# Competitor Hiring Monitor & Alerts (`monema/apify-job-board-monitor`) Actor

Track competitor career pages and job listings, detect meaningful role changes, and send actionable webhook alerts.

- **URL**: https://apify.com/monema/apify-job-board-monitor.md
- **Developed by:** [Maarten Vreeburg](https://apify.com/monema) (community)
- **Categories:** Jobs, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 hiring change 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 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

## Competitor Hiring Monitor & Alerts

Turn competitor hiring pages into an automated intelligence feed. Give the Actor a career-page or role-page URL, run it on a schedule, and receive only meaningful hiring changes instead of manually refreshing pages.

### Product angle

Customers can:

- watch competitor career pages, role pages, hiring pages, and listing pages
- detect meaningful text changes instead of noisy visual tweaks
- keep state between runs
- send webhook alerts when a page changes

### Ideal buyers

- SaaS founders watching competitor hiring pages
- recruiters
- talent teams
- agencies tracking niche role pages or directories
- operators who need reliable alerts instead of manual checking

### Why buyers pay

One missed competitor hiring signal can be more expensive than a month of monitoring. This Actor turns public career pages into structured, schedulable alerts for recruiting, market intelligence, and agency workflows.

### Validation

The actor logic was verified locally with a two-run test:

- first run stored an initial snapshot
- second run detected a meaningful change
- webhook delivery succeeded on the changed run

### Notes

Monitor only public pages you are allowed to access and respect applicable terms, robots rules, and privacy requirements.

# Actor input Schema

## `url` (type: `string`):

The URL of the website or page you want to monitor for changes.

## `selector` (type: `string`):

Optional CSS selector to monitor only a specific part of the page. If omitted, the full page text is monitored.

## `ignore_selectors` (type: `string`):

Comma-separated CSS selectors to remove before hashing (for example: '.cookie-banner,.ads,.promo').

## `min_change_ratio` (type: `number`):

Only treat a change as meaningful if the normalized text difference is at least this ratio. Set to 0 for any change.

## `webhook_url` (type: `string`):

Optional endpoint that receives the full JSON result whenever a meaningful change is detected.

## `state_key` (type: `string`):

Optional custom state key source when you want multiple runs to share or separate stored snapshots.

## `user_agent` (type: `string`):

Optional HTTP user agent string.

## `timeout_seconds` (type: `number`):

Request timeout in seconds.

## Actor input object example

```json
{
  "url": "https://www.example.com/",
  "ignore_selectors": ".cookie-banner,.advertising,.ads",
  "min_change_ratio": 0.05,
  "timeout_seconds": 30
}
```

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

// Prepare Actor input
const input = {
    "url": "https://www.example.com/",
    "ignore_selectors": ".cookie-banner,.advertising,.ads"
};

// Run the Actor and wait for it to finish
const run = await client.actor("monema/apify-job-board-monitor").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 = {
    "url": "https://www.example.com/",
    "ignore_selectors": ".cookie-banner,.advertising,.ads",
}

# Run the Actor and wait for it to finish
run = client.actor("monema/apify-job-board-monitor").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 '{
  "url": "https://www.example.com/",
  "ignore_selectors": ".cookie-banner,.advertising,.ads"
}' |
apify call monema/apify-job-board-monitor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/LBo0j5gsnm59VhZ8r/builds/2pg7Z1NasJmjZZHYD/openapi.json