# Company Career Page Jobs Scraper (Greenhouse, Lever, Ashby) (`pavel.tashev/company-jobs-scraper`) Actor

Get every open job from company career pages: enter company websites and it finds their Greenhouse, Lever, Ashby, Workable, Recruitee or Personio job board, then returns clean job data with salaries and locations.

- **URL**: https://apify.com/pavel.tashev/company-jobs-scraper.md
- **Developed by:** [Pavel Tashev](https://apify.com/pavel.tashev) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 job listing saveds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### What does Company Career Page Jobs Scraper do?

**Company Career Page Jobs Scraper collects every open job from company career pages.** Enter company websites such as `stripe.com` or `notion.so`, and it finds each company's job board on **[Greenhouse](https://www.greenhouse.com), [Lever](https://www.lever.co), [Ashby](https://www.ashbyhq.com), [Workable](https://www.workable.com), [Recruitee](https://recruitee.com) or [Personio](https://www.personio.com)**, then returns clean, structured job data: title, department, team, locations, remote flag, employment type, **salary ranges when published**, full description, posting date and the job link.

No board names or API keys needed: paste a list of companies and click Start. Because it runs on the Apify platform, you get API access, scheduling, webhooks, integrations (Make, Zapier, n8n, Google Sheets) and run monitoring.

### Why use Company Career Page Jobs Scraper?

- **Automatic job board detection.** It reads the company homepage and careers pages to find the job board link, and can also try the company name on each supported job board. In our tests it found the board for 15 of 15 companies that use a supported system.
- **Straight from the source.** Jobs come from the public job board APIs that these systems publish for career sites, so data is fresh, complete and reliable.
- **One schema for six job boards.** Salaries, locations and dates are normalized, so you can mix companies in one dataset.
- **Pay only for jobs you keep.** Filter by keywords, locations, departments, remote and posting date; filtered-out jobs are never charged, and companies without a supported job board cost nothing.

Typical uses: **sales prospecting from hiring signals**, recruiting and talent market maps, competitor hiring analysis, job boards and newsletters, salary benchmarking and giving AI agents a live view of who is hiring.

### How to scrape jobs from company career pages

1. Click **Try for free**.
2. In **Companies**, add company websites (for example `ramp.com`), careers page links, or job board links (for example `https://jobs.lever.co/palantir`).
3. Optionally add **Keywords**, **Locations** or **Departments**, or turn on **Remote jobs only**.
4. Click **Start**. Most runs finish within a minute.
5. Open the **Output** tab. **Overview** shows company, title, location, salary and job link; **Details** shows everything else. The **COMPANIES\_REPORT** record shows which job board was found for each company.

### Input

| Field | Description | Default |
|---|---|---|
| **Companies** | Websites, careers page links or job board links. Up to 500. | – |
| **Keywords** | Comma-separated. A job matches if its title, department or description contains all words of at least one keyword. | all jobs |
| **Locations** | Keep jobs whose location contains any of these texts (for example `London`, `Germany`, `Remote`). | any |
| **Departments** | Keep jobs whose department or team contains any of these texts. | any |
| **Remote jobs only** | Keep only jobs marked remote. | off |
| **Posted within (days)** | Only jobs posted in the last N days. | any date |
| **Maximum jobs per company** | 1–5,000 | 500 |
| **Include job descriptions** | Turn off for a smaller dataset. | on |
| **Guess job boards from the company name** | Try `ramp` on each job board when the website has no job board link. A guessed board is used only if it mentions the company's own domain. | on |

Example input:

```json
{
  "companies": ["stripe.com", "notion.so", "https://jobs.lever.co/palantir"],
  "keywords": "data engineer, machine learning",
  "locations": ["Remote", "London"],
  "postedWithinDays": 30
}
```

### Output

Each job is one item in the dataset. A real example from a run on 15 September 2026 (description shortened):

```json
{
  "id": "ashby:ramp:34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "ats": "Ashby",
  "companyInput": "https://jobs.ashbyhq.com/ramp",
  "company": "Ramp",
  "boardToken": "ramp",
  "jobUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "title": "Security Engineer, Cloud",
  "department": "Engineering",
  "team": "Backend",
  "location": "New York, NY (HQ)",
  "locations": ["New York, NY (HQ)", "Remote (Canada)", "Remote (US)", "Miami, FL"],
  "remote": true,
  "employmentType": "Full-time",
  "salaryMin": 211400,
  "salaryMax": 290600,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "salary": "USD 211,400–290,600 / year",
  "description": "ABOUT RAMP\n\nRamp is building the smart infrastructure for finance teams...",
  "postedAt": "2026-04-07T17:12:35.753000+00:00",
  "updatedAt": null,
  "scrapedAt": "2026-09-15T09:41:58.052097+00:00"
}
```

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

### Output fields

| Field | Meaning |
|---|---|
| `ats`, `boardToken` | Job board system and the company's board name on it |
| `companyInput`, `company` | What you entered and the company name |
| `jobUrl` | Job posting / apply link |
| `title`, `department`, `team` | Role and where it sits |
| `location`, `locations`, `remote` | Main location, all locations, and whether the job is remote |
| `employmentType` | Full-time, part-time, contract… as provided |
| `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryPeriod`, `salary` | Salary range when the company publishes it (common on Greenhouse, Ashby and Recruitee) |
| `description` | Plain-text description with email addresses removed |
| `postedAt`, `updatedAt`, `scrapedAt` | Dates in ISO 8601, UTC |

### How much does it cost to scrape company jobs?

This Actor uses **pay-per-event pricing**: you pay a small fee per job saved to your dataset. Jobs removed by your filters, duplicates and companies without a supported job board are never charged. See the **Pricing** tab for the current price per 1,000 jobs; platform compute is included. You can set a maximum cost per run, and the Actor stops cleanly when it is reached.

