# Workable Jobs Scraper - Job Postings & Hiring Leads (`eliai/workable-jobs-scraper`) Actor

Scrape every open job on any Workable careers board: title, department, location, remote flag, salary range, apply URL and dates, one row per job. Bulk companies, keyword/location filters, no API key. $0.004 per job.

- **URL**: https://apify.com/eliai/workable-jobs-scraper.md
- **Developed by:** [Broke to Built](https://apify.com/eliai) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.20 / 1,000 scraped jobs

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Workable Jobs Scraper — every open job on any Workable careers board

Pull every open job from any company that hires through **Workable**: title, department, team, location, remote flag, employment type, **salary range**, job URL, apply URL and publish date. One row per job, bulk companies in one run, keyword / location / department / remote / date filters. **No API key, no login, no proxy.** $0.004 per job.

### Real output (run `W4TH9MzyPFMztwdEn`, 10 jobs)

Input: `{"companies":["huggingface","https://apply.workable.com/blueground"],"remoteOnly":false,"maxJobsPerCompany":5,"includeDescription":true}`

| company | title | location | salary | remote |
|---|---|---|---|---|
| huggingface | Low-level Senior Software Engineer, Xet Storage - EMEA Remote | Paris, Île-de-France, France | — | yes |
| huggingface | Low-Level Senior Software Engineer, Xet Storage - US Remote | New York, New York, United States | — | yes |
| huggingface | Open-Source Machine Learning Engineer - EMEA Remote | Paris, Île-de-France, France | — | yes |

```json
{
  "ok": true,
  "source": "workable",
  "company": "Hugging Face",
  "companySlug": "huggingface",
  "jobId": "F4C096B22E",
  "title": "Low-level Senior Software Engineer, Xet Storage - EMEA Remote",
  "department": "Product",
  "team": null,
  "location": "Paris, Île-de-France, France",
  "isRemote": true,
  "workplaceType": "remote",
  "employmentType": "Full-time",
  "experienceLevel": "Mid-Senior level",
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "salaryInterval": null,
  "salaryText": null,
  "url": "https://apply.workable.com/j/F4C096B22E",
  "applyUrl": "https://apply.workable.com/j/F4C096B22E/apply",
  "publishedAt": "2026-07-30T00:00:00.000Z",
  "updatedAt": null,
  "descriptionText": "At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collecti…"
}
```

Run with no input at all (`{}`) returns the first 100 open jobs at **huggingface** — run `hfiTKWeNFt3GPYDlG`, 8 rows.

### What you can use it for

- **Job hunting at scale** — watch 50 target companies, filter to "engineer" + "Remote", schedule daily.
- **Sales / lead generation** — a company hiring 10 data engineers is buying data tools. Hiring is the strongest public buying signal there is; export the rows to your CRM.
- **Recruiting & market research** — salary bands by role and city, team growth, where competitors are opening offices.
- **Job boards & aggregators** — clean, normalised rows with stable IDs for de-duplication.

The row shape is **identical** across our Greenhouse, Lever, Ashby and SmartRecruiters scrapers, so datasets from all four concatenate with no mapping step.

### Input

| field | what it does |
|---|---|
| `company` | One company: the slug from apply.workable.com/<name>, or that URL. Default `huggingface`. |
| `companies` | Up to 50 companies in one run. |
| `keywords` | Keep jobs whose title contains ANY of these (case-insensitive). |
| `location` | Keep jobs whose location contains this text. |
| `department` | Keep jobs whose department or team contains this text. |
| `remoteOnly` | Remote jobs only. |
| `postedWithinDays` | Only jobs published in the last N days. |
| `maxJobsPerCompany` | Cap per company after filters (default 100). |
| `includeDescription` | Add the full job description as clean plain text. |

### Output fields

`source, company, companySlug, jobId, title, department, team, location, isRemote, workplaceType, employmentType, experienceLevel, salaryMin, salaryMax, salaryCurrency, salaryInterval, salaryText, url, applyUrl, publishedAt, updatedAt` (+ `descriptionText` when requested). Download as JSON, CSV, Excel or via API.

**Salary:** Workable has no public pay field. With "Include full job description" on, a stated range is read out of the description; otherwise salary fields are null.

### Pricing

**$0.004 per job row returned.** A company with no open jobs, an unknown slug, or a board whose jobs all miss your filters returns an explanatory row with `ok: false` and is **not charged**. 100 jobs = $0.40.

### How it works

It reads Workable's own public job-board API, the same feed that powers each company's careers page. No browser, no scraping of HTML, no proxies, so runs finish in seconds and do not break when a careers page is redesigned.

### FAQ

**How do I find a company's slug?** Open their careers page. If the URL is apply.workable.com/<name>, the slug is the last part. You can also paste the full URL.

**Which companies use Workable?** Among others: Hugging Face, Blueground and thousands of SMBs.

**Can I schedule it?** Yes. Use an Apify schedule plus `postedWithinDays: 1` to get only new jobs each day.

**Is it legal?** It reads data the company publishes publicly for job seekers. Use it in line with your local law and the board's terms.

Building an AI agent that reads these rows? We use GLM models for bulk text work; referral link (we get credit if you subscribe): https://z.ai/subscribe?ic=BWTG6TRYYQ

### Changelog

- **0.1 (2026-09-24)** — first release. Bulk companies, filters, normalised salary fields.

# Actor input Schema

## `company` (type: `string`):

The account name from apply.workable.com/<name> or <name>.workable.com, or that URL itself.

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

Several companies in one run, up to 50. Slugs or careers URLs.

## `keywords` (type: `array`):

Keep only jobs whose title contains ANY of these words (case-insensitive), e.g. engineer, sales. Empty = all jobs.

## `location` (type: `string`):

Keep only jobs whose location contains this text, e.g. London, Remote, United States.

## `department` (type: `string`):

Keep only jobs whose department or team contains this text, e.g. Engineering.

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

Keep only jobs the board marks as remote.

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

Keep only jobs published in the last N days. 0 = any date.

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

Cap on rows per company after filters. You are charged per job returned.

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

Adds the job description as clean plain text. Larger output.

## Actor input object example

```json
{
  "company": "huggingface",
  "companies": [],
  "keywords": [],
  "remoteOnly": false,
  "postedWithinDays": 0,
  "maxJobsPerCompany": 100,
  "includeDescription": false
}
```

# Actor output Schema

## `results` (type: `string`):

Every job row this run produced, as JSON.

## `resultsCsv` (type: `string`):

The same rows as a spreadsheet-ready CSV.

# 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 = {
    "company": "huggingface",
    "companies": [],
    "keywords": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("eliai/workable-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 = {
    "company": "huggingface",
    "companies": [],
    "keywords": [],
}

# Run the Actor and wait for it to finish
run = client.actor("eliai/workable-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 '{
  "company": "huggingface",
  "companies": [],
  "keywords": []
}' |
apify call eliai/workable-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,eliai/workable-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/F1aGbK52oQIoUNzGI/builds/CCcYLZ8vHxxilYDG4/openapi.json