# Job Board Aggregator & Job Scraper (`missingreports/job-board-aggregator`) Actor

Aggregate job listings across LinkedIn, Indeed, Lever and Greenhouse into one dataset. Filter by search terms, locations and remote-only. One normalized schema for downstream analysis and alerts.

- **URL**: https://apify.com/missingreports/job-board-aggregator.md
- **Developed by:** [MissingReports](https://apify.com/missingreports) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00299 / result

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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Job Board Aggregator (LinkedIn/Indeed/Lever/Greenhouse)

Aggregate job listings across LinkedIn, Indeed, Lever and Greenhouse into one normalized dataset. Filter by terms, locations and remote-only.

### Input

See the Actor input UI after building. Configure the options, then **Run**.

### Output

Structured results are saved to the default dataset (JSON / CSV / Excel export available).

### Monetization

Set a price (free trial + per-run or monthly rental) in the Apify Console, then make the Actor public in the Apify Store.

# Actor input Schema

## `searchTerms` (type: `array`):

Job titles or keywords to search (one per line).

## `locations` (type: `array`):

Locations to search (one per line). Leave empty for 'anywhere'.

## `remoteOnly` (type: `boolean`):

Only return remote jobs where supported.

## `maxItemsPerBoard` (type: `integer`):

Maximum jobs to collect from each board per search term.

## `proxyConfiguration` (type: `object`):

Job boards block aggressively. Use residential proxies.

## Actor input object example

```json
{
  "searchTerms": [
    "frontend engineer",
    "data scientist"
  ],
  "locations": [
    "Remote",
    "Berlin"
  ],
  "remoteOnly": false,
  "maxItemsPerBoard": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchTerms": [
        "frontend engineer",
        "data scientist"
    ],
    "locations": [
        "Remote",
        "Berlin"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("missingreports/job-board-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchTerms": [
        "frontend engineer",
        "data scientist",
    ],
    "locations": [
        "Remote",
        "Berlin",
    ],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("missingreports/job-board-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 '{
  "searchTerms": [
    "frontend engineer",
    "data scientist"
  ],
  "locations": [
    "Remote",
    "Berlin"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call missingreports/job-board-aggregator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=missingreports/job-board-aggregator",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/4YyZ7nKVDE5ccjLUa/builds/59JdXPsmJWEOZ906O/openapi.json