AI Hiring Signals

Detect AI hiring activity from LinkedIn company job listings and turn open roles into company-level market signals.

This Actor is designed for sales, recruiting, strategy, market intelligence, and investment research teams that want to identify which companies are building AI, machine learning, data science, LLM, agentic AI, and AI-adjacent teams.

What You Get

For each LinkedIn company input, the Actor analyzes available job listings and returns:

• One ai_hiring_signal row with the company-level summary

• One ai_hiring_job row for every analyzed job listing, with isAiJob showing whether the job was classified as AI-related

• Total jobs analyzed for the company

• AI jobs detected from job titles, functions, and skills

• AI hiring share

• AI hiring signal strength: NONE, LOW, MEDIUM, or HIGH

• Detected signals such as AI_HIRING_PRESENT, AI_HIRING_CONCENTRATION, RECENT_AI_HIRING, AI_ENGINEERING_HIRING, DATA_SCIENCE_HIRING, and AI_PRODUCT_HIRING

• AI keywords, role categories, top AI job titles, locations, seniority, and job-level evidence

• Full analyzed job rows with title, URL, location, date, seniority, function, skills, and AI flags

• Context fields for engineering, product, and go-to-market hiring

• Clean error rows for inputs that could not be analyzed

Use Cases

• Identify companies actively hiring AI and data teams
• Monitor AI adoption signals across target accounts
• Track competitors' AI hiring momentum
• Build monthly AI hiring signal datasets
• Enrich CRM, market maps, and investment research workflows

Input

Add one or more LinkedIn company IDs or LinkedIn company jobs/search URLs. You can also edit the AI job keyword list used to flag jobs as AI-related.

Example

{
  "companyInputs": [
    "30898036"
  ],
  "aiJobKeywords": [
    "AI",
    "Artificial Intelligence",
    "Machine Learning",
    "ML",
    "Generative AI",
    "GenAI",
    "LLM",
    "Data Science",
    "Data Scientist",
    "Prompt Engineer",
    "AI Agent"
  ]
}

You can also use a LinkedIn jobs/search URL:

{
  "companyInputs": [
    "https://www.linkedin.com/jobs/search/?f_C=30898036"
  ]
}

AI job keywords

aiJobKeywords controls the isAiJob flag. A job is marked isAiJob=true when its title, function, or skills contain at least one configured term. If you omit this field, the Actor uses its default AI keyword list. If you provide the field, your list defines the matching criteria for that run.

Output

The default dataset view is results.

The dataset includes:

• ai_hiring_signal: company-level summary row
• ai_hiring_job: one row per analyzed job listing, including isAiJob, AI keywords, and AI role categories
• scrape_error: failed inputs with failureStage and errorMessage

Results can be exported from Apify as JSON, CSV, Excel, XML, RSS, or HTML.

Pricing

When pay-per-event monetization is enabled, the Actor charges one event for each delivered ai_hiring_job row.

For example, if one company has 163 available job listings, the Actor returns one company summary row plus 163 job rows, and charges 163 ai-job-analyzed events. Failed inputs and companies with no returned jobs are not charged.

Notes

• Field coverage depends on what is available for the company's LinkedIn job listings.
• AI classification is based on the configured aiJobKeywords matched against job title, job function, and skills. This avoids over-counting generic company boilerplate that mentions AI in every job description.
• The Actor returns both company-level AI hiring signals and the job-level rows used to support those signals.