# HelloWork.fr Scraper (`unfenced-group/hellowork-scraper`) Actor
Scrape hellowork.com for structured French job data: titles, companies, salaries, skills & full descriptions (HTML, plain text, Markdown). 700,000+ listings across France. Filter by keyword, location & contract type. Deduplication & repost detection included.
- **URL**: https://apify.com/unfenced-group/hellowork-scraper.md
- **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community)
- **Categories:** Jobs, Developer tools, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.99 / 1,000 results
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## HelloWork.fr Scraper
Extract structured job listing data from [hellowork.com](https://www.hellowork.com) — one of France's largest job boards with over 700,000 active listings across all industries and regions.
---
### Features
- **Full-text search** — filter by keyword, location, and contract type (CDI, CDD, Interim, Stage, Alternance, Freelance)
- **Rich structured output** — job title, company, full HTML/text/Markdown description, salary, skills, qualifications, sectors, and experience requirements
- **Salary intelligence** — actual `min`/`max` salary where disclosed, plus HelloWork's market estimates (median, P10, P25, P75, P90) for every role
- **Repost detection** — cross-run deduplication with 90-day memory prevents paying twice for the same listing
- **Age filtering** — `daysOld` parameter to return only recently published listings
- **Direct URL scraping** — supply your own HelloWork search page or individual job URLs via `startUrls`
- **No API key required** — works out of the box
---
### Input parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| `startUrls` | Array | `[]` | HelloWork.fr job detail URLs or search page URLs. If provided, keyword search is skipped. |
| `keywords` | String | `""` | Job title or keyword (e.g. `"developpeur"`, `"infirmier"`, `"comptable"`). |
| `location` | String | `""` | City, region, or department (e.g. `"Paris"`, `"Lyon"`, `"Ile-de-France"`). |
| `contractType` | Enum | `""` (all) | `CDI`, `CDD`, `Interim`, `Stage`, `Alternance`, or `Freelance`. |
| `maxResults` | Integer | `100` | Maximum results to return. Set to `0` for unlimited. |
| `daysOld` | Integer | `0` | Only return listings published within this many days. `0` = disabled. |
| `skipReposts` | Boolean | `false` | Skip listings seen in a previous run (requires at least one prior run). |
---
### Output fields
Each result contains:
```json
{
"id": "77535148",
"url": "https://www.hellowork.com/fr-fr/emplois/77535148.html",
"title": "Développeur React Native H/F",
"company": "Capgemini",
"companyLogo": "https://f.hellowork.com/img/entreprises/160_160/6026.png",
"companyUrl": "https://www.hellowork.com/fr-fr/entreprises/capgemini-france-6026.html",
"city": "Paris",
"postalCode": "75000",
"region": "Île-de-France",
"country": "FR",
"location": "Paris - 75",
"contractType": "CDI",
"sector": ["Secteur informatique/ESN"],
"occupationalCategory": "Informatique",
"jobs": ["Développeur informatique"],
"skills": ["React Native", "JavaScript"],
"qualifications": ["Bac +5"],
"experienceLevels": ["Ingénieur/Cadre/Bac +5"],
"expectedExperiences": ["1 à 7 ans"],
"monthsOfExperience": 12,
"educationRequirements": "postgraduate degree",
"description": "Les missions du poste
...
",
"descriptionText": "Les missions du poste\n\n...",
"descriptionMarkdown": "### Les missions du poste\n\n...",
"salaryMin": null,
"salaryMax": null,
"salaryPeriod": "YEAR",
"salaryCurrency": "EUR",
"estimatedSalaryMedian": 51200,
"estimatedSalaryP10": 23800,
"estimatedSalaryP25": 42500,
"estimatedSalaryP75": 65000,
"estimatedSalaryP90": 82500,
"publishDate": "2026-04-02",
"publishDateISO": "2026-04-02",
"validThrough": "2026-05-02",
"directApply": false,
"contentHash": "a1b2c3d4e5f60718",
"summary": "Développeur React Native H/F @ Capgemini — Paris",
"source": "hellowork.com",
"scrapedAt": "2026-04-04T09:00:00.000Z",
"isRepost": false,
"originalPublishDate": null,
"originalUrl": null
}
````
#### Salary fields explained
HelloWork publishes two types of salary data:
- **`salaryMin` / `salaryMax`** — the employer-declared salary range, present on roughly 30% of listings.
- **`estimatedSalaryMedian` / P10–P90** — HelloWork's own market-rate estimate based on similar roles, present on nearly all listings. Useful as a benchmark even when the employer does not disclose a salary.
