Company Careers Job Scraper

hipersoft/company-jobs-scraper

Scrape open jobs directly from company career pages powered by Greenhouse, Lever and Ashby — the biggest applicant-tracking systems. Give it company board names and get every job with title, location, department, type, remote flag, apply URL and full description.

Run this scraper →See the API call

Total users

Monthly users

Total runs

119

Per job scraped

$0.0096

Last rebuilt

Oct 28, 2026

Overview

Company Careers Job Scraper pulls open roles straight from companies' own career pages. Most modern companies run their careers on Greenhouse, Lever or Ashby — give this scraper a list of company board names and get clean, structured jobs with title, location, department, employment type, apply link and full description. Export to JSON, CSV, Excel or XML. Fast and reliable, with no login or setup. Perfect for job boards and aggregators, recruiting and sourcing, talent-market research and sales prospecting into hiring companies.

Company Careers Job Scraper input — company board tokens, platform and description toggle in the Apify Console

What does the Company Careers Job Scraper do?

It reads the career boards that companies publish on Greenhouse, Lever and Ashby and returns every open role as a structured record. Add as many companies as you like and export a fresh jobs dataset for your aggregator, CRM or research pipeline.

What data can you scrape from company career pages?

Data point	Description
Role	`title`, `department`, `team`, `employmentType`
Location	`location`, `remote`
Links	`url`
Dates	`publishedAt`, `updatedAt`
Source	`company`, `platform`, `jobId`
Content	`description`

What you get

Each open role is one dataset record. Export the full table to JSON, CSV, Excel or XML.

Company Careers Job Scraper output example — job rows with title, location, department and dates as structured JSON

{
  "company": "stripe",
  "platform": "greenhouse",
  "jobId": "7954688",
  "title": "Account Executive, AI Sales",
  "location": "San Francisco, CA",
  "remote": false,
  "department": "Sales",
  "team": "Go To Market",
  "employmentType": "FullTime",
  "url": "https://stripe.com/jobs/search?gh_jid=7954688",
  "publishedAt": "2026-06-20T09:00:00-04:00",
  "updatedAt": "2026-06-26T17:05:44-04:00",
  "description": "About the team..."
}

Output schema

Field	Type	Description
`company`	string	The company board token the role belongs to.
`platform`	string	Which career system served the role (greenhouse, lever or ashby).
`jobId`	string	The role's identifier within that career system.
`title`	string	Job title.
`location`	string	Location string for the role.
`remote`	boolean	Whether the role is flagged as remote.
`department`	string	Department the role sits in, when provided.
`team`	string	Sub-team within the department, when provided.
`employmentType`	string	Employment type such as full-time, contract or intern, when available.
`url`	string (URL)	Direct link to apply to the role.
`publishedAt`	string (ISO date)	When the role was first posted.
`updatedAt`	string (ISO date)	When the role was last updated.
`description`	string	Full job description text (when Include full job description is enabled).

Use cases

Power a job board or aggregator with fresh roles from target companies.
Source candidates by tracking which teams a company is hiring for.
Research the talent market and hiring trends across an industry.
Prospect into companies that are actively hiring for sales or partnerships.
Monitor a competitor's open roles and headcount growth over time.

How to scrape company career pages

Add the Company Careers Job Scraper to your Apify account and open its input.
Enter company board tokens (usually the company name) or career URLs under companies, one per line.
Set platform to auto, or pin it to Greenhouse, Lever or Ashby.
Toggle includeDescription if you want the full job text, then click Run.
Export the results as JSON, CSV, Excel or XML, or pull them via the Apify API.

Input

{
  "companies": ["stripe", "ramp", "netflix"],
  "platform": "auto",
  "includeDescription": false
}

Field	Description
`companies`	Company board tokens (usually the company name) or career URLs, one per line.
`platform`	`auto` tries Greenhouse → Lever → Ashby for each company, or pick one.
`includeDescription`	Include the full job description text.
`maxConcurrency`	Number of companies fetched in parallel.
`proxyConfiguration`	Optional proxy settings for the run.

Finding a company's board token

It's usually the company name (stripe, ramp). Or copy it from their careers URL: boards.greenhouse.io/airbnb, jobs.lever.co/netflix, jobs.ashbyhq.com/ramp.

Need more jobs data?

Remote Jobs Aggregator — five remote boards merged and de-duplicated.
Dice Jobs Scraper — US tech jobs from Dice with salaries.
Y Combinator Companies Scraper — the full YC startup directory, including who's hiring.
Reed Job Scraper — UK jobs from Reed.co.uk with salaries and descriptions.

FAQ

Do I need accounts or API keys? No. Just add company board tokens or career URLs and run — no login or API key.

How many jobs can I get per run? It returns every open role each company currently lists. Add more companies to widen the run, and use maxConcurrency to control how many boards are fetched in parallel.

Can I filter by company or platform? Yes. Provide company board tokens or career URLs in companies, and set platform to auto or pin it to a single platform.

What export formats are supported? JSON, CSV, Excel and XML, plus programmatic access through the Apify API.

How does billing work? You pay per item you get, so cost scales with the number of roles you actually collect. See the Pricing tab for current rates.

Can I connect this to other tools? The Company Careers Job Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is scraping company career pages legal? The scraper returns only public job data these career pages already publish. You are responsible for reviewing the relevant terms for your use case.

Notes

Original clean-room implementation. Returns only public job data companies publish on their career pages. Not affiliated with Greenhouse, Lever or Ashby. A company appears empty if it doesn't use one of these three systems or uses a different board token — check its careers URL for the right token.

Input

Field	Type	Description
`companies` Company boards	array	Company board tokens or ATS URLs — e.g. "stripe", "ramp", "netflix", or "https://boards.greenhouse.io/airbnb". One per line. The board token is usually the company name.
`platform` ATS platform	string · auto, greenhouse, lever, ashby	Which system to query. "Auto" tries Greenhouse, then Lever, then Ashby for each company. Default: `"auto"`
`includeDescription` Include full job description	boolean	Fetch and include the full job description text (larger output, slightly slower). Default: `false`
`maxConcurrency` Concurrency	integer	How many company boards to fetch in parallel. Default: `8`
`proxyConfiguration` Proxy configuration	object	Proxy configuration. Leave the default — it is tuned for reliable results. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~company-jobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "companies": [
    "stripe",
    "ramp"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/company-jobs-scraper").call(run_input={
    "companies": [
        "stripe",
        "ramp"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/company-jobs-scraper').call({
  "companies": [
    "stripe",
    "ramp"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped One job scraped from a company's Greenhouse/Lever/Ashby board with title, location, department, type and apply URL	$0.0096	$0.0048

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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