# Remote Jobs Aggregator (Multi-Board) (`technicaldost/remote-jobs-aggregator`) Actor Aggregate remote job listings from Remotive, RemoteOK and WeWorkRemotely into one structured feed. Title, company, tags, salary, location and link. - **URL**: https://apify.com/technicaldost/remote-jobs-aggregator.md - **Developed by:** [Technical Dost Solutions](https://apify.com/technicaldost) (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 $5.00 / 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/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 (Multi-Board) Build one fresh remote-jobs feed from three popular public sources. This Apify Actor fetches Remotive, Remote OK, and We Work Remotely concurrently, normalizes every listing to the same shape, removes duplicate URLs, and saves up to your requested limit. No API key, paid proxy, or paid data source is required. A failed source is logged and skipped, so the other job boards can still produce results. ### Use cases - Power remote-job newsletters, alerts, and search experiences. - Monitor hiring demand across several boards at once. - Export a clean dataset for analysis, enrichment, or automation. - Replace three source-specific integrations with one stable schema. ### Input | Field | Type | Default | Description | | --- | --- | --- | --- | | `keyword` | string | `""` | Optional keyword. Empty returns all available jobs. Remote OK matches position and tags; We Work Remotely searches its listing text. | | `category` | string | `""` | Optional Remotive category slug, such as `software-dev`. The other feeds do not expose a compatible category filter. | | `maxJobs` | integer | `100` | Maximum unique jobs across all sources combined. Allowed range: 1–500. | Example input: ```json { "keyword": "developer", "category": "software-dev", "maxJobs": 100 } ```` Leave both search fields empty for a broad multi-board feed: ```json { "keyword": "", "category": "", "maxJobs": 100 } ``` ### Output Every dataset item has the same normalized fields: - `source` — `remotive`, `remoteok`, or `weworkremotely` - `title` — job title - `company` — hiring company - `category` — source category when available - `tags` — source-supplied skill or topic tags - `location` — candidate location or regional restriction - `salary` — source salary text, or `null` - `url` — original job-board URL - `publishedAt` — ISO 8601 timestamp, or `null` - `description` — plain text, truncated to 500 characters Example output: ```json { "source": "remotive", "title": "Senior Backend Developer", "company": "Example Labs", "category": "Software Development", "tags": ["node.js", "api", "postgresql"], "location": "Worldwide", "salary": "$120k–$150k", "url": "https://remotive.com/remote-jobs/software-development/example-job", "publishedAt": "2026-07-15T10:30:00.000Z", "description": "Example Labs is looking for a senior backend developer to build reliable APIs..." } ``` Results are selected round-robin across available sources, deduplicated by URL, and capped by `maxJobs`. The run log ends with a `SUMMARY` containing the total and per-source counts. ### Run locally Use Node.js 20 or newer. Save an input file at `storage/key_value_stores/default/INPUT.json`, then run: ```bash npm install node src/main.js ``` Results are written to `storage/datasets/default/`. ### Free public data sources - [Remotive public API](https://remotive.com/api/remote-jobs) - [Remote OK public API](https://remoteok.com/api) — output URLs link back to Remote OK as required by its API notice. - [We Work Remotely RSS](https://weworkremotely.com/remote-jobs.rss) The Actor uses native `fetch` with request timeouts and retry backoff. Review each source's current terms before redistributing or republishing its data. # Actor input Schema ## `keyword` (type: `string`): Search keyword. Leave empty to return jobs from all categories. ## `category` (type: `string`): Optional Remotive category slug, for example software-dev. Other boards do not expose a compatible category filter. ## `maxJobs` (type: `integer`): Maximum number of unique jobs to save across all sources combined. ## Actor input object example ```json { "keyword": "", "category": "", "maxJobs": 100 } ``` # 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 = { "keyword": "", "category": "" }; // Run the Actor and wait for it to finish const run = await client.actor("technicaldost/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 = { "keyword": "", "category": "", } # Run the Actor and wait for it to finish run = client.actor("technicaldost/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 '{ "keyword": "", "category": "" }' | apify call technicaldost/remote-jobs-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=technicaldost/remote-jobs-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remote Jobs Aggregator (Multi-Board)", "description": "Aggregate remote job listings from Remotive, RemoteOK and WeWorkRemotely into one structured feed. Title, company, tags, salary, location and link.", "version": "0.1", "x-build-id": "vnRIKRMdolHuT2XzK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/technicaldost~remote-jobs-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-technicaldost-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/technicaldost~remote-jobs-aggregator/runs": { "post": { "operationId": "runs-sync-technicaldost-remote-jobs-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/technicaldost~remote-jobs-aggregator/run-sync": { "post": { "operationId": "run-sync-technicaldost-remote-jobs-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Keyword", "type": "string", "description": "Search keyword. Leave empty to return jobs from all categories.", "default": "" }, "category": { "title": "Remotive category", "type": "string", "description": "Optional Remotive category slug, for example software-dev. Other boards do not expose a compatible category filter.", "default": "" }, "maxJobs": { "title": "Maximum jobs", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of unique jobs to save across all sources combined.", "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 } } } } } } } } } } ```