mcpbeat Sign in

Trustpilot Company Info Agent Skill

Trustpilot company profile lookup on trustpilot.com — input a company domain (e.g. apple.com, shopify.com, shopwagandtail.com) and extract company metadata: official display name, businessUnitId, TrustScore (1-5), star rating, total review count, last-12-months review count, primary category and all categories, verification flags (verifiedByGoogle, verifiedPaymentMethod, verifiedUserIdentity), claimed/closed status, website URL, contact info (email, phone, country, city, address, zip), profile image, and optional reply behavior metrics (averageDaysToReply, replyPercentage, negativeReviewsWithRepliesCount, companyUsesAIResponses). Detects company-not-found and returns isCompanyFound=false with the searched domain. Use when user mentions Trustpilot company info, Trustpilot TrustScore, look up Trustpilot rating, check Trustpilot stars, Trustpilot business profile, Trustpilot review count, Trustpilot company lookup, Trustpilot verification status, Trustpilot reply percentage, Trustpilot AI responses, business unit ID Trustpilot, get company rating from Trustpilot, scrape Trustpilot company, batch enrich domains with Trustpilot, bulk company info Trustpilot, fast domain enrichment with TrustScore, Trustpilot company metadata, Trustpilot brand monitoring, competitor TrustScore comparison, trustpilot.com domain enrichment, trustpilot company profile, trustpilot domain check, trustpilot business listing, check if company is on Trustpilot, Trustpilot category lookup, company contact info from Trustpilot. Also applies to lead-list enrichment with reputation scores, supplier vetting, agency or KOL vetting via review reputation, aggregator sites that need TrustScores for many domains, due-diligence workflows, and pre-outreach reputation checks.

4k tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
5133
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/browser-act/skills --skill trustpilot-company-info

What comes with it

5 325 bytes besides the instruction
scripts/extract-company-info.py

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

12 sections, as written by the author

Trustpilot — Company Info

> Input a company domain (or list of domains) → output the company's Trustpilot profile: name, TrustScore, stars, review count, verification flags, category, contact info, and optional reply behavior metrics.

Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Extract a single company's public Trustpilot profile data from trustpilot.com/review/{domain}. Designed to be called once per domain; chain calls or write a batch loop when enriching many domains.

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 encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". $(...) is bash syntax; it is recommended to use the bash tool for execution.

DOM: extract company profile (from SSR JSON embedded in the review page)

The Trustpilot review page is server-rendered with Next.js; the complete businessUnit record is embedded in <script id="__NEXT_DATA__">. Extraction reads this script directly — no separate API call required.

Steps:

  • navigate https://www.trustpilot.com/review/{domain} (replace {domain} with the company domain, e.g. apple.com, shopwagandtail.com)
  • wait stable --timeout 30000
  • eval "$(python scripts/extract-company-info.py)" — basic profile
  • eval "$(python scripts/extract-company-info.py --include-response-metrics)" — also include reply behavior + AI response flag

Parameters:

  • --include-response-metrics (optional flag): adds replyAverageDaysToReply, replyPercentage, totalNegativeReviewsCount, negativeReviewsWithRepliesCount, lastReplyToNegativeReview, companyUsesAIResponses, claimedDate, isAskingForReviews to the output.

Output example (company found, with --include-response-metrics):

