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Hiring Signals Scraper (Greenhouse, Lever, Ashby, Workable)

Scrape company job postings and hiring signals from Greenhouse, Lever, Ashby and Workable job boards — one row per job, or one hiring summary per company.

Run Hiring Signals Scraper (Greenhouse, Lever, Ashby, Workable) on Apify →

Read the step-by-step guide

Pricing

Apify planPer resultPer 1,000
Free plan$0.002$2
Starter$0.0016$1.60
Scale$0.0014$1.40
Business$0.0012$1.20
Enterprise$0.0012$1.20
Enterprise+$0.0012$1.20

Primary event rates from a catalog snapshot; this is not the total price of a run. Additional charge events and Actor Start fees may apply; start fees can scale with memory. Check the Actor's Pricing tab on Apify for all events, conditions and current plan-specific rates, and set a maximum run budget before starting.

Sample output

Archived example · 15 days old. This is a snapshot, not current data.run iVOtSP7mYoUdXsYbo · 2026-10-03
{
  "company": "apify",
  "companyName": null,
  "ats": "ashby",
  "boardUrl": "https://jobs.ashbyhq.com/apify",
  "totalJobs": 11,
  "remoteJobs": 11,
  "jobsByDepartment": {
    "Engineering": 8,
    "GTM": 3
  },
  "jobsByLocation": {
    "Prague": 8,
    "Czechia": 3
  },
  "newestPostedAt": "2026-10-01T12:40:02.575Z",
  "oldestPostedAt": "2025-12-18T14:24:45.284Z",
  "jobsPostedLast30Days": 2,
  "topTitles": [
    "Senior Backend Engineer, Billing",
    "Fullstack Engineer, Store",
    "Performance Marketing Lead"
  ],
  "hiringVelocity": "low",
  "error": null,
  "scrapedAt": "2026-10-03T15:21:16.160Z"
}

Call from code

Use the existing catalog input below as a starting point. Review the tool's input form on Apify before running it.

import json
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("webdatatools/hiring-signals").call(run_input=json.loads("{\n    \"companies\": [\n        \"stripe\",\n        \"https://jobs.lever.co/spotify\",\n        \"https://jobs.ashbyhq.com/ashby\"\n    ],\n    \"outputMode\": \"jobs\",\n    \"maxJobsPerCompany\": 200\n}"))

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('webdatatools/hiring-signals').call({
    "companies": [
        "stripe",
        "https://jobs.lever.co/spotify",
        "https://jobs.ashbyhq.com/ashby"
    ],
    "outputMode": "jobs",
    "maxJobsPerCompany": 200
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
curl -X POST "https://api.apify.com/v2/acts/webdatatools~hiring-signals/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["stripe","https://jobs.lever.co/spotify","https://jobs.ashbyhq.com/ashby"],"outputMode":"jobs","maxJobsPerCompany":200}'

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