# Remote Jobs Aggregator (RemoteOK + Remotive) (`exuberant_volley/remote-jobs-scraper`) Actor For job boards, newsletter curators, and recruiters who need today's remote roles without opening two sites. Live listings: title, company, salary, tags, location + keyword filter. Clean JSON. Free to run. - **URL**: https://apify.com/exuberant\_volley/remote-jobs-scraper.md - **Developed by:** [ScrapeForge](https://apify.com/exuberant_volley) (community) - **Categories:** Jobs, Automation, AI - **Stats:** 2 total users, 1 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 Listings in One Feed **Launch pricing: this actor currently adds no fee — run it on your Apify free-plan credits. Try it, bookmark it, wire it into your stack.** A **remote jobs scraper** that merges two boards into one clean dataset: **scrape remote jobs** from RemoteOK and Remotive in a single run, keyword-filtered and deduplicated by URL. Use it as a **RemoteOK scraper**, a **Remotive scraper**, or both at once — effectively a **remote job listings API** you can schedule daily without writing a line of code. > Two job boards, one JSON feed — with a hard guarantee: a run that finds nothing fails loudly instead of returning an empty dataset. ### Who uses this - **Job-board & newsletter builders** — feed fresh listings into niche boards, digests and Telegram channels. - **Recruiters & sourcers** — monitor which companies are hiring for which stacks, week over week. - **Labor-market researchers** — tag frequency and posting volume per stack over time is a free demand signal. - **Job seekers who automate** — a daily keyword run beats refreshing two sites. Recruiters: every executive departure is an open seat — the [Executive Changes Tracker](https://apify.com/exuberant_volley/executive-changes-scraper) turns SEC filings and newswires into those trigger leads. ### How it works The actor pulls the public JSON feeds of RemoteOK (`/api`) and Remotive (`/api/remote-jobs`), normalizes both into one record shape, filters by your keywords (matched against title, company and tags), and deduplicates by listing URL. Source values are normalized case-insensitively — unknown source names fall back to both boards instead of producing an empty run. ### Output One record per listing: ```json { "source": "remoteok", "title": "Dispatch Charlottetown Police Services", "company": "City of Charlottetown", "salaryMin": null, "salaryMax": null, "tags": ["education", "non tech", "ops"], "location": "Charlottetown, ", "url": "https://remoteOK.com/remote-jobs/remote-dispatch-charlottetown-police-services-city-of-charlottetown-1134852", "postedAt": "2026-07-14T08:38:00+00:00", "scrapedAt": "2026-07-15T09:35:02.508Z" } ```` - Remotive records additionally carry `salaryText` (free-text salary), `category` and `jobType`. - `source` tells you which board each record came from; `url` links back to the original post. ### Input | Field | Default | Description | |---|---|---| | `keyword` | `engineer` (prefill) | Filter by keyword in title/company/tags; empty = all listings | | `keywords` | — | Match any of several keywords | | `sources` | `["remoteok", "remotive"]` | Boards to fetch (case-insensitive; unknown values fall back to both) | | `maxItems` | `500` | Stop after this many jobs | **The default run needs no configuration** — an empty input returns all current listings from both boards. ### Reliability & limits - **Salary fields are often `null`** — most boards don't publish structured salaries. RemoteOK sometimes fills `salaryMin`/`salaryMax`; Remotive usually only has free-text `salaryText`. - The feeds return **current listings** (a few hundred), not archives — schedule daily runs and accumulate if you need history. - Stable public JSON feeds, no HTML parsing — listings originate from RemoteOK and Remotive, and links back to the original posts are included in every record (attribution requested by RemoteOK). ### Paste this output into… - **Google Sheets** — `=IMPORTDATA("https://api.apify.com/v2/acts/exuberant_volley~remote-jobs-scraper/runs/last/dataset/items?format=csv&clean=1&token=YOUR_TOKEN")` for a live jobs sheet. - **Make / n8n** — schedule daily, fetch `.../runs/last/dataset/items`, dedupe on `url` against your datastore, and push only NEW listings to Slack/email. - **Newsletter digest (builders)** — daily keyword run → group by `tags` → LLM-summarize into a "10 new remote React jobs this week" section, links included. ### ScrapeForge free data suite One publisher, fourteen plug-and-play datasets — all currently free to run: | Actor | What it delivers | | |---|---|---| | [Executive Changes Tracker](https://apify.com/exuberant_volley/executive-changes-scraper) | New CEO/CFO/board moves from SEC 8-Ks + official newswires — source-cited B2B trigger leads | [run it next →](https://apify.com/exuberant_volley/executive-changes-scraper) | | [IKEA Product Scraper](https://apify.com/exuberant_volley/ikea-product-scraper) | Names, prices, ratings and images from any IKEA search or category page | [run it next →](https://apify.com/exuberant_volley/ikea-product-scraper) | | [Shopify Store Scraper](https://apify.com/exuberant_volley/shopify-store-scraper) | Any Shopify store's full catalog — variants, SKUs, prices — via products.json | [run it next →](https://apify.com/exuberant_volley/shopify-store-scraper) | | [App Store Apps