datagrit › Jobs & salaries › Career Site Jobs Aggregator - ATS Salary Data

Career Site Jobs Aggregator - ATS Salary Data

Open jobs from Greenhouse, Lever, Ashby, Workday, Workable, SmartRecruiters, Recruitee and Personio in one schema with normalized salaries.

Give it a list of companies and it returns their open jobs straight from each company's own applicant tracking system (ATS): Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio and Workday, all in one schema. Every posting comes with a structured salary (min, max, currency, period and yearly equivalents) whenever the employer publishes one, either in the ATS pay fields or as a pay range in the job description. It is built for recruiters, job boards, sales teams tracking hiring signals and anyone who monitors a fixed list of employers.

Who is it for?

• Job boards and newsletters that aggregate roles from a curated list of companies and want only the new ones each day.
• Recruiters and sourcers who follow target companies and filter by title, location, remote and minimum yearly pay.
• Sales and market research teams that use hiring activity and salary bands as signals.
• Compensation analysts who need published pay ranges across many employers as numbers in one currency and period.

Is it legal to scrape this data?

The Actor reads only the public job board feeds that these ATS vendors offer to employers for publishing open roles. It does not log in, bypass access controls or collect candidate data. Job descriptions can contain personal data such as a recruiter name, so if you request them you are responsible for handling them in line with applicable data protection law. This description is not legal advice.

Output fields

Every result is one flat record, so it drops straight into a spreadsheet, a database or a CRM.

Sample record

{
  "company": "Robinhood",
  "companySlug": "robinhood",
  "ats": "greenhouse",
  "boardUrl": "https://job-boards.greenhouse.io/robinhood",
  "jobId": "7489697",
  "requisitionId": "JR108060",
  "title": "Engineering Manager, Credit Cards & Banking",
  "department": "Engineering",
  "team": "Mobile",
  "location": "Menlo Park, CA; New York, NY",
  "locations": [
    "New York, NY (HQ)",
    "Remote (US)"
  ],
  "workplaceType": "hybrid",
  "employmentType": "full_time",
  "postedAt": "2026-09-25T17:03:21.000Z",
  "updatedAt": "2026-09-29T08:35:46.000Z",
  "daysSincePosted": 5,
  "url": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application",
  "hasSalary": true,
  "salaryMin": 180000,
  "salaryMax": 270000,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "salaryAnnualMin": 180000,
  "salaryAnnualMax": 270000,
  "salaryCurrencies": [
    "USD",
    "CAD"
  ],
  "salarySource": "ats",
  "salaryText": "Zone 1 (Menlo Park, CA; New York, NY): 180K-270K USD/year",
  "equityMentioned": true,
  "bonusMentioned": false,
  "description": null,
  "found": true,
  "scrapedAt": "2026-10-01T08:00:00.000Z"
}

Input

Call it from your code

Run the Actor and get the results in one request. Replace YOUR_APIFY_TOKEN with the token from your Apify account settings.

curl -X POST "https://api.apify.com/v2/acts/datagrit~career-site-jobs-aggregator/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["https://jobs.ashbyhq.com/ramp","robinhood","https://greatminds.recruitee.com"],"onlyWithSalary":true,"maxItems":50}'

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datagrit/career-site-jobs-aggregator').call({
  "companies": [
    "https://jobs.ashbyhq.com/ramp",
    "robinhood",
    "https://greatminds.recruitee.com"
  ],
  "onlyWithSalary": true,
  "maxItems": 50
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("datagrit/career-site-jobs-aggregator").call(run_input={
  "companies": [
    "https://jobs.ashbyhq.com/ramp",
    "robinhood",
    "https://greatminds.recruitee.com"
  ],
  "onlyWithSalary": True,
  "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[0] if items else None)

Frequently asked questions

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