***
### Example runs
#### Search for developers in Paris (CDI only)
```json
{
"keywords": "developpeur",
"location": "Paris",
"contractType": "CDI",
"maxResults": 100
}
```
#### Last 7 days of nursing jobs in Lyon
```json
{
"keywords": "infirmier",
"location": "Lyon",
"daysOld": 7,
"maxResults": 50
}
```
#### Internships nationwide
```json
{
"contractType": "Stage",
"maxResults": 200
}
```
#### Scrape a pre-filtered HelloWork search URL directly
```json
{
"startUrls": [
{ "url": "https://www.hellowork.com/fr-fr/emploi/recherche.html?k=data+scientist&l=Bordeaux" }
],
"maxResults": 30
}
```
#### Daily monitor with repost filtering
```json
{
"keywords": "comptable",
"location": "Ile-de-France",
"daysOld": 1,
"skipReposts": true,
"maxResults": 0
}
```
***
### Pricing
**$0.99 per 1,000 results.**
A run returning 500 results costs approximately $0.50.
***
### Performance
| Mode | Throughput | Notes |
|---|---|---|
| Keyword search | ~200–400 results/min | Depends on result volume and page count |
| Direct `startUrls` | ~120–180 results/min | Detail pages only |
HelloWork paginates at 30 results per page. For broad searches (no keyword or location), expect thousands of pages. Use `maxResults` to cap large runs.
***
### Notes
- `directApply` indicates whether the application is processed directly on HelloWork.fr (`true`) or redirected to the employer's own site (`false`).
- `skipReposts` requires a prior completed run in the same Apify account to populate the deduplication store.
- HelloWork.fr covers France exclusively. All salaries are in EUR.
# Actor input Schema
## `startUrls` (type: `array`):
Optional list of HelloWork.fr job detail URLs or search page URLs to scrape directly. If provided, the keyword/location search is skipped.
## `keywords` (type: `string`):
Job title or keyword to search for (e.g. "developpeur", "infirmier", "comptable").
## `location` (type: `string`):
City, region, or department to filter by (e.g. "Paris", "Lyon", "Ile-de-France").
## `contractType` (type: `string`):
Filter by contract type. Leave empty to return all contract types.
## `maxResults` (type: `integer`):
Maximum number of job listings to return. Set to 0 for unlimited.
## `daysOld` (type: `integer`):
Only return listings published within this many days. Set to 0 to disable.
## `skipReposts` (type: `boolean`):
Skip job listings that were already seen in a previous run (requires at least one prior run to have completed).
## Actor input object example
```json
{
"startUrls": [],
"keywords": "developpeur",
"location": "Paris",
"contractType": "",
"maxResults": 50,
"daysOld": 0,
"skipReposts": false
}
```
# Actor output Schema
## `results` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [],
"keywords": "developpeur",
"location": "Paris",
"contractType": "",
"maxResults": 50,
"daysOld": 0
};
// Run the Actor and wait for it to finish
const run = await client.actor("unfenced-group/hellowork-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"startUrls": [],
"keywords": "developpeur",
"location": "Paris",
"contractType": "",
"maxResults": 50,
"daysOld": 0,
}
# Run the Actor and wait for it to finish
run = client.actor("unfenced-group/hellowork-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"startUrls": [],
"keywords": "developpeur",
"location": "Paris",
"contractType": "",
"maxResults": 50,
"daysOld": 0
}' |
apify call unfenced-group/hellowork-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=unfenced-group/hellowork-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "HelloWork.fr Scraper",
"description": "Scrape hellowork.com for structured French job data: titles, companies, salaries, skills & full descriptions (HTML, plain text, Markdown). 700,000+ listings across France. Filter by keyword, location & contract type. Deduplication & repost detection included.",
"version": "0.0",
"x-build-id": "rJIfiQqwhSzmcFU9e"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/unfenced-group~hellowork-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-unfenced-group-hellowork-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/unfenced-group~hellowork-scraper/runs": {
"post": {
"operationId": "runs-sync-unfenced-group-hellowork-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/unfenced-group~hellowork-scraper/run-sync": {
"post": {
"operationId": "run-sync-unfenced-group-hellowork-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Optional list of HelloWork.fr job detail URLs or search page URLs to scrape directly. If provided, the keyword/location search is skipped.",
"default": [],
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"keywords": {
"title": "Keywords",
"type": "string",
"description": "Job title or keyword to search for (e.g. \"developpeur\", \"infirmier\", \"comptable\").",
"default": ""
},
"location": {
"title": "Location",
"type": "string",
"description": "City, region, or department to filter by (e.g. \"Paris\", \"Lyon\", \"Ile-de-France\").",
"default": ""
},
"contractType": {
"title": "Contract type",
"enum": [
"",
"CDI",
"CDD",
"Interim",
"Stage",
"Alternance",
"Freelance"
],
"type": "string",
"description": "Filter by contract type. Leave empty to return all contract types.",
"default": ""
},
"maxResults": {
"title": "Max results",
"minimum": 0,
"type": "integer",
"description": "Maximum number of job listings to return. Set to 0 for unlimited.",
"default": 100
},
"daysOld": {
"title": "Max age (days)",
"minimum": 0,
"type": "integer",
"description": "Only return listings published within this many days. Set to 0 to disable.",
"default": 0
},
"skipReposts": {
"title": "Skip reposts",
"type": "boolean",
"description": "Skip job listings that were already seen in a previous run (requires at least one prior run to have completed).",
"default": false
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```