# Weworkremotely Scraper (`cryptosignals/weworkremotely-scraper`) Actor - **URL**: https://apify.com/cryptosignals/weworkremotely-scraper.md - **Developed by:** [Web Data Labs](https://apify.com/cryptosignals) (community) - **Categories:** Jobs - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 result scrapeds 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 ## We Work Remotely Scraper — 4.5M Visitor Remote Job Board ⭐ **Found this useful?** [Leave a review](https://apify.com/cryptosignals/weworkremotely-scraper#reviews) — helps other developers find this actor. --- Scrape job listings from [We Work Remotely](https://weworkremotely.com) — one of the world's largest curated remote job boards with 4.5M+ monthly visitors. Filter by category (programming, DevOps, design, marketing, etc.) and keywords. Returns structured job data with company, title, location, date, and apply URLs. **No authentication required.** Uses public RSS feeds. --- ### Why We Work Remotely? We Work Remotely (WWR) is the largest remote-work community in the world. Unlike general job boards, every listing is hand-curated and fully remote. Companies like GitHub, InVision, Automattic, and Toptal post here regularly. WWR is ideal for: - Remote job market analysis by category - Finding companies with remote-first culture - Tracking tech hiring trends in distributed teams - Building remote job alert systems - Salary and role benchmarking for remote positions --- ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `category` | string | `programming` | Job category: `all`, `programming`, `devops`, `design`, `product`, `marketing`, `sales`, `support`, `writing`, `finance`, `data` | | `keywords` | string | `""` | Keyword filter (comma-separated). Matches title, company, description. | | `maxItems` | integer | `25` | Max results (1–300) | #### Example Inputs **All remote programming jobs:** ```json {"category": "programming", "maxItems": 50} ```` **Senior DevOps roles:** ```json {"category": "devops", "keywords": "senior,kubernetes", "maxItems": 30} ``` **All categories:** ```json {"category": "all", "maxItems": 100} ``` *** ### Sample Output ```json { "title": "Senior Backend Engineer", "company": "Automattic", "location": "Worldwide", "category": "Programming", "postedDate": "2026-04-08", "jobUrl": "https://weworkremotely.com/remote-jobs/...", "applyUrl": "https://weworkremotely.com/remote-jobs/...", "description": "We're looking for a Senior Backend Engineer to...", "isRemote": true } ``` *** ### Pricing **Pay Per Event (PPE)** — pay only for what you scrape. | Event | Price | |-------|-------| | Per result scraped | **$0.003** | - 25 jobs → **$0.075** - 100 jobs → **$0.30** - No monthly fees. Failed runs = $0. *** ### Available Categories | Category value | What it includes | |----------------|-----------------| | `programming` | Software engineers, developers, architects | | `devops` | DevOps, SRE, sysadmin, infrastructure | | `design` | UX/UI designers, product designers | | `product` | Product managers, product owners | | `marketing` | Digital marketing, content, growth | | `sales` | Sales, business development, account management | | `support` | Customer support, success managers | | `writing` | Technical writers, content writers | | `finance` | Finance, accounting, legal roles | | `data` | Data science, analytics, ML engineering | | `all` | All categories combined | *** ### Code Example ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("cryptosignals/weworkremotely-scraper").call(run_input={ "category": "programming", "keywords": "python", "maxItems": 50, }) for job in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"{job['title']} at {job['company']} — {job['postedDate']}") ``` *** ### 🔗 See Also - **[RemoteOK Scraper](https://apify.com/cryptosignals/remoteok-scraper)** — Tag-based remote job search (100K+ listings) - **[LinkedIn Jobs Scraper](https://apify.com/cryptosignals/linkedin-jobs-scraper)** — LinkedIn public job listings with salary data - **[Indeed Jobs Scraper](https://apify.com/cryptosignals/indeed-jobs-scraper)** — Indeed.com across US, UK, Canada, Australia *** ### ⭐ Support This Actor If this saved you time, **[leave a quick review](https://apify.com/cryptosignals/weworkremotely-scraper#reviews)** — 30 seconds, huge help. *Built by [cryptosignals](https://apify.com/cryptosignals).* # Actor input Schema ## `category` (type: `string`): Category to search: all, programming, devops, design, product, marketing, sales, support, writing, finance, data ## `keywords` (type: `string`): Optional keyword filter. Comma-separated. Matches title, company, description. ## `maxItems` (type: `integer`): Maximum number of job listings to return (1-300). Each result costs $0.003. ## Actor input object example ```json { "category": "programming", "keywords": "", "maxItems": 25 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("cryptosignals/weworkremotely-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("cryptosignals/weworkremotely-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 cryptosignals/weworkremotely-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cryptosignals/weworkremotely-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Weworkremotely Scraper", "version": "0.1", "x-build-id": "iVC1qRz24itrIdau6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cryptosignals~weworkremotely-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cryptosignals-weworkremotely-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cryptosignals~weworkremotely-scraper/runs": { "post": { "operationId": "runs-sync-cryptosignals-weworkremotely-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cryptosignals~weworkremotely-scraper/run-sync": { "post": { "operationId": "run-sync-cryptosignals-weworkremotely-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "category": { "title": "Job Category", "type": "string", "description": "Category to search: all, programming, devops, design, product, marketing, sales, support, writing, finance, data", "default": "programming" }, "keywords": { "title": "Keywords Filter", "type": "string", "description": "Optional keyword filter. Comma-separated. Matches title, company, description.", "default": "" }, "maxItems": { "title": "Max Results", "minimum": 1, "maximum": 300, "type": "integer", "description": "Maximum number of job listings to return (1-300). Each result costs $0.003.", "default": 25 } } }, "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 } } } } } } } } } } ```