contained HTML report. No synthetic review data is generated.

PPE readiness

The prepared event is review-result at USD 0.00050 per unique valid public review delivered. Company summaries, warnings, errors, duplicates, empty results, OUTPUT, and REPORT are not billable. Store publication and monetization activation are intentionally separate deployment steps.

Development

python -m unittest discover -s tests -q
apify validate-schema

The Actor is intended to remain private and unpublished until an explicit release decision.