# Remote Jobs Scraper — RemoteOK Remotive WWR (`nomad-agent/remote-boards-scraper`) Actor One scraper, three remote job boards: RemoteOK, Remotive and WeWorkRemotely. Get fresh remote-only openings as clean JSON — title, company, category, salary and apply URL — deduplicated across boards. Perfect for remote job boards, alert bots and hiring research. - **URL**: https://apify.com/nomad-agent/remote-boards-scraper.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-agent) (community) - **Categories:** Jobs - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Scraper — RemoteOK Remotive WWR Fetch live remote-only job listings from RemoteOK, Remotive and WeWorkRemotely in a single run, merged into one clean dataset. ### What remote jobs data does this scraper extract? Each result is one flat JSON record per job posting: | Field | Meaning | |---|---| | `source` | Board the listing came from — `remoteok`, `remotive` or `weworkremotely` | | `id` | Stable source-side identifier | | `title` | Job title as posted | | `company` | Hiring company / organisation | | `location` | Location / duty station (may include remote hints) | | `url` | Direct link to the posting | | `postedAt` | Posting date where the source provides it; `null` when absent | | `salary` | Salary text where the source provides it; `null` when absent (WeWorkRemotely feeds never include salary) | | `snippet` | Short description excerpt | | `tags` | Source-provided tags/skills list (may be empty) | | `category` | Job category — Remotive only; not present for other sources | ### How to scrape remote jobs with this Actor 1. Click **Try for free** / **Run** — no login to the target site, no cookies, no proxies to configure. 2. Adjust the input (`keyword`, `titleExclude`, `postedSince`, board toggles, `maxItems`) or keep the defaults. 3. Run it and export the dataset as JSON, CSV or Excel, or read it over the [API](https://docs.apify.com/api/v2). Run it from your own code: ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("nomad-agent/remote-boards-scraper").call(run_input={"maxItems": 50}) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["title"], "—", item["company"], item["url"]) ```` Or a single HTTP call that runs the Actor and returns items in one response: ```bash curl -X POST \ "https://api.apify.com/v2/acts/nomad-agent~remote-boards-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"maxItems": 50}' ``` ### Input | Field | Type | Default | Notes | |---|---|---|---| | `keyword` | string | `""` | Optional case-insensitive substring matched against job title and company name. Leave empty to return all listings. | | `titleExclude` | array | `[]` | Skip listings whose title or company contains any of these case-insensitive terms. Exclusion twin of `keyword` above. | | `postedSince` | integer | `0` | Only return listings posted within this many days (max `365`). Applied client-side after fetch — see note below. Set `0` to disable and return all fetched listings regardless of age. | | `enableRemoteOK` | boolean | `true` | Scrape listings from RemoteOK. | | `enableRemotive` | boolean | `true` | Scrape listings from Remotive. | | `enableWeWorkRemotely` | boolean | `true` | Scrape tech/programming listings from WeWorkRemotely (Full-Stack, Back-End, Front-End, DevOps/SysAdmin). | | `maxItemsPerSource` | integer | `50` | Maximum number of listings to return from each enabled board (max `500`). Each item returned is a billed dataset result. Set `0` for no limit (not recommended). | | `maxItems` | integer | `150` | Hard cap on the total number of listings returned across all boards (max `1000`). Each item returned is a billed dataset result. Set `0` for no limit (not recommended). | | `cacheTtlSeconds` | integer | `1800` | *Advanced.* Reuse a fetch from this many seconds ago instead of hitting the source board again on rapid re-runs. Set `0` to always fetch live. | > **Billing note:** `maxItemsPerSource` and `maxItems` used to default to `0` (unlimited) — a single run merges three full remote-job-board feeds, so an unbounded run could bill for every listing on all three boards. They now default to `50` per source / `150` total. If you're an existing caller who relied on the old unlimited behavior, pass these explicitly (up to the new maximums of `500` / `1000`) — nothing changed for callers who already set them. > > `postedSince` is a client-side filter: none of the three source feeds accept a server-side date parameter, so the actor fetches the live feed and then drops listings older than N days by parsing each source's own `postedAt` format (RemoteOK/Remotive: ISO 8601; WeWorkRemotely: RSS `published` date). A listing with a date the actor can't parse is kept rather than silently dropped. ### Output example ```json { "source": "remotive", "id": "1934582", "title": "Backend Engineer (Go)", "company": "Chili Piper", "location": "Worldwide", "url": "https://remotive.com/remote-jobs/software-dev/backend-engineer-1934582", "postedAt": "2026-06-29T07:00:00", "snippet": "Fully remote backend role...", "salary": "$90k–$120k", "category": "Software Development", "tags": ["go", "backend"] } ``` ### Integrations Export the dataset as JSON, CSV or Excel from the Console, pull it over the [Apify API](https://docs.apify.com/api/v2) (including `run-sync-get-dataset-items` for a single blocking call), wire it into Make/Zapier/n8n, or drive it from an AI agent via the [Apify MCP server](https://apify.com/apify/actors-mcp-server). ### Pricing Pay per event: **$0.05 per Actor start** and **$0.004 per job returned**. 100 jobs ≈ $0.45. No subscription, no rental — you pay only for what you fetch. Raising `maxItemsPerSource` / `maxItems` directly raises how many billed results a run can produce. ### Use cases - Remote-job boards and newsletters - Job-alert bots for remote-first candidates - Remote-hiring market research - Feeding AI matching agents with remote-only supply ### FAQ **Is it legal to scrape remote jobs?** This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case. **Do I need an account on the target site?** No. Postings are fetched from public pages/APIs — no login, cookies or session tokens. **How fresh is the data?** Every run fetches live listings. Results are cached for `cacheTtlSeconds` (default 30 min, set 0 to always hit the source live). Use `postedSince` to additionally filter out listings older than N days. **How many jobs can I get?