# Das Telefonbuch Scraper (`dominic-quaiser/das-telefonbuch-scraper`) Actor Extract company information from Das Telefonbuch (das-telefonbuch.de). Scrape name, address, phone, fax, email, website, and additional information for each result. Supports search by keyword and location. - **URL**: https://apify.com/dominic-quaiser/das-telefonbuch-scraper.md - **Developed by:** [Dominic M. Quaiser](https://apify.com/dominic-quaiser) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.70 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### Das Telefonbuch Scraper A Apify Actor that scrapes business listings from [Das Telefonbuch](https://www.dastelefonbuch.de/), Germany's official telephone directory. Each result combines data from both the search results listing and the business detail page, giving you clean, structured contact information in a single pass. #### 💡 Features - **Targeted Search**: Specify the business type or service (`search_what`) and the German city (`search_where`). - **Detail Page Enrichment**: Every listing is enriched with data from its individual detail page — phone numbers are deobfuscated, Cloudflare-protected emails are decoded, and structured address fields are parsed automatically. - **Rate Limiting**: Configurable `requests_per_second` throttle to manage request load and reduce the risk of blocking. - **Proxy Support**: Leverages Apify's built-in proxy integration for reliable scraping. - **Structured Output**: Each record includes a structured `address` object (street, house number, postal code, city) and a `scraped_at` UTC timestamp. - **Automatic Result Capping**: On the first page, the actor reads the site's reported total result count and automatically caps the run to avoid over-fetching. #### 📥 Input Parameters | Field | Type | Description | Default | Required | | :--- | :--- | :--- | :--- | :--- | | `search_what` | String | The business type or service to search for (e.g., `"Autohaus"`, `"elektriker"`, `"heizung"`). | `"elektriker"` | Yes | | `search_where` | String | The German city to search in (e.g., `"Berlin"`, `"München"`, `"Hamburg"`). | `"nürnberg"` | Yes | | `max_businesses` | Integer | Maximum number of listings to save. Set `0` for unlimited (scrapes all available results, up to the site's cap of 500). | `0` | No | | `requests_per_second` | Integer | Max requests per second for both search pages and detail page fetches. Lower values (e.g., 2–5) are safer; higher values are faster. | `5` | No | | `proxyConfiguration` | Object | Apify proxy settings. Automatic Apify Proxy is recommended for reliability. | `"useApifyProxy": true` | No | > **Note:** Das Telefonbuch limits pagination to 500 results (50 pages × 10 entries per page). Results beyond that point are not accessible. ##### 🔹 Example Input ```json { "search_what": "Zahnarzt", "search_where": "München", "max_businesses": 100, "requests_per_second": 5, "proxyConfiguration": { "useApifyProxy": true } } ```` #### 📤 Output Data Structure Each record in the dataset is a JSON object with the following fields. Data from the detail page takes priority over data from the search listing when both sources provide the same field. ##### 🔹 Example Output ```json { "name": "Mustermann Elektriker GmbH", "address": { "street": "Musterstraße", "house_number": "12", "postal_code": "90402", "city": "Nürnberg" }, "phone": "0911 123456", "fax": "0911 123457", "email": "info@mustermann-elektriker.de", "website": "https://www.mustermann-elektriker.de", "information": { "business_profile": "Ihr Fachbetrieb für Elektroinstallationen aller Art.", "search_terms": "Elektriker, Elektroinstallation, Nürnberg" }, "scraped_at": "2025-05-01T10:30:00.123456+00:00" } ``` ##### 🔹 Field Reference | Field | Type | Description | | :--- | :--- | :--- | | `name` | String | Business name. | | `address.street` | String | Street name (without house number). | | `address.house_number` | String | House number. | | `address.postal_code` | String | Postal code (PLZ). | | `address.city` | String | City name. | | `phone` | String | Main phone number (deobfuscated). | | `fax` | String | Fax number (deobfuscated), if listed. | | `email` | String | Email address (decoded from Cloudflare protection), if listed. | | `website` | String | Business website URL, if listed. | | `information.business_profile` | String | "Unternehmensprofil" text from the detail page, if available. | | `information.search_terms` | String | "Suchbegriffe" (search keywords) listed on the detail page, if available. | | `scraped_at` | String | UTC timestamp of when the record was scraped (ISO 8601). | **Note:** Any field may be `null` or absent if not present on the page. #### ⚙️ Usage 1. Enter your search terms in the **Input** tab (`search_what` and `search_where`). 