Job Postings Scraper & Hiring Watch: Greenhouse, Lever, Ashby avatar

Job Postings Scraper & Hiring Watch: Greenhouse, Lever, Ashby

Pricing

from $2.00 / 1,000 company checkeds

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Job Postings Scraper & Hiring Watch: Greenhouse, Lever, Ashby

Job Postings Scraper & Hiring Watch: Greenhouse, Lever, Ashby

Watch target companies' own job boards (Greenhouse, Lever and Ashby public job APIs) and get new jobs, removed jobs and hiring surges since the last run. A classic sales buying signal, without LinkedIn scraping.

Pricing

from $2.00 / 1,000 company checkeds

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Developer

Tudor Lane

Tudor Lane

Maintained by Community

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a day ago

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What it does: Watches your target companies' own job boards (Greenhouse, Lever and Ashby public job APIs) and reports new jobs, closed jobs, hiring surges and slowdowns since the last run.

Who it's for: Sales and account-based-marketing agents (hiring = budget = buying signal), recruiters, investors tracking growth, competitive intelligence.

Price: Pay per event: $0.002 per company checked + $0.005 per new job found. Baseline runs are never charged for jobs. No monthly fee.

Why it's different

Job scrapers dump everything; this watches specific companies and tells you only what changed. It reads the official public job-board APIs that Greenhouse, Lever and Ashby provide for publishing jobs, so it's fast and clean, with no LinkedIn or Indeed scraping.

How it works

  1. First run = baseline. Everything currently found is saved to your named key-value store company-hiring-watch under your watchlistId (also as the run's SNAPSHOT record). You see the current results in each row, but no new-job charges.
  2. Every later run reports only what is new since the last run (changed, changes, change_types).
  3. If a source is down, that row gets an error and the old snapshot is kept, so nothing is missed or double-counted.

Input

  • companies: a board slug ("stripe", auto-detects the ATS), "greenhouse:stripe", "lever:palantir", "ashby:openai", a jobs page URL (https://jobs.lever.co/palantir), or an object {"company": "Monzo", "board": "monzo", "locations": ["London"], "titleKeywords": ["engineer"]}.
  • Optional global filters: titleKeywords, locations, departments.

Signals: new_job (title, location, department, link) · jobs_removed · hiring_surge (new jobs ≥ 5 and ≥ 15% of open roles) · hiring_slowdown.

Quick example

Input

{"companies": ["greenhouse:stripe", "ashby:openai", "palantir"], "titleKeywords": ["sales", "account"], "watchlistId": "targets"}

Row: {"key": "ashby:openai", "open_jobs": 809, "top_departments": {"Go To Market": 150, "Applied AI": 120}, "changes": ["New job: Account Director (London, Go To Market) https://jobs.ashbyhq.com/..."]}

Use it from AI agents (MCP) and code

  • Apify MCP server: add https://mcp.apify.com/?tools=tudorlane/company-hiring-watch to Claude, Cursor, ChatGPT connectors, VS Code or any MCP client. The Actor appears as a tool the model can call.
  • REST (sync): POST https://api.apify.com/v2/acts/tudorlane~company-hiring-watch/run-sync-get-dataset-items?token=YOUR_TOKEN with the input JSON as the body.
  • Schedule it: Apify Console > Schedules > daily, with the same watchlistId. Pipe new items to Slack, email, a webhook, n8n, Make or Zapier.
  • Stateless agents: pass the previous run's SNAPSHOT record as previousSnapshot instead of relying on the saved watchlist.

FAQ

How do I find a company's board? Open their careers page: links to boards.greenhouse.io/<slug>, jobs.lever.co/<slug> or jobs.ashbyhq.com/<slug> give the slug. Or just try the company name.

Workday / SmartRecruiters? Not yet. Ask on the Issues tab if you need them.

Support? Open an issue on the Actor's Issues tab.


Keywords: job posting monitor, hiring signals API, Greenhouse API, Lever API, Ashby jobs, new job alerts, buying signals, sales intelligence, recruiting intelligence, MCP tool, Apify Actor, AI agent tool.

Search terms: job postings scraper, jobs API, careers page scraper, Greenhouse jobs API, Lever jobs API, Ashby jobs, hiring signals, Indeed jobs alternative (this tool does not scrape Indeed or LinkedIn)