LinkedIn Hiring Signal Company Monitor

Find companies that are hiring right now for the roles you sell into. Enter job keywords (for example RevOps, data engineer, SOC analyst) and locations; the Actor reads LinkedIn's public job listings, groups them by company and returns one row per hiring company with a signal score, so sales and recruiting teams can reach out while the need is fresh.

What this Actor returns

One row per company:

• companyName, companyUrl (LinkedIn company page)
• jobsMatched: number of matching open roles
• roles: job titles, locations, matchedKeywords
• hiringVelocity: rising, active or steady, based on how many roles were posted in the last 7 days
• signalScore (0-100): more roles and more recent roles score higher
• latestPostedAt, sourceJobUrls (links to each job), scrapedAt

How to use it

1. Enter one or more Job keywords and Locations.
2. Pick a Date range (24h, 7d or 30d) and the maximum number of jobs to scan.
3. Run it, then sort by signalScore to see the companies hiring hardest.
4. Schedule it daily or weekly to catch new hiring signals, and send results to your CRM via the API, webhooks or integrations.

Only public job listings are read; no LinkedIn login is used.

Input example

{
  "jobKeywords": [
    "RevOps"
  ],
  "locations": [
    "United States"
  ],
  "dateRange": "7d",
  "maxJobs": 25
}

All fields are described in the Input tab, and the same JSON works in the API and for AI agents.

How much does LinkedIn Hiring Signal Company Monitor cost?

This Actor uses pay-per-event pricing: you pay only for what it delivers, and platform usage is included.

Event	Price
Result (one dataset item)	$0.006 each ($6.00 per 1,000)
Actor start	$5e-05 per run

Set Maximum cost per run in the run options to cap your spend; the Actor stops when the limit is reached. Check the Pricing tab for current prices and plan discounts.

Use LinkedIn Hiring Signal Company Monitor with AI agents (MCP)

Give Claude, ChatGPT, Cursor, VS Code or any MCP client this Actor as a tool through the hosted Apify MCP server. The agent sees the input fields with descriptions and example values, runs the Actor, and reads the results.

MCP server URL (this Actor only):

https://mcp.apify.com/?tools=technicaldost/linkedin-hiring-signal-company-monitor

Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/linkedin-hiring-signal-company-monitor" --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Cursor, VS Code, Claude Desktop and other clients (mcp.json or the client's MCP settings):

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=technicaldost/linkedin-hiring-signal-company-monitor",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Clients that support sign-in (such as Claude.ai connectors) can use the URL without a token and log in to Apify instead. Get your token in Apify Console → Settings → API & Integrations, or generate a ready config for your client at mcp.apify.com. In the agent the tool is named technicaldost--linkedin-hiring-signal-company-monitor; ask it, for example, to "run LinkedIn Hiring Signal Company Monitor with {"jobKeywords": ["RevOps"], "locations": ["United States"], "dateRange": "7d", "maxJobs": 25}".

AI agents without an Apify account can also run and pay for this Actor per request with x402 agentic payments.

Run LinkedIn Hiring Signal Company Monitor via API

Run the Actor and get its results in one call (replace YOUR_APIFY_TOKEN):

curl -X POST "https://api.apify.com/v2/acts/technicaldost~linkedin-hiring-signal-company-monitor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"jobKeywords": ["RevOps"], "locations": ["United States"], "dateRange": "7d", "maxJobs": 25}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/linkedin-hiring-signal-company-monitor").call(run_input={"jobKeywords": ["RevOps"], "locations": ["United States"], "dateRange": "7d", "maxJobs": 25})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / TypeScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/linkedin-hiring-signal-company-monitor').call({"jobKeywords": ["RevOps"], "locations": ["United States"], "dateRange": "7d", "maxJobs": 25});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Long runs: start them with POST /v2/acts/technicaldost~linkedin-hiring-signal-company-monitor/runs and fetch the dataset when the run finishes, or receive a webhook.

Related Actors

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• Brazil CNPJ Company Lookup - Receita Federal — Look up Brazilian companies you already have a CNPJ for. Public RFB company record: legal name, CNAE, status
• Company ESG & Sustainability Data Extractor — Extract ESG and sustainability metrics, carbon commitments, and net-zero targets from public company sustainab
• Company Tech-Stack & Domain Intelligence API — Domain to company tech stack, founded year, headcount, industry, funding, socials & logo. Open-data company en

FAQ

Can I use LinkedIn Hiring Signal Company Monitor with AI agents like Claude or ChatGPT?

Yes. Connect the Apify MCP server with ?tools=technicaldost/linkedin-hiring-signal-company-monitor (see above) and the agent can run the Actor and read its results on its own.

Can I call LinkedIn Hiring Signal Company Monitor from my own code?

Yes. Use the REST API, or the official Python and JavaScript clients shown above. Results are available as JSON, CSV, Excel, XML or HTML.

How do I run it on a schedule?

Save your input as a task in Apify Console and add a schedule (for example, daily). Use webhooks or integrations to send each run's results onward.

Is it legal to use this Actor?

It works with publicly available data. Make sure your use complies with the source website's terms and with data protection laws such as GDPR, especially for personal data.

Something doesn't work or I need a feature. What should I do?

Open an issue in the Issues tab on this Actor's page with an example input, and we'll look into it.