# Remote Jobs Aggregator — 6 Job Boards, One Deduplicated Feed (`igor_nersisian/remote-jobs-aggregator`) Actor
Aggregate remote job listings from RemoteOK, Remotive, Himalayas, Working Nomads, Jobicy and We Work Remotely into one deduplicated feed. Includes salaries where available, keyword and age filters, and cross-board duplicate detection.
- **URL**: https://apify.com/igor\_nersisian/remote-jobs-aggregator.md
- **Developed by:** [Igor Nersisian](https://apify.com/igor_nersisian) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.80 / 1,000 job posting 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 Aggregator — RemoteOK, Remotive, Himalayas, WWR & More
Get **remote job listings from 6 major remote job boards in a single, deduplicated, normalized feed**: RemoteOK, Remotive, Himalayas, Working Nomads, Jobicy, and We Work Remotely. One run returns fresh remote openings with **salary data, categories, tags, and full descriptions** — cross-posted duplicates merged automatically.
Perfect for **job boards, newsletters, job-alert bots, market research on remote hiring, and personal job hunting on autopilot**.
### Why this aggregator?
- 🌍 **6 boards, 1 schema** — no need to handle six different APIs and formats.
- 🧬 **Cross-board deduplication** — the same job posted on 3 boards becomes one result with an `alsoFoundOn` list.
- 💰 **Salary-aware** — normalized `salaryMin` / `salaryMax` / `salaryCurrency` where boards disclose it, plus a `withSalaryOnly` filter.
- 🕒 **Freshness filter** — `maxAgeDays` returns only jobs published in the last N days: ideal for daily schedules and alerts.
- ⚡ **API-based** — reads each board's public API/RSS feed. Fast, stable, no proxies.
### Input example
```json
{
"keywords": ["python", "backend"],
"maxAgeDays": 7,
"withSalaryOnly": true,
"deduplicate": true
}
````
### Output example
```json
{
"title": "Senior Backend Engineer",
"company": "Acme Corp",
"source": "remotive",
"alsoFoundOn": ["remoteok"],
"url": "https://remotive.com/remote-jobs/software-dev/senior-backend-engineer-123",
"category": "Software Development",
"tags": ["python", "django", "aws"],
"location": "Worldwide",
"employmentType": "full_time",
"salaryMin": 120000,
"salaryMax": 160000,
"salaryCurrency": "USD",
"descriptionText": "We are looking for...",
"publishedAt": "2026-07-10T08:30:00.000Z"
}
```
### Use cases
- **Job alert automations** — schedule daily with `maxAgeDays: 1`, pipe new matches to Slack/email/Telegram via Apify integrations.
- **Niche job boards & newsletters** — a ready-made content pipeline: filter by category, publish anywhere.
- **Remote-work market research** — salary distributions, hiring trends by category, top hiring companies.
- **Personal job search** — one scheduled run instead of checking six sites every morning.
### Sources
| Board | Coverage |
|---|---|
| RemoteOK | Tech-heavy, salary ranges on most posts |
| Remotive | Curated remote jobs across categories |
| Himalayas | Rich metadata: seniority, timezones, skills |
| Working Nomads | Curated list, strong dev/marketing coverage |
| Jobicy | Multi-industry with salary data |
| We Work Remotely | One of the largest remote boards |
### Scheduling & integrations
Run on a [schedule](https://docs.apify.com/platform/schedules), export **JSON/CSV/Excel**, or connect **Zapier, Make, Google Sheets, webhooks** and the [Apify API](https://docs.apify.com/api/v2). Works great as a data source for AI agents via MCP.
### FAQ
**Why do some jobs have no salary?**
Boards only expose what employers disclose. Use `withSalaryOnly: true` to keep only jobs with salary data.
**How fresh are the results?**
As fresh as each board's public feed — typically minutes to hours after posting. Schedule daily runs with `maxAgeDays: 1` for a rolling feed of new jobs.
**Is this legal?**
Yes — the actor reads public APIs and RSS feeds these boards explicitly publish for consumption, and results link back to the original listings.
# Actor input Schema
## `sources` (type: `array`):
Which remote job boards to pull from. Default: all six.
