# HelloWork Jobs Scraper (France) (`slxcx_0/hellowork-jobs-scraper`) Actor

Extract job offers from hellowork.com — France's largest private job board. Title, company, city, contract (CDI/CDD/intérim/alternance…), salary range, experience, education, industry and full description. No browser, fast and cheap.

- **URL**: https://apify.com/slxcx_0/hellowork-jobs-scraper.md
- **Developed by:** [Jules Deparis](https://apify.com/slxcx_0) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 job listings

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?

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

## HelloWork Jobs Scraper (France)

Extract job offers from **hellowork.com**, France's largest private job board (600k+ live offers), as clean JSON/CSV/Excel. No browser, no proxies: **200 fully-detailed jobs in ~20 seconds.**

Each job includes title, company (with logo and company page), city / postal code / region, contract type (CDI, CDD, intérim, stage, alternance, freelance…), salary range and period, required experience (months), education level, industry, remote policy when shown, exact posting date and validity, and the full description, qualifications and skills.

### Input

- **Keywords** — one search per keyword (`"développeur"`, `"comptable"`, `"infirmier"`).
- **Location** — city, department or region exactly as you'd type it on the site (`"Lille"`, `"Nord"`, `"Île-de-France"`), with an optional **radius** in km.
- **Contract types** — CDI, CDD, Travail_temp (intérim), Stage, Alternance, Independant, Franchise, Associe, Fonctionnaire, Freelance, Stage_de_lycee.
- **Published within** — last hour / 24 h / 7 days / 30 days.
- **Sort** — newest first (default) or relevance.
- **HelloWork search URLs** — paste URLs from the site; filters are read from the URL.
- **Fetch full job details** — on by default; turn off for a cheaper listing-only run.
- **Max jobs** — 0 = unlimited (each search returns up to 3,000 offers = 100 pages).

#### Example input

```json
{ "keywords": ["développeur", "data engineer"], "location": "Lille", "radiusKm": 30, "contracts": ["CDI"], "period": "7d", "includeDetails": true, "maxItems": 500 }
```

#### Example output

```json
{
  "id": "84387452",
  "url": "https://www.hellowork.com/fr-fr/emplois/84387452.html",
  "title": "Développeur .Net H/F",
  "companyName": "HOUSE OF ABY",
  "companyUrl": "https://www.hellowork.com/fr-fr/entreprises/house-of-aby-7135.html",
  "city": "Lille", "postalCode": "59000", "region": "Hauts-de-France", "countryCode": "FR",
  "contract": "CDI", "employmentType": "FULL_TIME",
  "salaryMin": 38000, "salaryMax": 38000, "salaryCurrency": "EUR", "salaryUnit": "YEAR",
  "experienceMonths": 12, "educationRequirements": ["postgraduate degree"],
  "industry": ["Secteur informatique", "ESN"],
  "datePosted": "2026-10-13T14:48:26Z", "validThrough": "2026-11-12T14:48:26Z",
  "skills": ".NET,Assistance technique,Dynamisme,Pro-activité,Autonomie,C#",
  "description": "Les missions du poste\nHOUSE OF ABY : un terrain de jeu unique pour nos talents..."
}
```

### Pricing

Pay per event, no subscription: **`job-listing`** (title, company, location, contract, salary, posting age) and **`job-detail`** (everything above). No start fee; compute cost is negligible because no browser is used.

### Use cases

Recruiting intelligence and competitor hiring monitoring · B2B lead generation (companies that hire are buying) · salary benchmarking (60% of offers carry a range) · job boards and aggregators (stable `id`s, newest-first, `period` filter for scheduled runs) · AI agents / MCP (compact typed records).

### Notes

Only public listings are collected; no candidate data. Offers from external ATS feeds sometimes lack structured data; the Actor then reads the page sections directly and marks the record `source: "html"` (salary may be the site's estimate, flagged `salaryIsEstimate`).

# Actor input Schema

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

One search per keyword, e.g. "développeur", "comptable", "infirmier".

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

City, department or region as typed on hellowork.com (e.g. "Lille", "Nord", "Île-de-France"). Empty = all France.

## `radiusKm` (type: `integer`):

Search radius around the location (default 20).

## `contracts` (type: `array`):

CDI, CDD, Travail_temp (intérim), Stage, Alternance, Independant, Franchise, Associe, Fonctionnaire, Freelance, Stage_de_lycee.

## `period` (type: `string`):

Only offers published within this period.

## `sortBy` (type: `string`):

Order of results. Newest first is best for scheduled runs.

## `startUrls` (type: `array`):

Paste search URLs from hellowork.com; keyword, location, contracts, radius and period are read from the URL.

## `includeDetails` (type: `boolean`):

Full description, qualifications, experience (months), education, industry, postal code, exact posting date. Charged as a separate 'job-detail' event.

## `maxItems` (type: `integer`):

0 = unlimited.

## Actor input object example

```json
{
  "keywords": [
    "développeur"
  ],
  "location": "Lille",
  "radiusKm": 20,
  "contracts": [],
  "period": "all",
  "sortBy": "date",
  "startUrls": [],
  "includeDetails": true,
  "maxItems": 100
}
```

# Actor output Schema

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

All scraped job offers as JSON. Append ?format=csv or ?format=xlsx for other formats.

## `summary` (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 = {
    "keywords": [
        "développeur"
    ],
    "location": "Lille"
};

// Run the Actor and wait for it to finish
const run = await client.actor("slxcx_0/hellowork-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 = {
    "keywords": ["développeur"],
    "location": "Lille",
}

# Run the Actor and wait for it to finish
run = client.actor("slxcx_0/hellowork-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 '{
  "keywords": [
    "développeur"
  ],
  "location": "Lille"
}' |
apify call slxcx_0/hellowork-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,slxcx_0/hellowork-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/yW82lEQs5rXHhfQ9P/builds/qqjHwmtgnPKwqCA8C/openapi.json