Trustpilot Scraper — Reviews, Companies & Reputation Monitor

Unofficial tool for publicly accessible Trustpilot data. Trustpilot and related trademarks belong to their respective owners. Not affiliated with, sponsored by, or endorsed by Trustpilot A/S. Provided for informational and reputation-monitoring use only; users must comply with applicable terms and laws.

Trustpilot Scraper ◄── you are here

Scrape Trustpilot company profiles and reviews into structured JSON on Apify — TrustScore, star ratings, review text, language, consumer country, and company replies. Use it as a practical Trustpilot API alternative for Python or Node.js pipelines, scheduled reputation monitoring, and ORM / brand-intel workflows. Default monitor / incremental mode only emits new reviews and TrustScore deltas, so daily cron runs stay cheap instead of re-downloading full histories.

Best for: Trustpilot review mining, competitor reputation tracking, TrustScore drop alerts, star/language-filtered exports, and JSON/CSV datasets for BI or AI assistants via Apify MCP.

When to use this Actor

• Trustpilot reviews scraper jobs for one or many company domains
• Incremental monitoring — scheduled runs that stop early once known reviews appear
• TrustScore alerts via webhook or Telegram when the score moves
• Full company dumps past the public ~200-review page cap (star × language filter splitting)
• Star- or language-filtered review exports for sentiment / NLP pipelines

When not to use this Actor

• Private Trustpilot Business inbox / messaging — this Actor only reads public review pages
• Writing reviews, claiming profiles, or authenticated Business Portal actions
• Sites other than Trustpilot company review pages

Modes

Mode	What it does
monitor	Named KV watermarks + early-stop; emit only new reviews / meta deltas (default)
company	Company profile row + reviews (optional recursive splitting)
reviews	Reviews only

Key features

• Hybrid WAF access — Playwright solves AWS WAF once (aws-waf-token); curl_cffi fetches pages with Chrome TLS; persistent browser fallback if needed
• Monitor-first design — watermark + seen review IDs; early-stop after consecutive known / older reviews
• Recursive filter splitting — stars → languages when numberOfReviews > 200 on full scrapes
• Typed dataset rows — recordType: company, review, monitor_event
• Alerts — optional webhookUrl (Slack / Discord / custom) + Telegram bot
• Residential proxies — recommended; datacenter IPs are usually blocked

Input parameters

Parameter	Description
mode	monitor / company / reviews
startUrls / companyDomains	Review page URLs or domains (e.g. spotify.com)
maxReviews	Per-company review cap (0 = unlimited within splitter / page limits)
maxItems	Hard dataset row cap (0 = unlimited)
stars / languages	Optional filters
splitLargeCompanies	Auto star × language split when total > 200 (full scrape only)
concurrency	Parallel page workers
monitorStoreName / monitorBaselineOnly / resetMonitorState	Monitor KV controls
monitorFetchReviews / monitorMaxPages / earlyStopAfterKnown	Incremental scan controls
webhookUrl / telegramToken / telegramChatId	Alerts
proxyConfiguration	Use Apify Residential proxies

Example — monitor baseline then schedule

{
  "mode": "monitor",
  "companyDomains": ["spotify.com", "notion.so"],
  "monitorStoreName": "trustpilot-monitor-store",
  "monitorBaselineOnly": true,
  "monitorMaxPages": 3,
  "earlyStopAfterKnown": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

After the baseline run, set monitorBaselineOnly to false (or omit it). Schedule every 15–60 minutes — later runs emit only deltas and stop early.