### Tips

- **Use filters to pay only for relevant jobs.** Large companies list hundreds of roles; keywords, locations and departments are applied before anything is saved.
- **Schedule a daily run** with **Posted within (days)** set to `1` to track new openings.
- **Company not found?** Check **COMPANIES\_REPORT**. Paste the careers page or job board link instead of the homepage; some sites load jobs with JavaScript or block automated visits.
- **Hiring signals for sales:** run your prospect list weekly and compare job counts by department.

### Supported job boards and limitations

- Supported: Greenhouse, Lever (including EU), Ashby, Workable, Recruitee, Personio.
- Not supported yet: Workday, SmartRecruiters, BambooHR, iCIMS, Taleo, SuccessFactors and custom in-house career sites. Tell us in the **Issues** tab which system you need.
- The Actor only reads public job postings. It visits at most 6 pages per company website, follows each site's robots.txt and spaces out requests.

### Related tools

Enrich company and hiring data:

- [Remote Jobs Aggregator](https://apify.com/pavel.tashev/remote-jobs-aggregator): collect remote jobs from Himalayas, Remote OK and Jobicy in one dataset.
- [European Company Registry Lookup](https://apify.com/pavel.tashev/european-company-registry-lookup): look up official company records in 8 European registries and the LEI database.
- [Website Tech Stack Detector](https://apify.com/pavel.tashev/website-tech-stack-detector): detect the CMS, frameworks, analytics and hosting of any website.

### FAQ and support

**Is it legal to collect job postings?** The Actor reads public job postings through the job board APIs that Greenhouse, Lever, Ashby, Workable, Recruitee and Personio document for career sites. Job descriptions belong to the employers; keep the job link when you republish them and follow applicable laws.

**Does it collect personal data?** No. It saves job postings only, drops recruiter contact fields and removes email addresses from descriptions.

**Missing a field or a job board?** Open an issue in the **Issues** tab. Custom hiring-data pipelines are available on request.

# Actor input Schema

## `companies` (type: `array`):

Company websites (for example "ramp.com"), careers page links, or job board links (for example "https://jobs.lever.co/palantir"). The Actor finds the company's job board on Greenhouse, Lever, Ashby, Workable, Recruitee or Personio. Up to 500 companies.

## `keywords` (type: `string`):

Comma-separated keywords, for example "python, data engineer". A job matches if its title, department or description contains all words of at least one keyword. Leave empty for all jobs.

## `locations` (type: `array`):

Keep jobs whose location contains any of these texts, for example "London", "Germany" or "Remote". Leave empty for any location.

## `departments` (type: `array`):

Keep jobs whose department or team contains any of these texts, for example "Engineering" or "Sales".

## `remoteOnly` (type: `boolean`):

Keep only jobs marked as remote by the job board or with "Remote" in the location.

## `postedWithinDays` (type: `integer`):

Only return jobs posted (or updated, when the board has no posting date) in the last N days. Leave empty for any date.

## `maxJobsPerCompany` (type: `integer`):

Stop saving jobs for a company after this many matching jobs.

## `includeDescription` (type: `boolean`):

Full job description as plain text. Turn off for a smaller dataset (keywords still search descriptions).

## `guessBoards` (type: `boolean`):

When no job board link is found on the website, try the company name (for example "ramp" from ramp.com) on each supported job board. Boards whose company name does not match the website are skipped.

## Actor input object example

```json
{
  "companies": [
    "https://jobs.ashbyhq.com/ramp",
    "airbnb.com",
    "https://apply.workable.com/blueground/"
  ],
  "remoteOnly": false,
  "maxJobsPerCompany": 500,
  "includeDescription": true,
  "guessBoards": true
}
```

# Actor output Schema

## `jobs` (type: `string`):

No description

## `companiesReport` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "https://jobs.ashbyhq.com/ramp",
        "airbnb.com",
        "https://apply.workable.com/blueground/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pavel.tashev/company-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "companies": [
        "https://jobs.ashbyhq.com/ramp",
        "airbnb.com",
        "https://apply.workable.com/blueground/",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("pavel.tashev/company-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "companies": [
    "https://jobs.ashbyhq.com/ramp",
    "airbnb.com",
    "https://apply.workable.com/blueground/"
  ]
}' |
apify call pavel.tashev/company-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pavel.tashev/company-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/gEXdy9lANtuftho04/builds/I8VV7CGdqBFLUxHnd/openapi.json