** `maxItemsPerSource` (default 50, max 500) and `maxItems` (default 150, max 1000) cap the run. Set either to 0 for no limit — not recommended, since every returned item is a billed dataset result and this Actor merges three full remote-job-board feeds. **Something broken or missing?** Open an issue on the Actor's **Issues** tab — it is monitored and reliability fixes ship fast. ### Related Actors - [Web Developer Jobs Scraper — 10 Boards in One](https://apify.com/nomad-agent/web-dev-bundle) - [AI & ML Engineer Jobs Scraper — 8 Boards in One](https://apify.com/nomad-agent/ml-ai-dev-bundle) - [LinkedIn Jobs Scraper — No Login, No Cookies](https://apify.com/nomad-agent/linkedin-scraper) - [Hacker News Who Is Hiring Scraper — HN Jobs](https://apify.com/nomad-agent/hackernews-scraper) # Actor input Schema ## `keyword` (type: `string`): Optional case-insensitive substring matched against job title and company name. Leave empty to return all listings. ## `titleExclude` (type: `array`): Skip listings whose title or company contains any of these case-insensitive terms. Exclusion twin of the keyword filter above. ## `postedSince` (type: `integer`): Only return listings posted within this many days. Applied client-side after fetching, since none of the 3 source boards support a server-side date filter — postedAt is parsed per source and compared here. Set 0 (default) to disable and return all fetched listings regardless of age. ## `enableRemoteOK` (type: `boolean`): Scrape listings from RemoteOK. ## `enableRemotive` (type: `boolean`): Scrape listings from Remotive. ## `enableWeWorkRemotely` (type: `boolean`): Scrape tech/programming listings from WeWorkRemotely (Full-Stack, Back-End, Front-End, DevOps/SysAdmin). ## `maxItemsPerSource` (type: `integer`): Maximum number of listings to return from each enabled board. Each item returned is a billed dataset result — raising this increases cost. Set 0 for no limit (not recommended; the 3 source boards can each return hundreds of live listings per run). ## `maxItems` (type: `integer`): Hard cap on the total number of listings returned across all boards. Each item returned is a billed dataset result — raising this increases cost. Set 0 for no limit (not recommended). ## `cacheTtlSeconds` (type: `integer`): Reuse a fetch from this many seconds ago instead of hitting the source board again on rapid re-runs. Set 0 to always fetch live. ## Actor input object example ```json { "keyword": "python", "titleExclude": [ "intern", "unpaid" ], "postedSince": 0, "enableRemoteOK": true, "enableRemotive": true, "enableWeWorkRemotely": true, "maxItemsPerSource": 50, "maxItems": 150, "cacheTtlSeconds": 1800 } ``` # 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("nomad-agent/remote-boards-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("nomad-agent/remote-boards-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 nomad-agent/remote-boards-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-agent/remote-boards-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remote Jobs Scraper — RemoteOK Remotive WWR", "description": "One scraper, three remote job boards: RemoteOK, Remotive and WeWorkRemotely. Get fresh remote-only openings as clean JSON — title, company, category, salary and apply URL — deduplicated across boards. Perfect for remote job boards, alert bots and hiring research.", "version": "0.1", "x-build-id": "rh8xFkLk74ICg0NeV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~remote-boards-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-remote-boards-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-agent~remote-boards-scraper/runs": { "post": { "operationId": "runs-sync-nomad-agent-remote-boards-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-agent~remote-boards-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-agent-remote-boards-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Keyword filter", "type": "string", "description": "Optional case-insensitive substring matched against job title and company name. Leave empty to return all listings." }, "titleExclude": { "title": "Title must NOT contain", "type": "array", "description": "Skip listings whose title or company contains any of these case-insensitive terms. Exclusion twin of the keyword filter above.", "default": [], "items": { "type": "string" } }, "postedSince": { "title": "Posted within last N days", "minimum": 0, "maximum": 365, "type": "integer", "description": "Only return listings posted within this many days. Applied client-side after fetching, since none of the 3 source boards support a server-side date filter — postedAt is parsed per source and compared here. Set 0 (default) to disable and return all fetched listings regardless of age.", "default": 0 }, "enableRemoteOK": { "title": "Include RemoteOK", "type": "boolean", "description": "Scrape listings from RemoteOK.", "default": true }, "enableRemotive": { "title": "Include Remotive", "type": "boolean", "description": "Scrape listings from Remotive.", "default": true }, "enableWeWorkRemotely": { "title": "Include WeWorkRemotely", "type": "boolean", "description": "Scrape tech/programming listings from WeWorkRemotely (Full-Stack, Back-End, Front-End, DevOps/SysAdmin).", "default": true }, "maxItemsPerSource": { "title": "Max items per source", "minimum": 0, "maximum": 500, "type": "integer", "description": "Maximum number of listings to return from each enabled board. Each item returned is a billed dataset result — raising this increases cost. Set 0 for no limit (not recommended; the 3 source boards can each return hundreds of live listings per run).", "default": 50 }, "maxItems": { "title": "Max items total", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Hard cap on the total number of listings returned across all boards. Each item returned is a billed dataset result — raising this increases cost. Set 0 for no limit (not recommended).", "default": 150 }, "cacheTtlSeconds": { "title": "Cache TTL (seconds)", "minimum": 0, "type": "integer", "description": "Reuse a fetch from this many seconds ago instead of hitting the source board again on rapid re-runs. Set 0 to always fetch live.", "default": 1800 } } }, "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 } } } } } } } } } } ```