Trusted Shops Reviews Scraper

hipersoft/trustedshops-scraper

Scrape customer reviews from Trusted Shops for any online shop: rating, title, comment, date, order date, verification, reviewer, shop reply, plus shop rating, total reviews and certification. Enter shop domains, names or profile links. Filter by stars.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per review

$0.001

Last rebuilt

Oct 26, 2026

Overview

Trusted Shops Reviews Scraper extracts customer reviews from Trusted Shops, Europe's leading trustmark and review platform for online shops with tens of thousands of certified e-commerce stores in Germany, Austria, Switzerland, France, the Netherlands, Spain, Italy, Poland and the UK. Enter shop domains (zalando.de, otto.de…), shop names or Trusted Shops profile links, and get every review with the star rating, title, full comment, review date, order date, verification status, reviewer first name and city, reviewer's total reviews, attached photos and the shop's reply with date, plus the shop's overall rating, total review count, reviews in the last 12 months, certification status, categories and target market. Filter by star rating and sort by newest or most relevant. Export to CSV, Excel or JSON. Ideal for reputation monitoring, competitor analysis, e-commerce research and sentiment analysis.

What does Trusted Shops Reviews Scraper do?

⭐ Customer reviews of any shop on Trusted Shops.
🔎 Find shops by domain or name, or paste profile links.
🌟 Star filter: only 1–2 star complaints, or only 5-star praise.
🆕 Newest first or most relevant sorting.
💬 Shop replies with reply date.
✅ Verification status and order date.
🏪 Shop summary: overall rating, total reviews, last-12-months reviews, certification, categories.
📸 Review photos.

What data can you scrape from Trusted Shops?

Field	Description
Review	ID, star rating, title, comment, date, order date, verification, photos
Reviewer	First name and initial, city, number of reviews written
Reply	Shop reply and reply date
Shop	Name, URL, Trusted Shops ID, profile link, overall rating, total reviews, reviews in last 12 months, certified, categories, market

Use cases for Trusted Shops review data

Reputation monitoring: track new reviews and ratings of your own shop.
Competitor analysis: compare ratings and complaints of competing shops.
Customer service: find unanswered negative reviews.
Sentiment analysis and NLP: collect labelled German and European e-commerce review text.
Agencies: report on clients' customer satisfaction over time.
Market research: benchmark delivery, product and service quality across shops.

How to scrape Trusted Shops reviews

Click Try for free to open Trusted Shops Reviews Scraper in Apify Console.
Enter shops as domains, names or profile links.
Optionally choose star ratings and sort order.
Set Max reviews per shop and click Start.
Download the reviews as CSV, Excel or JSON.

Input

Example input

{
  "shops": ["zalando.de", "jalousiescout.de"],
  "maxReviewsPerShop": 500,
  "stars": ["1", "2"],
  "sortBy": "date"
}

Field	Description
Shops	Domains, names or Trusted Shops profile links.
Max reviews per shop	0 = all reviews.
Star ratings	Only these ratings; empty = all.
Sort by	Newest first or most relevant.
Max reviews in total	Stop the whole run after this many.

Output

Review example

{
  "reviewId": "rev-82a1659b-28e3-407b-b3e0-875cdd688d84",
  "rating": 4,
  "title": "Leider dieses Mal enttäuscht",
  "comment": "Ich habe meine Fenster nach und nach mit Plissees bestückt…",
  "createdAt": "2026-09-30T18:06:53.000Z",
  "orderDate": "2026-09-21T17:53:28.000Z",
  "verified": "MEMBER_VERIFIED",
  "reviewerName": "Carmen B.",
  "reviewerCity": "bad saa",
  "reviewerReviewCount": 13,
  "reply": null,
  "shopName": "Jalousiescout.de",
  "shopUrl": "www.jalousiescout.de",
  "shopId": "X77B11C1B8A5ABA16DDEC0C30E7996C21",
  "shopRating": 4.57,
  "shopReviewCount": 169605,
  "shopReviewCount12Months": 8278,
  "shopCertified": true,
  "shopCategories": ["Baumarkt", "Gartenbedarf", "Möbel & Dekorationsartikel"]
}

Output schema

Field	Type	Description
`reviewId`, `rating`, `title`, `comment`, `createdAt`, `orderDate`, `verified`, `images`	mixed	Review.
`reviewerName`, `reviewerCity`, `reviewerReviewCount`	mixed	Reviewer.
`reply`, `replyAt`	string	Shop reply.
`shopName`, `shopUrl`, `shopId`, `shopProfileUrl`	string	Shop.
`shopRating`, `shopReviewCount`, `shopReviewCount12Months`, `shopCertified`, `shopCategories`, `shopMarket`	mixed	Shop summary.
`scrapedAt`	string	Source info.

How much does it cost?

Trusted Shops Reviews Scraper uses pay-per-review pricing: a small fixed price per review, with automatic discounts on higher Apify plans. See the Pricing tab for the exact price.

More review data

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Proff Scraper: Nordic company data.

FAQ

How do I find a shop? Enter its domain (e.g. "zalando.de") or name. You can also paste the Trusted Shops profile link.

Can I get all reviews of a shop? Yes. Set Max reviews per shop to 0.

Why is the reviewer name empty for some reviews? Reviewers can choose to stay anonymous.

What formats can I export? CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

Can I integrate Trusted Shops Reviews Scraper with other apps? Trusted Shops Reviews Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is it legal to scrape Trusted Shops? The scraper only collects publicly visible reviews. You are responsible for using the data in line with Trusted Shops' terms and GDPR.

Notes

Original clean-room implementation. Returns only public data. Not affiliated with Trusted Shops.

Input

Field	Type	Description
`shops` Shops	array	Shop domains (e.g. zalando.de, jalousiescout.de), shop names, or Trusted Shops profile links (…/bewertung/info_X….html).
`maxReviewsPerShop` Max reviews per shop	integer	Stop after this many reviews per shop. 0 means all reviews. Default: `200`
`stars` Star ratings	array	Only reviews with these star ratings. Empty = all.
`sortBy` Sort by	string · date, relevance	Newest first or most relevant. Default: `"date"`
`maxItems` Max reviews in total	integer	Stop the whole run after this many reviews. 0 means no limit. Default: `0`
`proxyConfiguration` Proxy configuration	object	Not required for normal use. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~trustedshops-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "shops": [
    "jalousiescout.de"
  ],
  "maxReviewsPerShop": 50
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/trustedshops-scraper").call(run_input={
    "shops": [
        "jalousiescout.de"
    ],
    "maxReviewsPerShop": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/trustedshops-scraper').call({
  "shops": [
    "jalousiescout.de"
  ],
  "maxReviewsPerShop": 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Review One customer review scraped	$0.001	$0.0005

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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