# Remote Developer Jobs Scraper (`c0nst/remote-jobs-scraper`) Actor Scrape remote job listings from multiple sources — remote.com, remoteok.com, and weworkremotely.com - with a single keyword search. Filter by programming language, technology, or role and get structured results including title, company, location, salary, and tags. - **URL**: https://apify.com/c0nst/remote-jobs-scraper.md - **Developed by:** [Kostiantyn](https://apify.com/c0nst) (community) - **Categories:** Jobs - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 Scraper Scrape **remote job listings** from multiple sources — [remote.com](https://remote.com), [remoteok.com](https://remoteok.com), and [weworkremotely.com](https://weworkremotely.com) — with a single keyword search. Filter by programming language, technology, or role and get structured results including title, company, location, salary, and tags. ### What does Remote Jobs Scraper do? Remote Jobs Scraper searches three of the most popular remote job boards simultaneously and returns a unified dataset of matching jobs. Provide a keyword like `Java`, `TypeScript`, `React`, or `Fullstack` and the actor queries each source, filters results to the last 6 months, and outputs structured JSON ready for analysis, alerting, or integration with other tools. Running on the Apify platform gives you scheduled runs, API access, proxy rotation, and integrations with tools like Zapier, Make, and Google Sheets — no infrastructure required. ### Why use Remote Jobs Scraper? - **Three sources in one run** — remote.com, remoteok.com, and weworkremotely.com covered simultaneously - **Salary extraction** — captures salary ranges where listed - **Smart filtering** — frontend languages (React, TypeScript, Vue, etc.) automatically search frontend-only categories; backend languages search full-stack and back-end categories - **Date filtering** — only returns jobs posted within the last 6 months - **Structured output** — consistent JSON schema across all sources with `source` field to identify origin ### How to use Remote Jobs Scraper 1. Go to the actor page and click **Try for free** 2. Enter a **Programming Language / Technology / Role** (e.g. `Java`, `React`, `Fullstack`) 3. Optionally set **Max Jobs** to limit results (default: 100) 4. Click **Start** and wait for the run to complete (typically about 30 seconds) 5. Download results from the **Output** tab in JSON, CSV, or Excel format ### Input | Field | Type | Description | Default | |---|---|---|---| | `language` | string | Programming language, technology, or role to search for (e.g. `Java`, `TypeScript`, `React`, `Backend`) | required | | `maxJobs` | integer | Maximum number of jobs to return across all sources. Set to `0` for unlimited | `100` | **Example input:** ```json { "language": "Java", "maxJobs": 100 } ```` **Frontend languages** (JavaScript, TypeScript, React, Angular, Vue, frontend) automatically restrict weworkremotely results to front-end categories only. ### Output Each item in the dataset represents one job listing. Results are sorted newest-first within each source. **Example output:** ```json [ { "title": "Senior Java Developer", "company": "Xempus Deutschland GmbH", "location": "remote - Bulgaria +4 more", "salary": "48k - 60k USD/year", "tags": ["Quick apply", "Remote", "Full-time"], "postedAt": "2026-03-25T10:00:00.000Z", "url": "https://remote.com/jobs/xempus-deutschland-gmbh-c1qt2ods/senior-java-developer-m-f-d-j1rdgf0z", "source": "remote.com" }, { "title": "Java Backend Engineer", "company": "Acme Corp", "location": "Remote", "salary": "$120k - $160k/yr", "tags": ["Java", "Spring", "AWS"], "postedAt": "2026-04-01T00:00:09.000Z", "url": "https://remoteok.com/remote-jobs/java-backend-engineer-acme-corp-1130614", "source": "remoteok.com" }, { "title": "Java Software Engineer", "company": "GlobalTech", "location": "Anywhere in the World", "salary": "", "tags": ["Java", "Full-Time"], "postedAt": "Mon, 01 Apr 2026 12:00:00 +0000", "url": "https://weworkremotely.com/remote-jobs/globaltech-java-software-engineer", "source": "weworkremotely.com" } ] ``` ### Data fields | Field | Description | |---|---| | `title` | Job title | | `company` | Hiring company name | | `location` | Location or region (e.g. "Remote", "remote - US only", "Anywhere in the World") | | `salary` | Salary range if listed, empty string if not available | | `tags` | Skills, employment type, and other badges from the listing | | `postedAt` | ISO 8601 timestamp or RFC date of when the job was posted | | `url` | Direct link to the job listing | | `source` | Source site: `remote.com`, `remoteok.com`, or `weworkremotely.com` | You can download the dataset in various formats such as JSON, HTML, CSV, or Excel from the Apify Console. ### Pricing This actor uses **pay per result** pricing at **$2.00 per 1,000 results**. You are charged per job returned, not per compute time. | Jobs scraped | Estimated cost | |---|---| | 50 jobs | ~$0.10 | | 100 jobs | ~$0.20 | | 500 jobs | ~$1.00 | | 1,000 jobs | ~$2.00 | A typical run searching for `Java` across all three sources takes under a minute and returns 50–150 jobs. ### Tips - Use **specific technology names** for better results — `TypeScript` returns more relevant results than `JavaScript` - Set `maxJobs` to a lower number (e.g. `20`) for quick checks or higher (`0`) for comprehensive collection - Schedule runs daily or weekly via Apify's built-in scheduler to monitor new listings automatically - Use the Apify API to integrate results into Slack notifications, Google Sheets, or custom dashboards ### FAQ and support **Is scraping these job boards legal?** This actor only collects publicly available job listing data. Always review the Terms of Service of each platform before using scraped data commercially. **Why are some jobs missing salary information?** Most job listings do not include salary data. The actor captures it where explicitly published by the employer. **Some jobs don't seem relevant to my search term — why?** Relevance depends on how each platform indexes jobs. weworkremotely results include all jobs in the matched category, which may occasionally include tangentially related roles. For bugs or feature requests, please open an issue on the [Issues tab](../../issues). Custom scraping solutions are also available on request. # Actor input Schema ## `language` (type: `string`): Filter jobs by language/technology (e.g. 'Python', 'TypeScript', 'React') or Role (Backend, Frontend, Fullstack) ## `maxJobs` (type: `integer`): Maximum number of job listings to scrape. Set to 0 for unlimited. ## Actor input object example ```json { "maxJobs": 100 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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("c0nst/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 = {} # Run the Actor and wait for it to finish run = client.actor("c0nst/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 '{}' | apify call c0nst/remote-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=c0nst/remote-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remote Developer Jobs Scraper", "description": "Scrape remote job listings from multiple sources — remote.com, remoteok.com, and weworkremotely.com - with a single keyword search. Filter by programming language, technology, or role and get structured results including title, company, location, salary, and tags.", "version": "0.0", "x-build-id": "O6XsX11kXau7DvyzK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/c0nst~remote-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-c0nst-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/c0nst~remote-jobs-scraper/runs": { "post": { "operationId": "runs-sync-c0nst-remote-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/c0nst~remote-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-c0nst-remote-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "language" ], "properties": { "language": { "title": "Programming Language / Technology / Role", "type": "string", "description": "Filter jobs by language/technology (e.g. 'Python', 'TypeScript', 'React') or Role (Backend, Frontend, Fullstack)" }, "maxJobs": { "title": "Max Jobs", "minimum": 0, "type": "integer", "description": "Maximum number of job listings to scrape. Set to 0 for unlimited.", "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 } } } } } } } } } } ```