# Trusted Shops Search Scraper (`thescrappa/trustedshops-search-scraper`) Actor Search Trusted Shops shop profiles by keyword and market. Extract TSIDs, ratings, review counts, certification status, categories, shop URLs, and profile URLs. - **URL**: https://apify.com/thescrappa/trustedshops-search-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Marketing, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $0.20 / 1,000 shop results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Trusted Shops Search Scraper Search Trusted Shops shop profiles by keyword and market through Scrappa. Use it to find reviewed e-commerce stores, monitor competitors, build trust-score datasets, or collect TSIDs for later shop profile and review enrichment. ### Features - Search Trusted Shops by brand, shop, or domain query - Filter by Trusted Shops market: Germany, UK, Austria, Switzerland, Netherlands, Spain, Italy, France, Belgium, Poland, or Portugal - Fetch one or more zero-based search result pages per run - Extract shop TSID, account name, shop URL, profile URL, rating, review count, certification status, categories, logo, and description - Dataset rows optimized for Apify table views - Full Scrappa page responses saved to the `OUTPUT` key-value-store record ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `q` | string | Yes | Shop, brand, or domain query, for example `zalando` | | `market` | string | No | Trusted Shops market code. Default `DEU` | | `page` | integer | No | First zero-based result page, 0-100. Default `0` | | `max_pages` | integer | No | Number of pages to fetch, 1-10. Default `1` | ### Example Input ```json { "q": "zalando", "market": "DEU", "page": 0, "max_pages": 2 } ```` ### Output Each shop profile is saved as one dataset item: ```json { "accountName": "Example Shop GmbH", "shopName": "example-shop.de", "tsID": "XFB15FFBDE1DEE7A55D292A7D48598A6A", "averageRating": 4.8, "reviewCount": 173960, "certificationState": true, "profile_url": "https://www.trustedshops.de/bewertung/info_XFB15FFBDE1DEE7A55D292A7D48598A6A.html", "shop_url": "https://www.example-shop.de", "category_names": "Fashion, Shoes", "request_q": "zalando", "request_market": "DEU", "request_page": 0 } ``` The `OUTPUT` record includes the request summary, pages fetched, shop count, reported Trusted Shops totals, and raw Scrappa responses for the fetched pages. ### Notes Trusted Shops search returns public shop profile summaries. For shop details, review feeds, higher-volume access, or direct API usage, use Scrappa at https://scrappa.co. # Actor input Schema ## `q` (type: `string`): Shop, brand, or domain query to search on Trusted Shops. ## `market` (type: `string`): Trusted Shops target market. ## `page` (type: `integer`): Zero-based Trusted Shops search results page. ## `max_pages` (type: `integer`): Number of result pages to fetch, starting from Start Page. ## Actor input object example ```json { "q": "zalando", "market": "DEU", "page": 0, "max_pages": 1 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "q": "zalando" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/trustedshops-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "q": "zalando" } # Run the Actor and wait for it to finish run = client.actor("thescrappa/trustedshops-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "q": "zalando" }' | apify call thescrappa/trustedshops-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/trustedshops-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trusted Shops Search Scraper", "description": "Search Trusted Shops shop profiles by keyword and market. Extract TSIDs, ratings, review counts, certification status, categories, shop URLs, and profile URLs.", "version": "1.0", "x-build-id": "oly5YzqRyQPc4a3Uy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~trustedshops-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-trustedshops-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thescrappa~trustedshops-search-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-trustedshops-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thescrappa~trustedshops-search-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-trustedshops-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "q" ], "properties": { "q": { "title": "Search Query", "minLength": 2, "maxLength": 200, "type": "string", "description": "Shop, brand, or domain query to search on Trusted Shops." }, "market": { "title": "Market", "enum": [ "DEU", "GBR", "AUT", "CHE", "NLD", "ESP", "ITA", "FRA", "BEL", "POL", "PRT" ], "type": "string", "description": "Trusted Shops target market.", "default": "DEU" }, "page": { "title": "Start Page", "minimum": 0, "maximum": 100, "type": "integer", "description": "Zero-based Trusted Shops search results page.", "default": 0 }, "max_pages": { "title": "Maximum Pages", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of result pages to fetch, starting from Start Page.", "default": 1 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```