# Remote Jobs Aggregator — RemoteOK, WeWorkRemotely & Remotive (`nivlekk/remote-jobs-aggregator`) Actor Scrape remote job listings from RemoteOK, WeWorkRemotely and Remotive in one run. Search by keyword and category, get clean structured JSON. - **URL**: https://apify.com/nivlekk/remote-jobs-aggregator.md - **Developed by:** [Kelvin Yayra Kwaku Ganyo](https://apify.com/nivlekk) (community) - **Categories:** Jobs, Lead generation, SEO tools - **Stats:** 3 total users, 2 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 — 7 Boards in One Run Pull remote job listings from **seven major remote-work boards in a single run** — RemoteOK, WeWorkRemotely, Remotive, Arbeitnow, Jobicy, Himalayas, and Working Nomads — normalized into one clean schema. Search by keyword, get structured JSON. No login, no proxy needed. Fast and cheap. ### Why this scraper - **Seven boards, one schema** — stop running seven different scrapers and stitching the output together. - **One keyword, everywhere** — search title, company, tags, and description across all sources at once. - **Precise filters** — narrow by job type, location/region, salary, and how recently a job was posted. - **Cross-board dedup** — the same role often appears on several boards; get one record listing every board it was found on (`foundOnSources`). - **Clean, consistent fields** — title, company, category, tags, location, salary, posted date, apply URL, and full description. - **Cheap and fast** — these are open feeds, so runs are lightweight with no browser overhead. ### Use cases - **Build or fill a remote job board** with fresh listings from multiple sources. - **Job-market research** — track remote hiring, in-demand skills, and categories. - **Alerts & dashboards** — feed new remote roles into Slack, a sheet, or your own app via the API. - **Recruiting** — monitor where companies post remote roles. ### Input | Field | Type | Description | |---|---|---| | `search` | string | Keyword filter across title/company/tags/description | | `sources` | array | Pick any of the 7 boards (default: all) | | `jobType` | string | Keep jobs whose type contains this (untagged jobs kept) | | `location` | string | Keep jobs whose location contains this (e.g. `USA`, `Europe`) | | `postedWithinDays` | integer | Only jobs posted within N days | | `minSalary` | integer | Only jobs advertising at least this salary | | `dedupe` | boolean | Merge the same job across boards (default `true`) | | `sortByNewest` | boolean | Newest first (default `true`) | | `maxItems` | integer | Cap the final combined count | | `maxItemsPerSource` | integer | Cap per board before combining (default `100`) | | `proxyConfiguration` | object | Optional — only needed if you hit rate limits | ```json { "search": "react", "sources": ["remoteok", "weworkremotely", "remotive"], "maxItemsPerSource": 200 } ```` ### Output One dataset item per job: ```json { "source": "remoteok", "id": "1135294", "title": "Senior React Engineer", "company": "Acme", "companyLogo": "https://…", "category": "Full-Stack Programming", "tags": ["react", "typescript", "remote"], "jobType": "Full-Time", "location": "Anywhere in the World", "salaryMin": 90000, "salaryMax": 130000, "salaryText": "90000-130000", "url": "https://…", "applyUrl": "https://…", "publishedDate": "2026-07-23T07:31:34+00:00", "descriptionText": "…", "scrapedAt": "2026-07-24T00:00:00.000Z" } ``` ### Notes - Only publicly available listings are collected. - Fields present vary by source (e.g. RemoteOK provides salary ranges; WeWorkRemotely provides categories). # Actor input Schema ## `search` (type: `string`): Filter jobs by keyword across title, company, tags and description (e.g. "react", "designer"). Leave empty for all jobs. ## `sources` (type: `array`): Which remote job boards to scrape. ## `jobType` (type: `string`): Keep jobs whose type contains this text (e.g. "full", "contract", "part"). Jobs from boards that don't tag a type are kept. Leave empty for all. ## `location` (type: `string`): Keep jobs whose location contains this text (e.g. "USA", "Europe", "worldwide"). Jobs with no listed location are kept. Leave empty for all. ## `postedWithinDays` (type: `integer`): Keep only jobs posted within this many days. Leave empty for all. ## `minSalary` (type: `integer`): Keep only jobs advertising at least this salary (excludes jobs with no salary listed). Leave empty to ignore salary. ## `dedupe` (type: `boolean`): The same job is often posted to several boards. Merge them into