# Hiring Signal Intelligence — Job Growth & Tech Hiring Tracker (`ramsford/hiring-signal-intelligence`) Actor

Track any company's hiring activity across LinkedIn, Indeed, Greenhouse, Lever, and Ashby. Get department breakdowns, tech-stack signals, seniority mix, geographic expansion, and AI-written hiring narratives. Pay per company report.

- **URL**: https://apify.com/ramsford/hiring-signal-intelligence.md
- **Developed by:** [Don Johnson](https://apify.com/ramsford) (community)
- **Categories:** Jobs
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

$1,000.00 / 1,000 hiring signal intelligence reports

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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

## Hiring Signal Intelligence Agent — Track Job Growth, Dept Expansion & Tech Hiring Across Any Company

**Hiring signals are buying signals.** This Actor tracks any company's hiring activity across **five sources** — LinkedIn Jobs, Indeed, Greenhouse, Lever, and Ashby — and returns a structured intelligence report with department breakdowns, tech-stack signals, geographic expansion, and an AI-written narrative.

---

### The Problem

When a company is hiring 5 Kubernetes engineers, they are buying observability tools. When they are hiring 10 EMEA AEs, they are expanding into Europe. When their hiring drops 40% month-over-month, they are tightening.

You can see all of this in their job postings — but it is spread across LinkedIn, Indeed, and **three different ATS systems** (Greenhouse, Lever, Ashby). Every other Apify Actor covers exactly **one** source. This one covers all five.

---

### What You Get Per Company Report

- **Total open roles + velocity** — change vs the last run, so you see acceleration or contraction over time
- **Department breakdown** — Engineering, Sales, Marketing, Product, Operations, Data, etc.
- **Tech-stack signals** — Python, Kubernetes, React, AWS, LLM, Snowflake, and 60+ more keywords
- **Geographic expansion signals** — new regions being staffed (EMEA, APAC, LATAM, remote)
- **Seniority mix** — IC vs Manager vs Director vs VP+
- **AI-written narrative** — plain-English synthesis ("Acme is aggressively building EMEA sales, doubling its data team, and slowing US hiring")
- **New roles since last run** — the diff that matters for sales/competitive intel
- **Sample open roles** — title + location + department + seniority + apply URL

---

### Why This Actor vs. Alternatives

| Alternative | Gap |
|---|---|
| LinkedIn Jobs scraper | LinkedIn only — misses 60% of postings on ATS boards |
| Greenhouse/Lever-only scrapers | One ATS — misses companies on other ATSes |
| Indeed scraper | Indeed only — no tech-stack or department synthesis |
| Manual research | Hours per company, no diff over time, no synthesis |
| HG Insights / TheirStack | $20k+/year enterprise data — same signal at 1/100th the cost |

**The only Apify Actor that monitors hiring across 5 distinct sources and delivers a written narrative — not just a CSV of job titles.**

---

### Who This Is For

- **Sales teams** — hiring is the strongest buying signal. Run on your target accounts before every outbound campaign.
- **Consultants** — see who is spending on what, before competitors. Match your service offer to a company's actual investment trajectory.
- **MSPs and agencies** — expansion = new client opportunity. Spot growth before the press release.
- **Recruiters** — find hot markets and companies hiring your specialty.
- **Investors and analysts** — hiring data is leading-indicator data. See growth signals before public filings.

---

### How It Works

1. You provide a list of companies. For each company, give any subset of job-board URLs (LinkedIn, Indeed, Greenhouse, Lever, Ashby).
2. The Actor pulls jobs from each source — using public ATS JSON APIs (Greenhouse/Lever/Ashby) where available and Playwright scraping for LinkedIn and Indeed.
3. Jobs are deduplicated across sources, then classified by department, seniority, region, and tech-stack keywords.
4. A snapshot from the previous run is loaded; the diff produces velocity, new roles, and department deltas.
5. A plain-English narrative is generated and a full markdown report is built.
6. Output goes to the dataset (JSON + readable markdown) and one PPE event is charged.