2. Choose a proxy mode. Automatic Apify Proxy is recommended for reliable access. 3. Click **Start**. 4. Access your results under **Storage** → **Dataset**. To get the best results, try your search terms on [dastelefonbuch.de](https://www.dastelefonbuch.de/) first to see which keywords return the most relevant listings. #### 🎯 Use Cases - Lead generation and contact harvesting for German businesses. - Market research and competitor analysis by city or trade. - Building local business directories. - Data enrichment pipelines on Apify. #### 🤝 Other Actors You can enhance your data processing pipelines by combining this actor with others: - **[Gelbe Seiten Scraper](https://apify.com/dominic-quaiser/gelbe-seiten-scraper)** — Scrape business listings from Germany's Yellow Pages with support for ratings, opening hours, social media links, and more. - **[German Imprint Scraper](https://apify.com/dominic-quaiser/german-imprint-scraper)** — Automatically find and extract contact information from German imprint pages ("Impressum"). #### 🔗 Integrations - **Scheduler**: Automate daily or weekly runs. - **Webhooks**: Trigger downstream workflows on completion. - **API**: Programmatic control via the Apify API. - **Composer**: Chain with other Actors (e.g., cleaning, enrichment). #### 🛠️ Maintainer - **Author**: Dominic M. Quaiser - **Contact**: - **Website**: [dominic-quaiser.io](https://dominic-quaiser.io/) # Actor input Schema ## `search_what` (type: `string`): Keyword to search for (e.g., 'Autohaus', 'elektriker', 'heizung'). ## `search_where` (type: `string`): German city to search in (e.g., 'Berlin', 'München', 'Hamburg'). ## `max_businesses` (type: `integer`): Maximum number of business listings to extract. Set to 0 for unlimited (will scrape all available results). ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "search_what": "elektriker", "search_where": "nürnberg", "max_businesses": 0, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("dominic-quaiser/das-telefonbuch-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 = { "proxyConfiguration": { "useApifyProxy": True } } # Run the Actor and wait for it to finish run = client.actor("dominic-quaiser/das-telefonbuch-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 '{ "proxyConfiguration": { "useApifyProxy": true } }' | apify call dominic-quaiser/das-telefonbuch-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dominic-quaiser/das-telefonbuch-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Das Telefonbuch Scraper", "description": "Extract company information from Das Telefonbuch (das-telefonbuch.de). Scrape name, address, phone, fax, email, website, and additional information for each result. Supports search by keyword and location.", "version": "0.0", "x-build-id": "HhOkFF3JyPtYtOccc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dominic-quaiser~das-telefonbuch-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dominic-quaiser-das-telefonbuch-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dominic-quaiser~das-telefonbuch-scraper/runs": { "post": { "operationId": "runs-sync-dominic-quaiser-das-telefonbuch-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dominic-quaiser~das-telefonbuch-scraper/run-sync": { "post": { "operationId": "run-sync-dominic-quaiser-das-telefonbuch-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "search_what", "search_where" ], "properties": { "search_what": { "title": "What to Search", "type": "string", "description": "Keyword to search for (e.g., 'Autohaus', 'elektriker', 'heizung').", "default": "elektriker" }, "search_where": { "title": "Where to Search", "type": "string", "description": "German city to search in (e.g., 'Berlin', 'München', 'Hamburg').", "default": "nürnberg" }, "max_businesses": { "title": "Maximum Number of Businesses", "type": "integer", "description": "Maximum number of business listings to extract. Set to 0 for unlimited (will scrape all available results).", "default": 0 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```