Agent skill · Code Review & Quality

trustpilot-reviews

Trustpilot customer reviews scraper for any company listed on trustpilot.com — given a company domain (e.g. shopify.com, apple.com, shopwagandtail.com) plus optional filters (page number, single star rating 1-5, single language ISO code, verified-only flag, has-company-reply flag, date period last30days/last3months/last6months/last12months, free-text keyword search, and reviewer countryCode client-side filter), extracts paginated reviews with 20+ fields per review: reviewId, reviewUrl, reviewTitle, reviewDescription, reviewRatingScore (1-5), reviewDate (ISO publishedDate), reviewDateOfExperien

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill trustpilot-reviews --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 15 KB
Bundled scripts: yes
Path: solutions/social-listening/trustpilot-reviews/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Trustpilot — Reviews > Input a company domain plus optional filters → output paginated review records with reviewer info, ratings, dates, company replies, and 20+ structured fields per review. ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Extract one page of customer reviews from `trustpilot.com/review/{domain}` with the chosen filters applied. Designed to be called in a loop across pages to collect the full filtered review set. ## Prerequisites - Target page is reachable on the public web: `https://www.trustpilot.com/review/{domain}` - No login required — Trustpilot review pages are publicly accessible ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ## Capability Components > This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is enc

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. Capability Components
  7. URL Pattern (server-side filters)
  8. DOM: extract reviews from current page (SSR JSON)
  9. Enum Parameters
  10. Pagination
  11. Success Criteria
  12. Known Limitations
  13. Execution Efficiency
  14. Experience Notes
Ships with 1 file
  • scripts/extract-reviews.py
More from skills
All skills →
About this skill
What does the trustpilot-reviews skill do?

Trustpilot customer reviews scraper for any company listed on trustpilot.com — given a company domain (e.g. shopify.com, apple.com, shopwagandtail.com) plus optional filters (page number, single star rating 1-5, single language ISO code, verified-only flag, has-company-reply flag, date period last30days/last3months/last6months/last12months, free-text keyword search, and reviewer countryCode client-side filter), extracts paginated reviews with 20+ fields per review: reviewId, reviewUrl, reviewTitle, reviewDescription, reviewRatingScore (1-5), reviewDate (ISO publishedDate), reviewDateOfExperien

How do I install it?

Run `npx skills add browser-act/skills --skill trustpilot-reviews --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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