# Jameda Search Scraper (`thescrappa/jameda-search-scraper`) Actor Search Jameda doctor profiles by specialty, doctor name, and German location, including ratings, review counts, addresses, profile URLs, and images. - **URL**: https://apify.com/thescrappa/jameda-search-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Business, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Jameda Search Scraper Search Jameda doctor profiles by specialty, doctor name, symptom, medical service, and optional German location through Scrappa. Use it for doctor discovery, local healthcare lead research, review workflows, and profile enrichment pipelines. ### Features - Search Jameda by specialty, service, symptom, or doctor name - Optional German city/location targeting - Fetch one or more one-based search result pages per run - Extract doctor name, specialty, profile URL, rating, review count, address, and image URL - 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 | Doctor name, specialty, symptom, or medical service, for example `Zahnarzt` | | `loc` | string | No | German city or location, for example `Berlin` | | `page` | integer | No | First one-based result page, 1-500. Default `1` | | `per_page` | integer | No | Results to save per page, 1-28. Default `28` | | `max_pages` | integer | No | Number of pages to fetch, 1-10. Default `1` | ### Example Input ```json { "q": "Zahnarzt", "loc": "Berlin", "page": 1, "per_page": 28, "max_pages": 2 } ```` ### Output Each doctor profile is saved as one dataset item: ```json { "name": "Dr. med. Beispiel", "specialty": "Zahnarzt", "rating": "1,2", "review_count": "35 Bewertungen", "review_count_number": 35, "address": "Beispielstr. 1, 10115 Berlin", "profile_url": "https://www.jameda.de/beispiel/zahnarzt/berlin", "image_url": "https://www.jameda.de/example.jpg", "request_q": "Zahnarzt", "request_loc": "Berlin", "request_page": 1, "request_per_page": 28, "total_results": 120, "total_pages": 5 } ``` The `OUTPUT` record includes the request summary, pages fetched, doctor count, reported Jameda totals, and raw Scrappa responses for the fetched pages. Runs that fetch many pages can create a larger `OUTPUT` record because each raw Scrappa page response is retained there for debugging and auditability. ### Notes Jameda search returns public doctor profile summaries. For doctor details, reviews, higher-volume access, or direct API usage, use Scrappa at https://scrappa.co. # Actor input Schema ## `q` (type: `string`): Doctor name, specialty, symptom, or medical service to search on Jameda. ## `loc` (type: `string`): Optional German city or location. ## `page` (type: `integer`): One-based Jameda search results page. ## `per_page` (type: `integer`): Maximum doctor results to save per page. Jameda returns up to 28 results per page. ## `max_pages` (type: `integer`): Number of result pages to fetch, starting from Start Page. ## Actor input object example ```json { "q": "Zahnarzt", "loc": "Berlin", "page": 1, "per_page": 28, "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": "Zahnarzt", "loc": "Berlin" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/jameda-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": "Zahnarzt", "loc": "Berlin", } # Run the Actor and wait for it to finish run = client.actor("thescrappa/jameda-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": "Zahnarzt", "loc": "Berlin" }' | apify call thescrappa/jameda-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/jameda-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jameda Search Scraper", "description": "Search Jameda doctor profiles by specialty, doctor name, and German location, including ratings, review counts, addresses, profile URLs, and images.", "version": "1.0", "x-build-id": "UA2Pp5PJ4XTlWzjob" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~jameda-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-jameda-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~jameda-search-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-jameda-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~jameda-search-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-jameda-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": 255, "type": "string", "description": "Doctor name, specialty, symptom, or medical service to search on Jameda." }, "loc": { "title": "Location", "maxLength": 100, "type": "string", "description": "Optional German city or location." }, "page": { "title": "Start Page", "minimum": 1, "maximum": 500, "type": "integer", "description": "One-based Jameda search results page.", "default": 1 }, "per_page": { "title": "Results Per Page", "minimum": 1, "maximum": 28, "type": "integer", "description": "Maximum doctor results to save per page. Jameda returns up to 28 results per page.", "default": 28 }, "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 } } } } } } } } } } ```