---

### Input

```json
{
  "companies": [
    {
      "name": "Acme Corp",
      "linkedinUrl": "https://www.linkedin.com/company/acme/",
      "indeedUrl": "https://www.indeed.com/cmp/acme-corp",
      "greenhouseUrl": "https://boards.greenhouse.io/acme",
      "leverUrl": "https://jobs.lever.co/acme",
      "ashbyUrl": "https://jobs.ashbyhq.com/acme"
    }
  ],
  "maxJobsPerSource": 100,
  "reportStyle": "full"
}
````

Only `name` is required. Provide as many of the five URLs as you have — more sources = stronger signal. The Actor handles missing sources gracefully.

***

### Sample Output

```markdown
## Hiring Signal Intelligence Report — Acme Corp
Generated: 2026-05-15T18:42:00Z

### Headline
Acme Corp has 47 open roles concentrated in Engineering (18), Sales (12), Data & ML (6).
Hiring acceleration: 31 → 47 roles (+16 since last run). Departments adding fastest: Sales (+7), Engineering (+4), Data & ML (+3). Geographic expansion signal: EMEA (+5), APAC (+2). Tech-stack signal from job descriptions: kubernetes (8), python (12), aws (10), llm (4), snowflake (3). Leadership-heavy mix: 19% of openings are director-and-above — often signals a scaling org building its management layer.

### Open Roles
- Total open roles detected: **47**
- Velocity vs last run: **+16** (31 → 47)

### Sources
- greenhouse: 28 jobs
- lever: 0 jobs — No leverUrl or token not parseable.
- ashby: 0 jobs — No ashbyUrl or token not parseable.
- linkedin: 14 jobs
- indeed: 8 jobs

### Department Breakdown
- Engineering: 18 (+4 vs last)
- Sales: 12 (+7 vs last)
- Data & ML: 6 (+3 vs last)
- Marketing: 4
- Product: 3
- Operations & Finance: 2 (-1 vs last)

### Tech-Stack Signals
- python: 12
- aws: 10
- kubernetes: 8
- react: 7
- snowflake: 3
- llm: 4

### Geographic Mix
- United States: 22
- EMEA: 12 (+5)
- Remote: 8
- APAC: 3 (+2)

### Seniority Mix
- Mid-level / IC: 24
- Senior: 13
- Manager / Lead: 6
- Director / Head: 3
- C-Suite / VP: 1

### New Roles Since Last Run
- Head of EMEA Sales
- Senior Data Engineer (Snowflake)
- Staff ML Engineer
- Account Executive - DACH
- Solutions Architect - APAC

### Sample Open Roles
- Senior Software Engineer, Platform
- Account Executive - UK
- Staff Data Scientist
- ...
```

***

### Pricing

**$1.00 per company hiring intelligence report.** Pay-per-event — no subscription, no minimums.

Comparison: TheirStack / HG Insights enterprise = $15k–$40k/year for the same signal class. Five reports a week with this Actor = ~$20/month.

***

### Use Cases

#### Pre-Outbound Sales Intel

Before a sales campaign, run this on 20 target accounts. Filter to companies with `velocity > +5` and you have an outbound list that converts 3–5× higher than cold lists.

#### Competitive Hiring Watch

Run weekly on your top 5 competitors. When their `Sales` department grows 30% in a month, expect a market push next quarter.

#### Geographic Expansion Detection

Track `geographicMix` deltas. New `EMEA` or `APAC` headcount = a market entry signal 6–12 months before it appears in PR.

#### Tech-Stack Migration Watch

Track `techStackSignals` over time. A surge in "kubernetes" or "snowflake" hires reveals platform migrations that are buying signals for adjacent tools.

#### Funding-Round Anticipation

Hiring acceleration of +15 roles per month frequently precedes a publicly-announced funding round by 60–90 days.

***

### FAQ

**Do I need all five URLs per company?**
No. Provide whichever you have. The Actor degrades gracefully — sources without a URL are skipped and noted.

