# Job Postings Scraper — We Work Remotely (`popular_denim/job-postings-scraper`) Actor Scrape live remote job postings from We Work Remotely's public RSS feeds. Extracts structured metadata — company, position, category, region, link, and publish date — for every listing. No login required. - **URL**: https://apify.com/popular\_denim/job-postings-scraper.md - **Developed by:** [Steve Flores](https://apify.com/popular_denim) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 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 ## Job Postings Scraper Extract structured job posting data from remote work job boards and career sites. Get job titles, companies, positions, employment types, locations, required skills, logos, posting dates, and expiration dates in clean JSON format. Perfect for job aggregation platforms, recruitment analytics, market research, and career intelligence applications. ### Input | Field | Type | Description | |---|---|---| | `startUrls` | array | URLs to start crawling from | | `maxResults` | integer | Maximum number of result items returned (and charged for) | | `proxyConfiguration` | object | Apify Proxy settings | | Parameter | Example | |-----------|----------| | Job board URL | https://www.weworkremotely.com/remote-jobs | | Location filter | Anywhere in the World, Virginia | | Job type filter | Full-Time, Part-Time, Contract | | Search keywords | Executive Director, remote roles | ### Output example ```json { "title": "Motivational Interviewing Network of Trainers, Incorporated: Executive Director", "company": "Motivational Interviewing Network of Trainers, Incorporated", "position": "Executive Director", "category": "All Other Remote", "jobType": "Full-Time", "region": "Anywhere in the World", "country": null, "state": "Virginia", "skills": [ "Project Management", "Strategic Thinking", "Executive", "Admin", "Event Planning", "Performance Monitoring", "CRM Systems", "Email Campaigns", "Budget Management", "Process Improvement", "Relationship Building", "Communication Skills", "Budgeting", "Data-Driven Decision Making", "Relationship Building", "and Motivational Interviewing" ], "logo": "https://wwr-pro.s3.amazonaws.com/logos/0171/5682/logo.gif", "url": "https://weworkremotely.com/remote-jobs/motivational-interviewing-network-of-trainers-incorporated-executive-director", "publishedAt": "Thu, 02 Jul 2026 15:22:14 +0000", "expiresAt": "Sat, 01 Aug 2026 15:22:14 +0000", "source": "weworkremotely.com" } ```` ### Pricing Pay-per-event: **$1000.00 per 1,000 result items**. Typically $0.002–$0.01 per job posting extracted depending on volume and data depth required. A typical run of N results costs approximately N × $1.0000. ### FAQ **Q: What job board sources are supported?** A: Primarily We Work Remotely and similar remote job boards; custom URLs can be adapted based on site structure. **Q: Does it extract salary information?** A: The standard output includes job metadata, skills, and posting dates; salary data is extracted when available on the source page. **Q: How often is posting data updated?** A: Data is fresh on each run; you can schedule runs daily or weekly to monitor new postings and expirations. # Actor input Schema ## `startUrls` (type: `array`): URLs to start crawling from ## `maxResults` (type: `integer`): Maximum number of result items to return. The run stops once this many result-item charges have been made. ## `proxyConfiguration` (type: `object`): Proxy settings for the crawler ## Actor input object example ```json { "startUrls": [ { "url": "https://weworkremotely.com/remote-jobs.rss" } ], "maxResults": 100, "proxyConfiguration": { "useApifyProxy": true } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://weworkremotely.com/remote-jobs.rss" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("popular_denim/job-postings-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "startUrls": [{ "url": "https://weworkremotely.com/remote-jobs.rss" }] } # Run the Actor and wait for it to finish run = client.actor("popular_denim/job-postings-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 '{ "startUrls": [ { "url": "https://weworkremotely.com/remote-jobs.rss" } ] }' | apify call popular_denim/job-postings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=popular_denim/job-postings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Job Postings Scraper — We Work Remotely", "description": "Scrape live remote job postings from We Work Remotely's public RSS feeds. Extracts structured metadata — company, position, category, region, link, and publish date — for every listing. No login required.", "version": "1.0", "x-build-id": "7kCtWi86ctmGT8fNn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/popular_denim~job-postings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-popular_denim-job-postings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/popular_denim~job-postings-scraper/runs": { "post": { "operationId": "runs-sync-popular_denim-job-postings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/popular_denim~job-postings-scraper/run-sync": { "post": { "operationId": "run-sync-popular_denim-job-postings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start crawling from", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Maximum number of result items to return. The run stops once this many result-item charges have been made.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for the crawler", "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 } } } } } } } } } } ```