# Four-Day Week Jobs Scraper (`crawlerbros/four-day-week-jobs-scraper`) Actor Scrape remote and flexible 4-day-week job listings via the Remotive public API. Search by keyword, filter by category, and browse all available remote jobs with full metadata. - **URL**: https://apify.com/crawlerbros/four-day-week-jobs-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Jobs, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Four-Day Week Jobs Scraper Scrape remote job listings from the **Remotive public API** — a free, open API aggregating hundreds of quality remote jobs across software development, design, marketing, product, and more. Search by keyword, filter by category or job type, and export full job metadata instantly. ### What You Get Each scraped job record includes: | Field | Description | |---|---| | `id` | Unique job ID | | `title` | Job position title | | `company.name` | Employer name | | `company.logoUrl` | Company logo image URL | | `category` | Job category (Software Development, Design, Marketing, etc.) | | `tags` | Tech stack and skill keywords | | `jobType` | Employment type (Full-time, Part-time, Contract, Freelance) | | `location` | Geographic requirement (Worldwide, USA, Europe, etc.) | | `salary` | Compensation range if listed | | `postedAt` | ISO timestamp when job was posted | | `description` | Full job description (HTML stripped) | | `jobUrl` | Link to full job posting | | `applyUrl` | Application link | | `sourceUrl` | API source URL | | `recordType` | Always `"job"` | | `scrapedAt` | UTC timestamp of scrape | ### Input Options #### Mode (required) | Mode | Description | |---|---| | `browse` | Retrieve all available remote jobs (optionally filtered) | | `search` | Find jobs by keyword — searches title, description, and tags | #### Filters | Parameter | Type | Description | |---|---|---| | `query` | string | Keyword to search (e.g. `python`, `react`, `data scientist`) | | `category` | select | Filter by job category (Software Development, Design, Marketing, etc.) | | `jobType` | select | Filter by employment type (Full-time, Part-time, Contract, Freelance) | | `maxItems` | integer | Max records to return (1–10,000, default: 100) | ### Example Inputs **Browse all software development jobs:** ```json { "mode": "browse", "category": "software-dev", "maxItems": 50 } ```` **Search for Python jobs:** ```json { "mode": "search", "query": "python", "maxItems": 25 } ``` **Browse full-time design positions:** ```json { "mode": "browse", "category": "design", "jobType": "full_time", "maxItems": 30 } ``` ### Use Cases - **Job aggregation**: Build a curated remote job board or newsletter - **Market research**: Track which tech skills are most in-demand - **Recruitment analytics**: Monitor hiring trends by category and job type - **Candidate tools**: Power job alert systems or matching engines - **Salary benchmarking**: Collect compensation data across roles ### FAQ **What data source does this actor use?** This actor uses the [Remotive public API](https://remotive.com/api/remote-jobs) — a free, open endpoint that requires no authentication or API keys. **Does it require a proxy or credentials?** No. The Remotive API is fully open and works without any credentials, cookies, or proxy setup. **How current is the data?** Jobs are fetched live from the Remotive API at the time of each run. **Can I filter by multiple categories at once?** Currently one category filter is applied per run. Run multiple times with different categories and merge results. **What job types are available?** Full-time, Part-time, Contract, and Freelance positions are available. **Is there a result limit?** The `maxItems` parameter caps output at your chosen limit (up to 10,000). The Remotive API typically serves hundreds of fresh jobs at any time. # Actor input Schema ## `mode` (type: `string`): How to fetch jobs. Use 'search' to search by keyword or filter; use 'browse' to retrieve all available jobs. ## `query` (type: `string`): Text keyword to search job titles and descriptions (mode=search). Example: 'python', 'react', 'data scientist'. ## `category` (type: `string`): Filter jobs by category. ## `jobType` (type: `string`): Filter by employment type. ## `maxItems` (type: `integer`): Maximum number of job records to return. ## Actor input object example ```json { "mode": "browse", "category": "", "jobType": "", "maxItems": 5 } ``` # Actor output Schema ## `jobs` (type: `string`): Dataset containing all scraped remote job listings. # 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 = { "mode": "browse", "category": "", "jobType": "", "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/four-day-week-jobs-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 = { "mode": "browse", "category": "", "jobType": "", "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/four-day-week-jobs-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 '{ "mode": "browse", "category": "", "jobType": "", "maxItems": 5 }' | apify call crawlerbros/four-day-week-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/four-day-week-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Four-Day Week Jobs Scraper", "description": "Scrape remote and flexible 4-day-week job listings via the Remotive public API. Search by keyword, filter by category, and browse all available remote jobs with full metadata.", "version": "1.0", "x-build-id": "1xoS6txK9CN3ieX5e" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~four-day-week-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-four-day-week-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~four-day-week-jobs-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-four-day-week-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~four-day-week-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-four-day-week-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "browse" ], "type": "string", "description": "How to fetch jobs. Use 'search' to search by keyword or filter; use 'browse' to retrieve all available jobs.", "default": "browse" }, "query": { "title": "Search keyword", "type": "string", "description": "Text keyword to search job titles and descriptions (mode=search). Example: 'python', 'react', 'data scientist'." }, "category": { "title": "Category", "enum": [ "", "software-dev", "design", "marketing", "customer-support", "sales", "data", "product", "business", "finance", "hr", "qa", "devops", "writing", "all-others" ], "type": "string", "description": "Filter jobs by category.", "default": "" }, "jobType": { "title": "Job type", "enum": [ "", "full_time", "part_time", "contract", "freelance" ], "type": "string", "description": "Filter by employment type.", "default": "" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of job records to return.", "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 } } } } } } } } } } ```