Example — full company scrape

{
  "mode": "company",
  "companyDomains": ["spotify.com"],
  "maxReviews": 250,
  "splitLargeCompanies": true,
  "concurrency": 4,
  "includeCompanyProfile": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output

recordType	Fields (highlights)
company	companyDomain, companyName, trustScore, stars, numberOfReviews, url
review	reviewId, reviewTitle, reviewText, reviewRating, publishedDate, consumerName, hasReply
monitor_event	changeType (new_review, trustscore_drop, trustscore_rise, review_count_change, …)

Output example — review

{
  "recordType": "review",
  "companyDomain": "spotify.com",
  "companyName": "Spotify",
  "reviewId": "6a6b2fc33b6685498e30e738",
  "reviewTitle": "It just became my default",
  "reviewText": "Easy to use and great catalog.",
  "reviewRating": 5,
  "reviewLanguage": "en",
  "publishedDate": "2026-08-01T12:00:00.000Z",
  "consumerName": "Alex",
  "consumerCountry": "US",
  "hasReply": false,
  "scrapedAt": "2026-08-03T10:05:20.000Z"
}

Use cases

Use case	What you get
ORM / brand monitoring	New reviews + TrustScore moves on a schedule
Competitor research	Structured review text, stars, and replies for rivals
Negative-review alerts	Webhook / Telegram only for 1–2★ reviews
Sentiment / NLP datasets	Clean JSON/CSV review corpora by language or star
AI assistant workflows	Run via Apify API, clients, or MCP and summarize results

Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/trustpilot-scraper').call({
  mode: 'company',
  companyDomains: ['spotify.com'],
  maxReviews: 100,
  proxyConfiguration: {
    useApifyProxy: true,
    apifyProxyGroups: ['RESIDENTIAL'],
  },
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));

Python

from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/trustpilot-scraper").call(
    run_input={
        "mode": "monitor",
        "companyDomains": ["spotify.com"],
        "monitorStoreName": "trustpilot-monitor-store",
        "monitorBaselineOnly": False,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"],
        },
    }
)
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(len(items), items[:3])

cURL

curl "https://api.apify.com/v2/acts/crawloop~trustpilot-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "mode": "reviews",
    "companyDomains": ["spotify.com"],
    "maxReviews": 50,
    "proxyConfiguration": {
      "useApifyProxy": true,
      "apifyProxyGroups": ["RESIDENTIAL"]
    }
  }'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call crawloop/trustpilot-scraper.

Example prompts:

• "Run the Trustpilot scraper for spotify.com in company mode, max 100 reviews, and return TrustScore plus the newest 10 reviews as JSON"
• "Scrape Trustpilot reviews for notion.so and summarize the top 1-star complaint themes"
• "Start a Trustpilot monitor baseline for my brand domains, then tell me how to schedule incremental runs"

Monitor workflow

1. Seed with mode=monitor + monitorBaselineOnly=true (writes KV watermarks, no deltas).
2. Schedule the same Actor with monitorBaselineOnly=false.
3. Each run refreshes the company fingerprint, walks newest reviews, and stops after earlyStopAfterKnown consecutive already-seen / older reviews.
4. Optional webhook / Telegram fires for configured change types.

FAQ

Is this a Trustpilot API?

No official Trustpilot Business API key is required. The Actor reads publicly available company review pages and returns structured dataset rows — a common Trustpilot API alternative for scraping / monitoring use cases.

Why do I need residential proxies?

Trustpilot sits behind AWS WAF. Datacenter IPs usually get a challenge page. Use Apify Residential proxies for reliable runs.

How does monitor mode save cost?

It stores review watermarks in a named Key-Value Store. Later runs only emit new reviews / TrustScore changes and stop pagination early when they hit already-seen content.

Can I scrape more than 200 reviews per company?

Yes, in company / reviews mode with splitLargeCompanies=true. The Actor splits by stars and then languages to work around the public 10-page listing cap, then deduplicates by review ID.

Can I filter by stars or language?

Yes — set stars (e.g. ["1","2"]) and/or languages (e.g. ["en","de"]).

Does it export JSON / CSV?

Yes. Results land in the Apify dataset. Download JSON, CSV, or Excel from the run, or pipe via API / integrations / MCP.

Tips

• Prefer monitor for production schedules; use company for historical dumps.
• Keep concurrency moderate (2–6) on shared residential pools.
• Always enable Residential proxies for Store QA and production.