## `keywords` (type: `array`):
Only keep jobs whose title contains at least one of these keywords (case-insensitive), e.g. \["python", "data engineer"]. Leave empty for all jobs.
## `categoryFilter` (type: `string`):
Only keep jobs whose category or tags contain this text (case-insensitive), e.g. marketing or devops.
## `maxAgeDays` (type: `integer`):
Only keep jobs published within the last N days. 0 = no age limit.
## `withSalaryOnly` (type: `boolean`):
Keep only jobs that disclose salary information.
## `deduplicate` (type: `boolean`):
Jobs cross-posted on several boards are merged into one result (an alsoFoundOn field lists the other boards).
## `maxJobsPerSource` (type: `integer`):
Cap the number of jobs fetched per board. 0 = as many as each board's API returns.
## Actor input object example
```json
{
"sources": [
"remoteok",
"remotive",
"himalayas",
"workingnomads",
"jobicy",
"weworkremotely"
],
"keywords": [],
"maxAgeDays": 0,
"withSalaryOnly": false,
"deduplicate": true,
"maxJobsPerSource": 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": [],
"categoryFilter": ""
};
// Run the Actor and wait for it to finish
const run = await client.actor("igor_nersisian/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 = {
"keywords": [],
"categoryFilter": "",
}
# Run the Actor and wait for it to finish
run = client.actor("igor_nersisian/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 '{
"keywords": [],
"categoryFilter": ""
}' |
apify call igor_nersisian/remote-jobs-aggregator --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=igor_nersisian/remote-jobs-aggregator",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Remote Jobs Aggregator — 6 Job Boards, One Deduplicated Feed",
"description": "Aggregate remote job listings from RemoteOK, Remotive, Himalayas, Working Nomads, Jobicy and We Work Remotely into one deduplicated feed. Includes salaries where available, keyword and age filters, and cross-board duplicate detection.",
"version": "0.1",
"x-build-id": "eiQotBfeeHXMraG31"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/igor_nersisian~remote-jobs-aggregator/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-igor_nersisian-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/igor_nersisian~remote-jobs-aggregator/runs": {
"post": {
"operationId": "runs-sync-igor_nersisian-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/igor_nersisian~remote-jobs-aggregator/run-sync": {
"post": {
"operationId": "run-sync-igor_nersisian-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": {
"sources": {
"title": "Job boards to aggregate",
"type": "array",
"description": "Which remote job boards to pull from. Default: all six.",
"items": {
"type": "string",
"enum": [
"remoteok",
"remotive",
"himalayas",
"workingnomads",
"jobicy",
"weworkremotely"
],
"enumTitles": [
"RemoteOK",
"Remotive",
"Himalayas",
"Working Nomads",
"Jobicy",
"We Work Remotely"
]
},
"default": [
"remoteok",
"remotive",
"himalayas",
"workingnomads",
"jobicy",
"weworkremotely"
]
},
"keywords": {
"title": "Title keywords",
"type": "array",
"description": "Only keep jobs whose title contains at least one of these keywords (case-insensitive), e.g. [\"python\", \"data engineer\"]. Leave empty for all jobs.",
"items": {
"type": "string"
}
},
"categoryFilter": {
"title": "Category / tag filter",
"type": "string",
"description": "Only keep jobs whose category or tags contain this text (case-insensitive), e.g. marketing or devops."
},
"maxAgeDays": {
"title": "Max job age (days)",
"minimum": 0,
"type": "integer",
"description": "Only keep jobs published within the last N days. 0 = no age limit.",
"default": 0
},
"withSalaryOnly": {
"title": "Only jobs with salary info",
"type": "boolean",
"description": "Keep only jobs that disclose salary information.",
"default": false
},
"deduplicate": {
"title": "Cross-board deduplication",
"type": "boolean",
"description": "Jobs cross-posted on several boards are merged into one result (an alsoFoundOn field lists the other boards).",
"default": true
},
"maxJobsPerSource": {
"title": "Max jobs per source",
"minimum": 0,
"type": "integer",
"description": "Cap the number of jobs fetched per board. 0 = as many as each board's API returns.",
"default": 0
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```