# LinkedIn Jobs Lead Monitor (`vedder1980/linkedin-jobs-lead-monitor`) Actor
Extract job listings and hiring signals from LinkedIn-style pages for sales and recruiting intelligence.
- **URL**: https://apify.com/vedder1980/linkedin-jobs-lead-monitor.md
- **Developed by:** [Daniel Ferreira de Almeida](https://apify.com/vedder1980) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 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 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
## LinkedIn Jobs Lead Monitor
Extract job listings and hiring signals from LinkedIn-style pages.
### What it does
This Actor extracts structured job data from public pages and returns lead-relevant hiring signals such as:
- job title
- company
- location
- job URL
- posted date when available
- keyword matches
- basic signal scoring
### Best for
- sales intelligence
- recruiting intelligence
- hiring trend monitoring
- company growth signals
### Input
- `urls` — public job pages to process
- `html` — optional offline HTML fixture
- `htmlByUrl` — optional URL→HTML map
- `keywords` — optional relevance keywords
- `includeRawHtml` — include the original HTML in output
- `maxJobsPerPage` — cap per page
### Example input
```json
{
"urls": ["https://www.linkedin.com/jobs/search"],
"html": "
",
"keywords": ["automation", "ai"],
"includeRawHtml": false,
"maxJobsPerPage": 10
}
```
### Output
Each record is normalized for downstream lead scoring and watchlists.
### Notes
- Optimized for platform smoke tests using deterministic HTML fixtures.
- Useful for lead generation and hiring-signal monitoring.
# Actor input Schema
## `urls` (type: `array`):
Public job listing pages or HTML pages containing LinkedIn-style job cards.
## `html` (type: `string`):
Optional HTML fixture for local validation or offline parsing.
## `keywords` (type: `array`):
Optional keywords used to score job relevance.
## `includeRawHtml` (type: `boolean`):
Include the original HTML in the output.
## `maxJobsPerPage` (type: `integer`):
Maximum number of job records extracted per page.
## Actor input object example
```json
{
"keywords": [],
"includeRawHtml": false,
"maxJobsPerPage": 50
}
```
# Actor output Schema
## `dataset` (type: `string`):
Extracted job leads stored in the default dataset.
# 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("vedder1980/linkedin-jobs-lead-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {}
# Run the Actor and wait for it to finish
run = client.actor("vedder1980/linkedin-jobs-lead-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 '{}' |
apify call vedder1980/linkedin-jobs-lead-monitor --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=vedder1980/linkedin-jobs-lead-monitor",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/acts/3iwIcSdyaStnMr9uH/builds/dIAfr7iTeDSZmJWV3/openapi.json