one record listing every board it was found on. ## `sortByNewest` (type: `boolean`): Order the combined results by publish date, newest first. ## `maxItems` (type: `integer`): Cap the final combined result count (after filtering and dedup). Leave empty for no overall cap. ## `maxItemsPerSource` (type: `integer`): Cap how many jobs are pulled from each board before combining. ## `proxyConfiguration` (type: `object`): These sources are open, so a proxy is usually not needed. Enable one only if you hit rate limits. ## Actor input object example ```json { "search": "react", "sources": [ "remoteok", "weworkremotely", "remotive", "arbeitnow", "jobicy", "himalayas", "workingnomads" ], "dedupe": true, "sortByNewest": true, "maxItemsPerSource": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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("nivlekk/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 = {} # Run the Actor and wait for it to finish run = client.actor("nivlekk/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 '{}' | apify call nivlekk/remote-jobs-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nivlekk/remote-jobs-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remote Jobs Aggregator — RemoteOK, WeWorkRemotely & Remotive", "description": "Scrape remote job listings from RemoteOK, WeWorkRemotely and Remotive in one run. Search by keyword and category, get clean structured JSON.", "version": "0.1", "x-build-id": "Hfozc60dOaFN3emVE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nivlekk~remote-jobs-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nivlekk-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nivlekk~remote-jobs-aggregator/runs": { "post": { "operationId": "runs-sync-nivlekk-remote-jobs-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nivlekk~remote-jobs-aggregator/run-sync": { "post": { "operationId": "run-sync-nivlekk-remote-jobs-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "search": { "title": "Search keyword", "type": "string", "description": "Filter jobs by keyword across title, company, tags and description (e.g. \"react\", \"designer\"). Leave empty for all jobs." }, "sources": { "title": "Sources", "type": "array", "description": "Which remote job boards to scrape.", "items": { "type": "string", "enum": [ "remoteok", "weworkremotely", "remotive", "arbeitnow", "jobicy", "himalayas", "workingnomads" ], "enumTitles": [ "RemoteOK", "WeWorkRemotely", "Remotive", "Arbeitnow", "Jobicy", "Himalayas", "Working Nomads" ] }, "default": [ "remoteok", "weworkremotely", "remotive", "arbeitnow", "jobicy", "himalayas", "workingnomads" ] }, "jobType": { "title": "Job type", "type": "string", "description": "Keep jobs whose type contains this text (e.g. \"full\", \"contract\", \"part\"). Jobs from boards that don't tag a type are kept. Leave empty for all." }, "location": { "title": "Location / region", "type": "string", "description": "Keep jobs whose location contains this text (e.g. \"USA\", \"Europe\", \"worldwide\"). Jobs with no listed location are kept. Leave empty for all." }, "postedWithinDays": { "title": "Posted within (days)", "minimum": 1, "maximum": 365, "type": "integer", "description": "Keep only jobs posted within this many days. Leave empty for all." }, "minSalary": { "title": "Minimum salary", "minimum": 0, "type": "integer", "description": "Keep only jobs advertising at least this salary (excludes jobs with no salary listed). Leave empty to ignore salary." }, "dedupe": { "title": "Merge duplicates across boards", "type": "boolean", "description": "The same job is often posted to several boards. Merge them into one record listing every board it was found on.", "default": true }, "sortByNewest": { "title": "Sort by newest first", "type": "boolean", "description": "Order the combined results by publish date, newest first.", "default": true }, "maxItems": { "title": "Max total jobs", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Cap the final combined result count (after filtering and dedup). Leave empty for no overall cap." }, "maxItemsPerSource": { "title": "Max jobs per source", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Cap how many jobs are pulled from each board before combining.", "default": 100 }, "proxyConfiguration": { "title": "Proxy (optional)", "type": "object", "description": "These sources are open, so a proxy is usually not needed. Enable one only if you hit rate limits.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```