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Job Posting Drift Monitor

Pricing

Pay per usage

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Job Posting Drift Monitor

Job Posting Drift Monitor

Monitor public Greenhouse, Lever, and Ashby career boards and detect job-posting drift: new roles, removed roles, title/department/location changes, and description hash changes.

Pricing

Pay per usage

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Developer

Stephen Coulson

Stephen Coulson

Maintained by Community

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Monthly active users

3 days ago

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What does Job Posting Drift Monitor do?

Job Posting Drift Monitor turns public company job boards into structured hiring-signal data. Give it Greenhouse, Lever, or Ashby board slugs and it returns clean rows showing which companies are hiring for which functions, where, when, and with what signal strength.

Use it for B2B sales, recruiting, market intelligence, portfolio monitoring, and competitor tracking. It runs on Apify, so you can schedule it, call it by API, export results to CSV/Excel/JSON, and connect it to tools like Google Sheets, Zapier, Make, and your CRM.

Why use Job Posting Drift Monitor?

Hiring is one of the clearest public signals that a company is growing, entering a new market, investing in a function, or feeling operational pressure.

This Actor helps you answer questions like:

  • Which target accounts are hiring sales, operations, finance, facilities, or growth roles?
  • Which competitors are expanding in a geography?
  • Which portfolio companies are increasing or reducing hiring intensity?
  • Which job posts suggest budget, new initiatives, or procurement opportunities?

Unlike LinkedIn scraping, this Actor focuses on public career-board JSON endpoints. No cookies, login, or personal enrichment are required.

How to use Job Posting Drift Monitor

  1. Open the Actor on Apify.
  2. Add one or more companies in the input field.
  3. Choose the provider: greenhouse, lever, or ashby.
  4. Add the public board slug, for example stripe for Greenhouse.
  5. Optionally add keywords such as sales, operations, finance, or facilities.
  6. Run the Actor.
  7. Download the dataset in JSON, CSV, Excel, HTML, or XML, or connect it to an integration.

Input

Example input:

{
"companies": [
{ "name": "Stripe", "provider": "greenhouse", "slug": "stripe", "domain": "stripe.com" },
{ "name": "ExampleCo", "provider": "ashby", "slug": "exampleco", "domain": "example.com" }
],
"keywords": ["sales", "operations", "finance", "growth", "facilities"],
"maxJobsPerCompany": 200,
"minScore": 0
}

Input fields

FieldDescription
companiesList of public career boards to scan. Each item needs provider and slug.
providerSupported values: greenhouse, lever, ashby.
slugPublic board slug used by the provider.
domainOptional company domain for CRM-friendly output.
keywordsTerms used to tag and score roles.
maxJobsPerCompanySafety cap per company board.
minScoreEmit only roles scoring at least this value.

Output

The Actor outputs one row per job.

{
"company": "Stripe",
"domain": "stripe.com",
"provider": "greenhouse",
"board_slug": "stripe",
"job_id": "7954688",
"title": "Account Executive, AI Sales",
"department": "AI GTM Strategy & Solutions",
"location": "London",
"posted_date": "2026-06-26T17:05:44-04:00",
"seniority": "senior",
"keywords_matched": ["sales", "growth"],
"hiring_signal_score": 65,
"source_url": "https://stripe.com/jobs/search?gh_jid=7954688",
"detected_at": "2026-07-04T01:18:25Z"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data table

FieldMeaning
companyCompany name supplied in input.
domainCompany domain supplied in input.
providerCareer-board provider.
titleJob title.
departmentDepartment/team if available.
locationJob location if available.
posted_dateProvider timestamp if available.
senioritySimple seniority bucket inferred from title.
keywords_matchedInput keywords found in the job text.
hiring_signal_score0-100 signal score based on keyword matches, seniority, and data richness.
source_urlPublic job URL.

Pricing and cost estimation

This Actor is lightweight. It uses public JSON endpoints and does not launch a browser, use proxies, or perform authenticated scraping.

Typical runs should be inexpensive. Your final Apify cost depends mainly on:

  • number of companies scanned;
  • number of jobs per company;
  • run frequency;
  • selected memory and timeout settings.

Start with 10-25 companies, inspect results, then scale.

Tips and advanced options

  • Use minScore to filter to stronger buying or expansion signals.
  • Use narrow keyword lists for better signal quality, e.g. facilities, property, operations for FM/property suppliers.
  • Schedule weekly runs to monitor changes over time.
  • Export to CSV for CRM import or connect the dataset through Apify integrations.

FAQ, disclaimers, and support

Does this scrape LinkedIn? No. It intentionally avoids LinkedIn, cookies, and authenticated pages.

Which providers are supported? Greenhouse, Lever, and Ashby public job boards.

Can you add another ATS provider? Yes. Open an issue with the provider name and example public board URLs.

Is this legal? This Actor reads public career-board endpoints. You are responsible for using the data in accordance with applicable laws, website terms, and privacy obligations.

For bugs, feature requests, or custom versions, use the Issues tab on Apify.