Scraper](https://apify.com/exuberant_volley/app-store-apps-scraper) | App rankings, ratings, prices and metadata by keyword, any country | [run it next →](https://apify.com/exuberant_volley/app-store-apps-scraper) | | [Remote Jobs Scraper](https://apify.com/exuberant_volley/remote-jobs-scraper) | Live remote listings from RemoteOK + Remotive, keyword-filtered | [run it next →](https://apify.com/exuberant_volley/remote-jobs-scraper) | | [CoinGecko Market Scraper](https://apify.com/exuberant_volley/coingecko-market-scraper) | Top-coin prices, market caps and 24h moves — keyless | [run it next →](https://apify.com/exuberant_volley/coingecko-market-scraper) | | [GitHub Repositories Scraper](https://apify.com/exuberant_volley/github-repos-scraper) | Repo search with stars, forks, topics and licenses | [run it next →](https://apify.com/exuberant_volley/github-repos-scraper) | | [Hacker News Scraper](https://apify.com/exuberant_volley/hackernews-scraper) | Top/New/Best HN stories with scores and comment counts | [run it next →](https://apify.com/exuberant_volley/hackernews-scraper) | | [Wikipedia Scraper](https://apify.com/exuberant_volley/wikipedia-scraper) | Article summaries, images and URLs in any language — RAG-ready | [run it next →](https://apify.com/exuberant_volley/wikipedia-scraper) | | [SEC EDGAR Filings Scraper](https://apify.com/exuberant_volley/sec-edgar-filings-scraper) | Any US public company's filing history by ticker | [run it next →](https://apify.com/exuberant_volley/sec-edgar-filings-scraper) | | [Open-Meteo Weather Scraper](https://apify.com/exuberant_volley/open-meteo-weather-scraper) | 16-day daily forecast for any coordinates — temps, rain, wind — keyless | [run it next →](https://apify.com/exuberant_volley/open-meteo-weather-scraper) | | [arXiv Papers Scraper](https://apify.com/exuberant_volley/arxiv-papers-scraper) | Research papers by topic — abstracts, categories, PDF links, newest-first sort | [run it next →](https://apify.com/exuberant_volley/arxiv-papers-scraper) | | [NVD CVE Scraper](https://apify.com/exuberant_volley/nvd-cve-scraper) | Fresh CVEs with CVSS severity, CWE ids and CISA known-exploited flags | [run it next →](https://apify.com/exuberant_volley/nvd-cve-scraper) | | [npm Registry Scraper](https://apify.com/exuberant_volley/npm-registry-scraper) | npm package vitals — latest version, license, weekly downloads, dependency count | [run it next →](https://apify.com/exuberant_volley/npm-registry-scraper) | ### Compliance - **Company-level data only — no personal data, GDPR-safe.** No applicant data, no recruiter contacts. - Listings originate from RemoteOK and Remotive — links back to the original posts are included in every record. - Records live only in your run's dataset; the actor keeps nothing beyond it. # Actor input Schema ## `keyword` (type: `string`): Filter jobs by keyword in title/company/tags, e.g. "react". Leave empty for all jobs. ## `keywords` (type: `array`): Match any of these keywords. ## `sources` (type: `array`): Job boards to fetch from. ## `maxItems` (type: `integer`): Stop after this many jobs. ## Actor input object example ```json { "keyword": "engineer", "sources": [ "remoteok", "remotive" ], "maxItems": 500 } ``` # 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": "engineer" }; // Run the Actor and wait for it to finish const run = await client.actor("exuberant_volley/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 = { "keyword": "engineer" } # Run the Actor and wait for it to finish run = client.actor("exuberant_volley/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 '{ "keyword": "engineer" }' | apify call exuberant_volley/remote-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=exuberant_volley/remote-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remote Jobs Aggregator (RemoteOK + Remotive)", "description": "For job boards, newsletter curators, and recruiters who need today's remote roles without opening two sites. Live listings: title, company, salary, tags, location + keyword filter. Clean JSON. Free to run.", "version": "0.1", "x-build-id": "gsmp1IjiHyYUSMKfk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/exuberant_volley~remote-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-exuberant_volley-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/exuberant_volley~remote-jobs-scraper/runs": { "post": { "operationId": "runs-sync-exuberant_volley-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/exuberant_volley~remote-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-exuberant_volley-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": { "keyword": { "title": "Keyword", "type": "string", "description": "Filter jobs by keyword in title/company/tags, e.g. \"react\". Leave empty for all jobs." }, "keywords": { "title": "More keywords", "type": "array", "description": "Match any of these keywords.", "items": { "type": "string" } }, "sources": { "title": "Sources", "type": "array", "description": "Job boards to fetch from.", "items": { "type": "string", "enum": [ "remoteok", "remotive" ], "enumTitles": [ "RemoteOK", "Remotive" ] }, "default": [ "remoteok", "remotive" ] }, "maxItems": { "title": "Max jobs", "minimum": 1, "type": "integer", "description": "Stop after this many jobs.", "default": 500 } } }, "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 } } } } } } } } } } ```