# Remote Jobs Aggregator API (`delightful_unicorn/remote-jobs-aggregator`) Actor Aggregate remote job listings from RemoteOK, We Work Remotely, and Working Nomads into a single unified API. No scraping, no proxy, instant results. - **URL**: https://apify.com/delightful\_unicorn/remote-jobs-aggregator.md - **Developed by:** [Alessandro Amato](https://apify.com/delightful_unicorn) (community) - **Categories:** Developer tools, Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## Remote Jobs Aggregator API **Aggregate remote job listings from RemoteOK, Remotive, and We Work Remotely — no scraping, no proxy, instant results.** A unified API for remote work opportunities. Fetches from 3 major remote job boards simultaneously, normalizes the data, and delivers clean, searchable results. ### Features - 🌍 **Multi-Source** — RemoteOK API + Remotive API + We Work Remotely RSS - 🔍 **Keyword Search** — Search by job title, company, or tag across all sources - 🏷️ **Tag Filtering** — Filter by tags like `python`, `react`, `full-time` - 📅 **Latest Jobs** — Get the newest postings from all boards - 🔗 **Direct URLs** — Link to original job postings for application ### Actions | Action | Input | Description | |--------|-------|-------------| | `getLatest` | `maxResults` | Latest N jobs from all sources | | `searchJobs` | `query`, `tags`, `maxResults` | Search across all boards | | `getBySource` | `source`, `maxResults` | Jobs from a specific board | ### Example Input ```json { "action": "searchJobs", "query": "python", "tags": "remote,full-time", "maxResults": 10 } ```` ### Example Output ```json { "success": true, "action": "searchJobs", "timestamp": "2026-05-01T12:00:00Z", "data": { "found": true, "query": "python", "tags": ["remote", "full-time"], "count": 11, "jobs": [ { "id": "remoteok:1131414", "title": "Digital Full Stack Engineer", "company": "Smart Working Solutions", "location": "Remote", "url": "https://remoteOK.com/remote-jobs/...", "tags": ["react", "frontend", "backend"], "postedAt": "2026-05-01T08:00:03.000Z", "source": "remoteok" } ] } } ``` ### Pricing - **Pay Per Event** - `apify-actor-start`: $0.0005 - `result`: $0.0005 - **~$1.00 per 1,000 requests** ### Data Sources - [RemoteOK API](https://remoteok.com/api) — JSON API, no auth - [Remotive API](https://remotive.com/api/remote-jobs) — JSON API, no auth - [We Work Remotely RSS](https://weworkremotely.com/remote-jobs.rss) — RSS feed, no auth ### Notes - Pure HTTP API calls — no browser automation. - Near-zero CU cost per run. - Results are deduplicated and sorted by recency. # Actor input Schema ## `action` (type: `string`): The API endpoint to call. ## `query` (type: `string`): Keyword to search across job titles, companies, and descriptions (e.g., python, designer, marketing). ## `source` (type: `string`): Filter by a specific job board source. Used with getBySource action. ## `maxResults` (type: `integer`): Maximum number of jobs to return (1-200). ## `tags` (type: `string`): Filter by tags like python,remote,full-time. Only used with searchJobs and getLatest. ## Actor input object example ```json { "action": "getLatest", "query": "python", "maxResults": 50, "tags": "python,remote" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": "python", "tags": "python,remote" }; // Run the Actor and wait for it to finish const run = await client.actor("delightful_unicorn/remote-jobs-aggregator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "query": "python", "tags": "python,remote", } # Run the Actor and wait for it to finish run = client.actor("delightful_unicorn/remote-jobs-aggregator").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 '{ "query": "python", "tags": "python,remote" }' | apify call delightful_unicorn/remote-jobs-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delightful_unicorn/remote-jobs-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remote Jobs Aggregator API", "description": "Aggregate remote job listings from RemoteOK, We Work Remotely, and Working Nomads into a single unified API. No scraping, no proxy, instant results.", "version": "1.0", "x-build-id": "DaIlvCQtD7OdfzmRW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delightful_unicorn~remote-jobs-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delightful_unicorn-remote-jobs-aggregator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delightful_unicorn~remote-jobs-aggregator/runs": { "post": { "operationId": "runs-sync-delightful_unicorn-remote-jobs-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delightful_unicorn~remote-jobs-aggregator/run-sync": { "post": { "operationId": "run-sync-delightful_unicorn-remote-jobs-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "action" ], "properties": { "action": { "title": "Action", "enum": [ "searchJobs", "getLatest", "getBySource" ], "type": "string", "description": "The API endpoint to call.", "default": "getLatest" }, "query": { "title": "Search Query", "type": "string", "description": "Keyword to search across job titles, companies, and descriptions (e.g., python, designer, marketing)." }, "source": { "title": "Source", "enum": [ "remoteok", "weworkremotely", "workingnomads" ], "type": "string", "description": "Filter by a specific job board source. Used with getBySource action." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of jobs to return (1-200).", "default": 50 }, "tags": { "title": "Tags (comma-separated)", "type": "string", "description": "Filter by tags like python,remote,full-time. Only used with searchJobs and getLatest." } } }, "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 } } } } } } } } } } ```