Trusted Shops Scraper — Extract Verified Customer Reviews & Shop Ratings

Extract Trusted Shops merchant reviews and shop rating data from trustedshops.de — Europe's leading trust-mark and review platform — for e-commerce reputation monitoring, competitor benchmarking, and trust-signal analysis. Returns the shop name/domain, TSID, overall rating, star distribution, certification status and every customer review (rating, text, date, verified flag) as clean JSON/CSV/Excel rows — no browser, no proxy, no login.

Main Use Cases

• E-commerce reputation monitoring — track your own or any competitor's Trusted Shops rating, star distribution and certification status over time.
• Competitive review benchmarking — bulk-compare merchant trust signals across thousands of German and EU online shops.
• Building structured shop review datasets — full review history (text, star rating, order date, verified-purchase flag, merchant replies) for analysis or resale.
• Trust-signal verification — check Trusted Shops seal (Käuferschutz / buyer protection) status and certification type for any shop.
• EU market research — analyze how German-speaking e-commerce merchants are rated across .de, .at, .ch and other locales.

How It Works

Give the actor a shop website domain (e.g. outdoor-renner.de), a Trusted Shops profile URL, or a bare TSID — it resolves the shop to its Trusted Shops profile via the official public REST API, then reads the profile and reviews. The actor is a lightweight CheerioCrawler (plain HTTP, no browser) that parses the React Server Components payload embedded in the public profile page and the internal JSON API the frontend uses for review pagination. Runs cost a fraction of a compute unit, finish in seconds, and need no proxy — the endpoints are not Cloudflare-walled.

Extract Trusted Shops Review Data Without an Official API

Trusted Shops has no public review API for third parties: api.trustedshops.com exposes only shop-search endpoints, and the official review export lives inside a merchant's own dashboard. This actor fills that gap — it reads the public profile page and the public JSON APIs that page itself uses, so you get the same data the website shows, structured and ready to analyze.

Input is flexible:

Field	Type	Required	Default	Notes
shopDomains	array	No*	["outdoor-renner.de"]	Shop website domains, resolved to their Trusted Shops profile via the official public API
profileUrls	array	No*	[]	Direct profile URLs (e.g. https://www.trustedshops.de/bewertung/info_X8B4BF6371C245F95B3BD70755FE286F2.html) or bare TSIDs (X + 32 hex chars). Skips the lookup step.
maxReviewsPerShop	integer	No	50	Max individual reviews per shop (1–10000)
maxResults	integer	No	200	Overall cap on output rows (shop summary + reviews), 1–100000
includeShopInfo	boolean	No	true	Also push one shop summary row per shop (overall rating, star distribution, certification, address, contact)
proxy	object	No	{"useApifyProxy": false}	Standard Apify proxy picker. Not required — endpoints are not proxy-walled.

* At least one of shopDomains or profileUrls must be provided.

Example input

{
  "shopDomains": ["outdoor-renner.de"],
  "maxReviewsPerShop": 50,
  "maxResults": 200,
  "includeShopInfo": true
}

Understand the Output: Shop Ratings, Star Distribution & Reviews

Two row types, keyed by recordType:

Shop summary row (recordType: "shop") — one per shop:

{
  "recordType": "shop",
  "tsId": "X8B4BF6371C245F95B3BD70755FE286F2",
  "shopName": "RennerXXL - Outdoor- und Sportbekleidung in Übergrößen",
  "shopDomain": "www.outdoor-renner.de/",
  "overallRating": 4.8,
  "yearlyReviewCount": 1921,
  "allTimeReviewCount": 28614,
  "starDistribution": { "1": 19, "2": 10, "3": 34, "4": 210, "5": 1648 },
  "isCertified": true,
  "certificationType": "CLASSIC",
  "certifiedSince": "2010-08-11T22:00:00.000Z",
  "hasBuyerProtection": true,
  "profileType": "member",
  "language": "de",
  "targetMarket": "DEU",
  "address": { "city": "Buch", "countryCode": "DEU" },
  "contactData": { "phone": "+4987099430146", "email": "service@outdoor-renner.de" }
}

Review row (recordType: "review") — one per customer review:

{
  "recordType": "review",
  "reviewId": "rev-677a8258-f2e5-4f78-b72c-4e36af338c19",
  "tsId": "X8B4BF6371C245F95B3BD70755FE286F2",
  "shopName": "RennerXXL - Outdoor- und Sportbekleidung in Übergrößen",
  "rating": 5,
  "title": "Super Leistung und Ware!",
  "text": "Die Erläuterungen auf der Webseite zu der Ware und die Tipps zur Bemessung sind wirklich hilfreich...",
  "reviewDate": "2026-09-21T16:18:38.000Z",
  "orderDate": "2026-09-11T14:41:59.000Z",
  "verificationStatus": "MEMBER_VERIFIED",
  "isVerified": true,
  "replyText": null,
  "reviewerCity": null,
  "reviewerTotalReviews": 1
}

Data fields

Field	Description
tsId	Trusted Shops ID (X + 32 hex chars)
shopName / shopDomain	Merchant display name and website
overallRating	Average star rating (grade)
starDistribution	Count of reviews per star (1–5)
isCertified / certificationType / certifiedSince	Trusted Shops seal status
hasBuyerProtection	Käuferschutz (buyer protection) availability
rating / title / text	Review score, headline and body
reviewDate / orderDate	Review and order timestamps
verificationStatus / isVerified	Verified flag (MEMBER_VERIFIED, OPEN_PROFILE_VERIFIED, EXTERNAL)
replyText / replyDate	Merchant reply to the review

Download the dataset as JSON, CSV, HTML, or Excel, or pull it via the Apify API.