**How does it handle LinkedIn and Indeed anti-bot?**
The Actor uses Playwright with realistic browser fingerprint, scrapes only public listings, and respects timeouts. Some runs may fail for those sources due to anti-bot — ATS sources (Greenhouse/Lever/Ashby) are far more reliable since they expose public JSON APIs.

**How fresh is the data?**
Live on every run. ATS API data is real-time. LinkedIn/Indeed reflect what those sites are publicly showing at scrape time.

**Can I run this on a schedule?**
Yes — use Apify's built-in scheduler to run daily or weekly. The Actor stores a snapshot per company so each run produces velocity and delta against the prior run.

**What if a company is on a different ATS (Workday, BambooHR, etc.)?**
Coverage today is LinkedIn + Indeed + Greenhouse + Lever + Ashby — which together cover the majority of US/EU tech and SaaS hiring. Additional ATSes are on the roadmap; open an issue or message us if you need one.

***

[Run your first hiring intelligence report →](https://apify.com/ramsford/hiring-signal-intelligence)

# Actor input Schema

## `companies` (type: `array`):

List of company objects. Each needs at minimum: name. Provide any subset of: linkedinUrl, indeedUrl, greenhouseUrl, leverUrl, ashbyUrl. More sources = stronger signal.

## `maxJobsPerSource` (type: `integer`):

Maximum number of job postings to collect from each source per company. Higher = richer signals, longer run time.

## `reportStyle` (type: `string`):

'full' produces a detailed markdown report. 'brief' produces a bullet-point summary.

## Actor input object example

```json
{
  "companies": [
    {
      "name": "Acme Corp",
      "linkedinUrl": "https://www.linkedin.com/company/acme/",
      "indeedUrl": "https://www.indeed.com/cmp/acme-corp",
      "greenhouseUrl": "https://boards.greenhouse.io/acme",
      "leverUrl": "https://jobs.lever.co/acme",
      "ashbyUrl": "https://jobs.ashbyhq.com/acme"
    }
  ],
  "maxJobsPerSource": 100,
  "reportStyle": "full"
}
```

# 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("ramsford/hiring-signal-intelligence").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("ramsford/hiring-signal-intelligence").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 ramsford/hiring-signal-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ramsford/hiring-signal-intelligence",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Hiring Signal Intelligence — Job Growth & Tech Hiring Tracker",
        "description": "Track any company's hiring activity across LinkedIn, Indeed, Greenhouse, Lever, and Ashby. Get department breakdowns, tech-stack signals, seniority mix, geographic expansion, and AI-written hiring narratives. Pay per company report.",
        "version": "0.1",
        "x-build-id": "c2qm4oPqpcGCoChuW"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/ramsford~hiring-signal-intelligence/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-ramsford-hiring-signal-intelligence",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/ramsford~hiring-signal-intelligence/runs": {
            "post": {
                "operationId": "runs-sync-ramsford-hiring-signal-intelligence",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/ramsford~hiring-signal-intelligence/run-sync": {
            "post": {
                "operationId": "run-sync-ramsford-hiring-signal-intelligence",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "companies"
                ],
                "properties": {
                    "companies": {
                        "title": "Companies",
                        "type": "array",
                        "description": "List of company objects. Each needs at minimum: name. Provide any subset of: linkedinUrl, indeedUrl, greenhouseUrl, leverUrl, ashbyUrl. More sources = stronger signal."
                    },
                    "maxJobsPerSource": {
                        "title": "Max jobs per source",
                        "minimum": 5,
                        "maximum": 500,
                        "type": "integer",
                        "description": "Maximum number of job postings to collect from each source per company. Higher = richer signals, longer run time.",
                        "default": 100
                    },
                    "reportStyle": {
                        "title": "Report style",
                        "enum": [
                            "full",
                            "brief"
                        ],
                        "type": "string",
                        "description": "'full' produces a detailed markdown report. 'brief' produces a bullet-point summary.",
                        "default": "full"
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```