{
  "isCompanyFound": true,                                    // false when domain has no Trustpilot page
  "company": "Wag + Tail",                                   // display name
  "businessUnitId": "624c24851220e2743a4d7916",              // Trustpilot internal ID
  "identifyingName": "shopwagandtail.com",                   // canonical domain on Trustpilot
  "rating": "4.7",                                           // TrustScore as string
  "trustScoreNumeric": 4.7,                                  // TrustScore as number
  "stars": 4.5,                                              // visual star rating
  "OfficialTotalReviewCount": 258,                           // total reviews (may include hidden)
  "numberOfReviewsLast12Months": 1,                          // rolling 12-month review count
  "isCompanyVerified": "yes",                                // "yes" if any verification flag is true, else "no"
  "verificationFlags": {                                     // breakdown of verification sources
    "verifiedByGoogle": false,
    "verifiedPaymentMethod": false,
    "verifiedUserIdentity": true
  },
  "isClaimed": true,                                         // claimed by the business owner
  "isClosed": false,
  "isTemporarilyClosed": false,
  "isCollectingReviews": false,
  "category": "Pet Store",                                   // primary category name
  "categoryId": "pet_store",
  "allCategories": [{ "id": "pet_store", "name": "Pet Store", "isPrimary": true }],
  "websiteUrl": "https://shopwagandtail.com",
  "websiteTitle": "shopwagandtail.com",
  "profileImageUrl": "//s3-eu-west-1.amazonaws.com/tpd/logos/624c24851220e2743a4d7916/0x0.png",
  "contactEmail": "[email protected]",                // may be null
  "contactPhone": null,
  "contactCountry": "US",
  "contactCity": null,
  "contactAddress": null,
  "contactZipCode": null,
  "locationsCount": 0,
  "companyPageUrl": "https://www.trustpilot.com/review/shopwagandtail.com",
  "scrapedDateTime": "2026-06-26T04:12:17.272Z",
  "replyAverageDaysToReply": 0,                              // only when --include-response-metrics
  "replyPercentage": 0,
  "totalNegativeReviewsCount": 0,
  "negativeReviewsWithRepliesCount": 0,
  "lastReplyToNegativeReview": null,
  "companyUsesAIResponses": false,
  "claimedDate": "2022-04-05T13:54:41.000Z",
  "isAskingForReviews": false
}

Output example (company not found on Trustpilot):

{
  "isCompanyFound": false,
  "companyPageUrl": "https://www.trustpilot.com/review/nonexistent-xyz-9999.com",
  "searchedDomain": "nonexistent-xyz-9999.com",
  "scrapedDateTime": "2026-06-26T04:13:45.151Z"
}

Error handling: when the __NEXT_DATA__ script tag is missing or businessUnit is absent for a non-404 page, the script returns {"error": true, "message": "..."}. If this happens, confirm the page loaded fully (wait stable), then re-run. If the page is rate-limited or shows an anti-bot challenge, switch to a stealth browser with proxy and retry.

Success Criteria

isCompanyFound === true && company !== null && OfficialTotalReviewCount !== null && trustScoreNumeric !== null — for an existing company; isCompanyFound === false && searchedDomain !== null — for a not-found domain.

Known Limitations

  • OfficialTotalReviewCount is Trustpilot's official count and may include reviews currently hidden by Trustpilot's filtering (deleted, flagged, machine-filtered). This is a platform-level characteristic, not a script bug.
  • Reply behavior metrics (replyAverageDaysToReply, replyPercentage, etc.) reflect only negative-review replies on Trustpilot's activity.replyBehavior block; positive-review replies are not tracked separately.
  • Some companies have empty contactInfo fields (phone/address/city/zipCode null) — Trustpilot only surfaces what the business has filled in.
  • numberOfReviewsLast12Months represents the rolling 12-month window the page advertises; rerunning months later returns a different number naturally.

Execution Efficiency

  • Batch orchestration: Write a bash script to loop through domains serially within a single session; do not parallelize within one browser (prone to triggering anti-scraping restrictions). Refer to rate information in "Known Limitations" above to add appropriate intervals. To increase throughput, open multiple stealth browser sessions and distribute work across them — each session has an independent fingerprint so rate limits apply per session
  • Test before batch execution: After writing a batch script, you must first test with 1-2 items to verify the script runs correctly; only then run the full batch. Never skip testing and execute in batch directly
  • Reduce redundant pre-operations: When multiple steps depend on the same prerequisite state, complete them in batch under that state to avoid repeatedly establishing the same state
  • Error resumption: Save results item by item during batch processing; on failure, resume from the breakpoint rather than starting over

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/trustpilot-reviews-scraper-trustpilot-company-info.memory.md (working directory is determined by the Agent running the Skill, typically the project root or current working directory)

Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.