Integrations & Automation — Schedule Trusted Shops Rating Monitoring

The actor runs on the Apify platform, so you get API access, scheduling, webhooks, Zapier/Make/n8n integrations, and monitoring out of the box. For rating monitoring, schedule a daily or weekly run (e.g. every Monday 08:00 UTC) so you always have a fresh snapshot of your own or competitors' overall rating, star distribution and certification status. For review-flow alerting, hook the dataset to a webhook and pipe new low-rating reviews into Slack or email.

Related Actors

• Trusted Shops Reviews Scraper (rainminer) — the closest existing Trusted Shops actor on the Store (start-URL-based)
• Trusted Shops & ProvenExpert Reviews Scraper - German Ratings (kamerozkan) — multi-platform German reputation data (ProvenExpert, Trusted Shops, eKomi, Google Maps)
• Trustpilot Review Scraper (loongge) — the dominant review platform for comparison
• Google Maps Reviews Scraper — the other main review source for local/German businesses

FAQ

Why use this actor instead of the official Trusted Shops API?

Trusted Shops' public API (api.trustedshops.com) covers shop search and basic profile lookups but exposes no review data; the review export offered to merchants lives in their own dashboard and covers only their own shop. This actor reads the same public profile and review data the website shows — for any shop, not just your own — at $0.001 per result (review or shop summary row).

What are alternatives to this actor / Trusted Shops data?

Trustpilot, ProvenExpert, eKomi and Google Maps all carry German e-commerce reviews. The kamerozkan actor above covers several at once; this actor is specific to Trusted Shops' own trust-mark data (certification, Käuferschutz, star distribution), which those platforms don't have.

Is scraping Trusted Shops legal, and what about GDPR?

This actor only reads publicly available profile pages and public API endpoints — no login bypass, no CAPTCHA solving. The data contains review text and, for most reviews, an anonymized reviewer (names are null for most reviews). You are responsible for complying with Trusted Shops' terms of service and applicable law (e.g. GDPR) when processing review data.

What is a Trusted Shops "Käuferschutz" / buyer protection?

Trusted Shops' buyer protection refunds customers if their order goes wrong. The hasBuyerProtection field tells you whether a shop offers it — a meaningful trust signal for shoppers evaluating an unfamiliar store.

How do I get review data for a shop when I only know its website?

Use shopDomains with the website URL — the actor resolves it to the Trusted Shops profile automatically via the official public API. Or paste a profile URL / TSID directly into profileUrls to skip the lookup.

Known limitations

• The internal reviews API returns the 20 most recent reviews per page in DESC order; sortBy=date exists but isn't exposed as an input yet.
• Reviewer names are anonymized by Trusted Shops for most reviews.

For AI Agents & LLM Apps

Purpose: Returns Trusted Shops shop summaries and verified customer reviews as JSON rows (two recordTypes: shop and review).

Minimal working input:

{ "shopDomains": ["outdoor-renner.de"], "maxReviewsPerShop": 50, "maxResults": 200, "includeShopInfo": true }

Variant inputs:

{ "profileUrls": ["https://www.trustedshops.de/bewertung/info_X8B4BF6371C245F95B3BD70755FE286F2.html"], "maxReviewsPerShop": 20 }

Output fields (per row): recordType, tsId, shopName, shopDomain, overallRating, yearlyReviewCount, allTimeReviewCount, starDistribution, isCertified, certificationType, certifiedSince, hasBuyerProtection, reviewId, rating, title, text, reviewDate, orderDate, verificationStatus, isVerified, replyText, reviewerCity, reviewerTotalReviews.

Behaviors an agent should know:

• includeShopInfo: true pushes one shop row per shop in addition to review rows — both count against maxResults (billed at the same $0.001 per row).
• Provide at least one of shopDomains or profileUrls; shopDomains costs one extra lookup request but finds the TSID for you.
• Verified flag values: MEMBER_VERIFIED, OPEN_PROFILE_VERIFIED, EXTERNAL (isVerified is derived from it).
• Billing: pay-per-result — $0.001 per row (review or shop row), plus a tiny per-run actor start fee.

Legal & Compliance Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Trusted Shops GmbH. It reads only publicly available Trusted Shops profile pages and public API endpoints — no login bypass, no CAPTCHA solving, no access to merchant dashboards. Users are responsible for their own compliance with Trusted Shops' Terms of Service and applicable data-protection law (e.g. GDPR) when processing review data, which may include personal data of reviewers. Use review data for legitimate analysis only.

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