# Remote Jobs Scraper: RemoteOK, Remotive, WeWorkRemotely (`scrapemint/remote-jobs-scraper`) Actor Pull remote job listings from RemoteOK, Remotive, WeWorkRemotely and Himalayas in one normalized JSON feed: title, company, salary, tags, location limits, posted date and apply URL. Filter by keyword and freshness. No login, no API key. Pay per job row. - **URL**: https://apify.com/scrapemint/remote-jobs-scraper.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Jobs, Business - **Stats:** 9 total users, 6 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 job rows 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 Scraper: RemoteOK, Remotive, WeWorkRemotely, Himalayas Four remote job boards, one clean JSON feed. This actor pulls live listings from RemoteOK, Remotive, WeWorkRemotely, and Himalayas, normalizes them into a single row schema, dedupes across boards, and filters by keyword and freshness. No login, no API key, no browser. ### Why people use it - **Job alert feeds.** Schedule it hourly with your keywords and pipe new rows into Slack, email, or a database. You see postings across four boards the hour they appear. - **Lead generation.** A company hiring remotely is a company spending. Filter by role keywords that signal your buyer (e.g. "devops", "growth") and feed the companies into your outreach list. - **Job board building.** Bootstrap or enrich a niche job site with normalized listings that carry salary, tags, and location limits. - **Market research.** Track salary ranges, seniority mix, and tag trends for a role across boards over time. ### Input ```json { "keywords": ["engineer"], "sources": ["remoteok", "remotive", "weworkremotely", "himalayas"], "maxJobsPerSource": 25, "postedWithinDays": 14 } ```` Leave `keywords` empty to get the latest listings from every board. `postedWithinDays: 0` disables the freshness filter. ### Output One row per job: ```json { "source": "Remotive", "sourceUrl": "https://remotive.com", "jobId": "remotive-1234567", "title": "Senior Backend Engineer", "company": "Acme Corp", "tags": ["python", "aws", "postgres"], "category": "Software Development", "jobType": "full_time", "salaryText": "$120k - $160k", "location": "Worldwide", "postedAt": "2026-07-03T20:01:13.000Z", "applyUrl": "https://remotive.com/remote-jobs/software-dev/senior-backend-engineer-1234567", "description": "..." } ``` Salary appears as `salaryMin`/`salaryMax` numbers where the board provides them (RemoteOK, Himalayas) and as `salaryText` where it is free text (Remotive). Rows are deduped across boards on title plus company. ### Pricing Pay per job row. The first 2 rows per run are free so you can validate the output shape. A 100 job pull costs $0.30. ### Data sources and attribution Listings come from the public feeds of [RemoteOK](https://remoteok.com), [Remotive](https://remotive.com), [WeWorkRemotely](https://weworkremotely.com), and [Himalayas](https://himalayas.app). Every row carries its `source` and `sourceUrl`. If you republish listings, keep that attribution and link back to the source board; RemoteOK and Remotive require it as a condition of their public APIs. ### FAQ **How fresh are the listings?** Feeds are read live at run time. RemoteOK and WeWorkRemotely expose the newest postings; Remotive and Himalayas expose their full current catalog. **Can I search only one board?** Yes, set `sources` to the boards you want. **Do I get the full job description?** A cleaned text excerpt up to 1,500 characters, plus the `applyUrl` to the full posting. # Actor input Schema ## `keywords` (type: `array`): Only return jobs whose title, company, tags or category contain any of these words, e.g. \["python", "data engineer"]. Leave empty for the latest jobs from every board. ## `sources` (type: `array`): Which boards to pull from. ## `maxJobsPerSource` (type: `integer`): Cap on rows pushed from each board. ## `maxRows` (type: `integer`): Overall cap on rows pushed in one run. ## `postedWithinDays` (type: `integer`): Only return jobs posted in the last N days. 0 disables the filter. ## `proxyConfiguration` (type: `object`): Usually not needed. All four boards serve keyless public feeds. ## Actor input object example ```json { "keywords": [ "engineer" ], "sources": [ "remoteok", "remotive", "weworkremotely", "himalayas" ], "maxJobsPerSource": 25, "maxRows": 100, "postedWithinDays": 0 } ``` # 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 = { "keywords": [ "engineer" ], "maxJobsPerSource": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/remote-jobs-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 = { "keywords": ["engineer"], "maxJobsPerSource": 25, } # Run the Actor and wait for it to finish run = client.actor("scrapemint/remote-jobs-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 '{ "keywords": [ "engineer" ], "maxJobsPerSource": 25 }' | apify call scrapemint/remote-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/remote-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remote Jobs Scraper: RemoteOK, Remotive, WeWorkRemotely", "description": "Pull remote job listings from RemoteOK, Remotive, WeWorkRemotely and Himalayas in one normalized JSON feed: title, company, salary, tags, location limits, posted date and apply URL. Filter by keyword and freshness. No login, no API key. Pay per job row.", "version": "0.1", "x-build-id": "MnLCbwkQpaEhazbRi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~remote-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-remote-jobs-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/scrapemint~remote-jobs-scraper/runs": { "post": { "operationId": "runs-sync-scrapemint-remote-jobs-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/scrapemint~remote-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-scrapemint-remote-jobs-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": { "keywords": { "title": "Keywords (optional)", "type": "array", "description": "Only return jobs whose title, company, tags or category contain any of these words, e.g. [\"python\", \"data engineer\"]. Leave empty for the latest jobs from every board.", "items": { "type": "string" } }, "sources": { "title": "Job boards", "type": "array", "description": "Which boards to pull from.", "items": { "type": "string", "enum": [ "remoteok", "remotive", "weworkremotely", "himalayas" ], "enumTitles": [ "RemoteOK", "Remotive", "WeWorkRemotely", "Himalayas" ] }, "default": [ "remoteok", "remotive", "weworkremotely", "himalayas" ] }, "maxJobsPerSource": { "title": "Max jobs per board", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Cap on rows pushed from each board.", "default": 25 }, "maxRows": { "title": "Max total rows", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Overall cap on rows pushed in one run.", "default": 100 }, "postedWithinDays": { "title": "Posted within days (optional)", "minimum": 0, "maximum": 365, "type": "integer", "description": "Only return jobs posted in the last N days. 0 disables the filter.", "default": 0 }, "proxyConfiguration": { "title": "Proxy (optional)", "type": "object", "description": "Usually not needed. All four boards serve keyless public feeds." } } }, "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 } } } } } } } } } } ```