# LinkedIn Company Hiring Signals Scraper (`neuton/linkedin-company-hiring-signals`) Actor

Scrape public LinkedIn jobs into auditable company hiring signals for sales prospecting, recruiting, and market intelligence.

- **URL**: https://apify.com/neuton/linkedin-company-hiring-signals.md
- **Developed by:** [Ashwin Prasad](https://apify.com/neuton) (community)
- **Categories:** Jobs, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$8.00 / 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 Company Hiring Signals Scraper

Scrape public LinkedIn job searches into company-level hiring-intent rows for account-based sales, recruiting intelligence, competitor tracking, and market research. Instead of exporting one row per job, this Actor groups the current search results by employer and explains each score with jobs, locations, role families, and source URLs.

### What the hiring signal means

For each company meeting `minimumCompanyJobs`, the Actor calculates a transparent 0-100 score from:

- the number of open jobs found in this run
- the number of listings with public posting dates
- the number of distinct hiring locations

The result is labelled `moderate`, `good`, or `strong`. It is a rule-based signal from the bounded search run, not an AI prediction of company revenue, funding, or purchase intent.

### Example input

```json
{
  "queries": ["sales", "engineering"],
  "locations": ["United States"],
  "datePosted": "r604800",
  "maxResultsPerQuery": 50,
  "minimumCompanyJobs": 2
}
```

### Output fields

Each company-level row includes:

- `company`, `companyUrl`, `openJobsInRun`
- `hiringSignalScore`, `hiringSignalLabel`
- `locations`, `roleFamilyCounts`, `searchQueries`
- `sampleTitles`, `sampleJobUrls`, `scrapedAt`

`roleFamilyCounts` groups titles into engineering, data, sales, marketing, product, operations, finance, people, or other. Sample titles and URLs make every aggregate auditable.

### Sales and research workflows

- Monitor named role families for account expansion signals
- Rank companies hiring sales, engineering, data, or operations teams
- Track geographic expansion through newly observed locations
- Feed a CRM or warehouse while retaining public source evidence
- Schedule recurring Tasks and compare `openJobsInRun` over time

Send the rows to ChatGPT, Claude, Clay, n8n, Make, Zapier, a BI tool, or the [Neuton Actors MCP Server](https://apify.com/neuton/neuton-actors-mcp-server).

### Pricing

Launch price: $8.00 per 1,000 returned company hiring signals ($0.008 each). A 100-company output costs about $0.80 in Actor charges. Underlying job candidates that do not produce a qualifying company aggregate are not returned as company-result rows. This is a margin-first price.

### Hiring signals SEO keywords

LinkedIn hiring signals, company hiring intent, sales trigger data, account-based sales data, LinkedIn jobs intelligence, company growth signals, recruiting market research.

### LinkedIn jobs workflow family

- [LinkedIn Remote Jobs Scraper & Intelligence](https://apify.com/neuton/linkedin-remote-jobs-intelligence) for remote hiring feeds
- [LinkedIn Salary Jobs Scraper](https://apify.com/neuton/linkedin-salary-jobs-intelligence) for compensation research
- [LinkedIn Easy Apply Jobs Scraper](https://apify.com/neuton/linkedin-easy-apply-jobs-scraper) for application-path monitoring
- [LinkedIn Job Skills Demand Scraper](https://apify.com/neuton/linkedin-tech-skills-demand-analyzer) for technology demand by skill

### Responsible use

This Actor processes public job-posting information. Hiring activity is only one incomplete business signal; verify the source rows before consequential decisions. Do not use the output for spam, unlawful discrimination, private-profile collection, access-control bypass, or excessive requests. This Actor is not affiliated with or endorsed by LinkedIn.

# Actor input Schema

## `queries` (type: `array`):

Role, skill, or market queries.

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

LinkedIn location text such as United States, London, or Bengaluru.

## `datePosted` (type: `string`):

LinkedIn period: r86400, r604800, or r2592000.

## `experienceLevels` (type: `array`):

Optional LinkedIn experience filter codes.

## `jobTypes` (type: `array`):

Optional LinkedIn job type filter codes.

## `geoId` (type: `string`):

Optional LinkedIn geo ID for exact location targeting.

## `maxResultsPerQuery` (type: `integer`):

Maximum public jobs to inspect for each query/location pair.

## `minimumCompanyJobs` (type: `integer`):

Only emit a company signal when at least this many matching jobs were found.

## Actor input object example

```json
{
  "queries": [
    "sales",
    "engineering"
  ],
  "locations": [
    "United States"
  ],
  "datePosted": "r604800",
  "experienceLevels": [],
  "jobTypes": [],
  "maxResultsPerQuery": 50,
  "minimumCompanyJobs": 2
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("neuton/linkedin-company-hiring-signals").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("neuton/linkedin-company-hiring-signals").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 neuton/linkedin-company-hiring-signals --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuton/linkedin-company-hiring-signals"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Skbkr55q47mDcIWj4/builds/XZypldNg3aqeMV6PT/openapi.json