# Arbeitnow Scraper (`conduit/arbeitnow-scraper`) Actor Extract job listings from Arbeitnow.com, a job board specializing in visa sponsorship, four-day work weeks, and remote opportunities. Get complete job metadata including company names, descriptions, locations, job types, and tags with automatic pagination support. - **URL**: https://apify.com/conduit/arbeitnow-scraper.md - **Developed by:** [Conduit](https://apify.com/conduit) (community) - **Categories:** Jobs, Automation, Lead generation - **Stats:** 27 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $0.30 / 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. 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 ## 📋 Arbeitnow Job Board Scraper Extract job listings from **Arbeitnow.com**, a job board specializing in visa sponsorship, four-day work weeks, and remote opportunities. Get complete job metadata including company names, descriptions, locations, job types, and tags with automatic pagination support. --- ### ✨ Why Use Arbeitnow Scraper? - **⚡ Fast & Efficient** - Direct API access delivers results in seconds - **🎯 Reliable Data** - Extracts complete job metadata from the official API - **📈 Scalable** - Scrape from 1 to 10,000 jobs with automatic pagination (100 per page) - **🌍 Global Opportunities** - Access jobs with visa sponsorship, remote work, and four-day work weeks - **📊 Clean Output** - Structured JSON data ready for analysis, job boards, or integration --- ### 📥 Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | **searchQuery** | String | ❌ No | `""` | Search term to find images (e.g., "software engineer", "product manager", "devops") | | **sort** | String | ❌ No | `relevance` | Sort order: `relevance` or `newest` | | **maxResults** | Integer | ❌ No | `100` | Maximum number of jobs to scrape (range: 1-10000) | | **proxyConfiguration** | Object | ❌ No | `{ useApifyProxy: true }` | Proxy settings to avoid rate limiting | > **Note:** Arbeitnow returns 100 results per page. The Actor automatically handles pagination to reach your desired maxResults. --- ### 📖 Usage Examples #### Example 1: Basic Search Search for "software engineer" and get 100 results: ```json { "searchQuery": "software engineer", "sort": "relevance", "maxResults": 100 } ```` #### Example 2: Popular Images Get the most popular devops jobs: ```json { "searchQuery": "devops", "sort": "relevance", "maxResults": 200 } ``` #### Example 3: Latest Uploads Find the newest product manager jobs: ```json { "searchQuery": "product manager", "sort": "newest", "maxResults": 150 } ``` #### Example 4: Specific Theme Collect images for a specific theme or project: ```json { "searchQuery": "golang developer", "sort": "relevance", "maxResults": 300 } ``` *** ### 📤 Output Data Each image result includes: | Field | Type | Description | |-------|------|-------------| | **slug** | String | Unique job identifier slug | | **company\_name** | String | Name of the hiring company | | **title** | String | Job title/position name | | **description** | String | Cleaned job description (HTML tags removed) | | **remote** | Boolean | Whether the job is remote | | **url** | String | Direct link to the job posting on Arbeitnow | | **tags** | Array | Job category tags (e.g., \["Information technology", "software development"]) | | **job\_types** | Array | Employment types (e.g., \["Full time", "Mid-senior"]) | | **location** | String | Job location (city, country) | | **created\_at** | Integer | Unix timestamp of when the job was posted | #### Sample Output ```json { "slug": "mulesoft-developer-ateeca-178727", "company_name": "ateeca", "title": "Mulesoft Developer", "description": "Key Requirement: Hands-on experience on Building interfaces on any ESB platform. Experience in Core Java, Messaging (JMS), Web API: SOAP, REST and authentication methods such as OAuth and SAML...", "remote": false, "url": "https://arbeitnow.com/view/mulesoft-developer-ateeca-178727", "tags": [ "Information technology and services", "information technology" ], "job_types": [ "Mid-senior", "contract" ], "location": "Leicester", "created_at": 1638006745 } ``` Data is delivered in clean JSON format, ready to download as **JSON**, **CSV**, **Excel**, or integrate via **API**. *** ### ❓ FAQ **Q: How many jobs can I scrape?**\ A: You can scrape between 1 and 10,000 jobs per run. For larger datasets, run the Actor multiple times with different search queries. **Q: Do I need proxies?**\ A: No, but using Apify Proxy is highly recommended to avoid rate limiting from Arbeitnow. **Q: Can I download the actual job description files?**\ A: The Actor provides direct URLs to the jobs. You can use these URLs to download the files separately or integrate with another Actor for downloading. **Q: Can I filter by company or category?**\ A: Currently, the Actor supports search queries and sorting. You can include company names in your search query (e.g., "software engineer at google"). *** # Actor input Schema ## `searchQuery` (type: `string`): Search term to find jobs (e.g., 'software engineer', 'product manager', 'devops') ## `sort` (type: `string`): Sort order: 'relevance' or 'newest' ## `maxResults` (type: `integer`): Maximum number of jobs to scrape (range: 1-10000). The API returns 100 jobs per page. ## Actor input object example ```json { "searchQuery": "", "sort": "relevance", "maxResults": 100 } ``` # Actor output Schema # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("conduit/arbeitnow-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 = {} # Run the Actor and wait for it to finish run = client.actor("conduit/arbeitnow-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 '{}' | apify call conduit/arbeitnow-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=conduit/arbeitnow-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Arbeitnow Scraper", "description": "Extract job listings from Arbeitnow.com, a job board specializing in visa sponsorship, four-day work weeks, and remote opportunities. Get complete job metadata including company names, descriptions, locations, job types, and tags with automatic pagination support.", "version": "0.0", "x-build-id": "mY5ZFMyVlMhZCMsHd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/conduit~arbeitnow-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-conduit-arbeitnow-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/conduit~arbeitnow-scraper/runs": { "post": { "operationId": "runs-sync-conduit-arbeitnow-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/conduit~arbeitnow-scraper/run-sync": { "post": { "operationId": "run-sync-conduit-arbeitnow-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", "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term to find jobs (e.g., 'software engineer', 'product manager', 'devops')", "default": "" }, "sort": { "title": "Sort", "enum": [ "relevance", "newest" ], "type": "string", "description": "Sort order: 'relevance' or 'newest'", "default": "relevance" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of jobs to scrape (range: 1-10000). The API returns 100 jobs per page.", "default": 100 } } }, "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 } } } } } } } } } } ```