After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line:

{YYYY-MM-DD}: {what happened} → {conclusion}

Normal execution does not write to the file. Do not record what keywords were used or how many results were returned — those are task outputs, not experience.

Other skills for the same job

different authors, same section of the catalogue
Apify Ultimate Scraper
by apify
vendor ×1

Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp, and 15+ more platforms. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, review analysis, SEO intelligence, recruitment, or any data extraction task.

20k tokens
Sitemap Audit
by nowork-studio

> XML sitemap audit — find and fix the sitemap problems that quietly waste crawl budget and slow indexing. Discovers the sitemap (robots.txt, /sitemap.xml, sitemap index), validates structure and size limits, and cross-checks the URLs URLs that shouldn't be in a sitemap, plus indexable pages that are missing from it. Reviews lastmod accuracy, sitemap-index organization, and robots.txt reference. Use this skill whenever the user asks about sitemaps, sitemap errors in Search Console, "sitemap couldn't fetch / has errors", crawl budget, pages "sitemap.xml", "XML sitemap", "sitemap errors", "sitemap audit", "couldn't fetch sitemap", "crawl budget", "pages not indexed sitemap", "sitemap index", "lastmod", "robots.txt sitemap", or any sitemap/crawl-coverage question. For a full-site SEO audit use /seo-analysis; for broken links use /broken-link-checker.

1k tokens
Pricing Tracker
by firecrawl
vendor

| Extract and normalize pricing tiers from any SaaS, API, cloud, or LLM vendor's pricing page. Use this skill whenever the user says "pricing for X", "how much does X cost", "pricing tiers", "cost comparison", provides a URL ending in `/pricing` or `/plans`, or asks to monitor pricing over time. Pairs well with `exportSkill` to turn a run into a cron-friendly workflow. Scrape-driven; no interact needed for typical pricing pages.

1k tokens
Blog Feed Monitor
by gooseworks-ai

> Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites. Use when you need to monitor competitor blogs, track industry content, or aggregate blog posts by keyword.

4k tokens scripts
Competitor Content Tracker
by gooseworks-ai

> Monitor competitor content across blogs, LinkedIn, and Twitter/X on a recurring basis. Surfaces new posts, trending topics, and content gaps you can own. Chains blog-feed-monitor, linkedin-profile-post-scraper, and twitter-mention-tracker. Use when you want a weekly digest of what competitors are publishing and which topics are generating engagement.

2k tokens
Competitor Post Engagers
by gooseworks-ai

> Find leads by scraping engagers from a competitor's top LinkedIn posts. Given one or more company page URLs, scrapes recent posts, ranks by engagement, selects the top N, extracts all reactors and commenters, ICP-classifies, and exports CSV. Use when someone wants to "find leads engaging with competitor content" or "scrape people who interact with [company]'s LinkedIn posts".

11k tokens scripts
Kol Content Monitor
by gooseworks-ai

> Track what key opinion leaders (KOLs) in your space are posting on LinkedIn and Twitter/X. Surfaces trending narratives, high-engagement topics, and early signals of emerging conversations before they peak. Chains linkedin-profile-post-scraper and twitter-mention-tracker. Use when a marketing team wants to ride trends rather than create them from scratch, or when a founder wants to know which topics are resonating with their audience.

2k tokens
Meta Ad Scraper
by gooseworks-ai

Scrape competitor ads from Meta's Ad Library (Facebook, Instagram, Messenger, Threads, WhatsApp). Search by company name, Facebook Page URL, or keyword. Returns ad creatives, spend estimates, reach, impressions, and campaign details. Use for competitive ad research, messaging analysis, and creative inspiration.

3k tokens scripts

How to use it

Copy the folder

Take browser-act/trustpilot-company-info from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.