# Leforem.be Scraper (`lexis-solutions/leforem-be-scraper`) Actor

Scrape leforem.be job listings with advanced filters (keyword, location, contract, education, language) and detailed offer data for recruitment analytics, labor market research, and HR automation workflows.

- **URL**: https://apify.com/lexis-solutions/leforem-be-scraper.md
- **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community)
- **Categories:** AI, Jobs, Agents
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$29.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

## 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

## leforem-be Scraper

![banner](https://i.ibb.co/My6j4JJz/Screenshot-2026-02-01-at-11-51-46-PM.png)

Apify Actor for scraping job listings and detailed offer information from the **leforem.be** job portal.

### Features

- **Extensive Search Filters**: Support for all filters found on the portal, including keywords, location (place), job type (métier), contract type, education level, language, certifications, and more.
- **Smart Mapping**: Input locations, jobs, and activities using either their official GUIDs/IDs or friendly names (e.g., "Namur", "Belgique", "Infirmier").
- **Detailed Extraction**: Captures all job details, including full descriptions, benefits, required skills, experience, and contact information.
- **Flexible & Extendable**: While the dropdowns include thousands of common options, some niche items may be omitted due to platform size limits. However, the scraper is designed to handle **any** valid name or GUID from the leforem.be website—simply type it into the field manually and the Actor will resolve it automatically.
- **Date Filtering**: Ability to filter jobs by their release date.

### Input Configuration

The scraper accepts the following input fields (see `input_schema.json` for details):

| Field                | Type    | Description                                                               |
| -------------------- | ------- | ------------------------------------------------------------------------- |
| `keyword`            | String  | Company, reference, or profession keyword.                                |
| `place`              | Array   | Workplace locations. Supports names or GUIDs (e.g., \["Namur", "France"]). |
| `job`                | Array   | Job titles or professions. Supports names or GUIDs.                       |
| `contractType`       | Array   | Type of employment contract (Dropdown).                                   |
| `studyLevel`         | Array   | Required study level (Dropdown).                                          |
| `experience`         | Array   | Required experience level (Dropdown).                                     |
| `workingTime`        | Array   | Work regime (Dropdown, e.g. Temps plein).                                 |
| `workingSchedule`    | Array   | Work schedule (Dropdown).                                                 |
| `language`           | Array   | Required languages (Dropdown).                                            |
| `certification`      | Array   | Required professional certifications (Dropdown).                          |
| `activity`           | Array   | Sector of activity. Supports names or IDs.                                |
| `source`             | Array   | Source of the job offer (Dropdown, e.g. Adecco, VDAB).                    |
| `releaseDate`        | String  | Filter jobs released on or after this date (Date picker).                 |
| `maxItems`           | Integer | Maximum number of job listings to scrape.                                 |
| `s`                  | String  | Places Search operator (AND/OR).                                          |
| `proxyConfiguration` | Object  | Proxy settings.                                                           |

### Input Example

#### Advanced Search with Multiple Filters

```json
{
  "keyword": "software",
  "s": "ET",
  "place": ["Namur", "Belgique"],
  "job": ["Electromécanicien"],
  "contractType": ["a1cfb1e2-1eec-4fc0-83b3-9cca5c703db8"],
  "workingTime": ["454828ed-e561-450b-811f-65aa4ed82823"],
  "language": ["ae6d646f-87f8-4157-9168-3df295d2f62d"],
  "source": ["Adecco"],
  "releaseDate": "2026-01-01",
  "maxItems": 100
}
```

#### Simple Location Search

```json
{
  "place": ["Liège", "Luxembourg"],
  "maxItems": 50
}
```

### Output

```json
{
  "idOffreEmploi": 1728826,
  "numero": "1728826",
  "titreOffre": "Software Engineer (H/F/X)",
  "datePublication": "08/01/2026",
  "dateFinDiffusion": "19/02/2026",
  "dateDebutDiffusion": "08/01/2026",
  "nomEmployeur": "ODOO",
  "secteurActiviteEmployeur": "Conseil informatique",
  "typeContrat": "Durée indéterminée",
  "regimeTravail": "Temps plein",
  "lieuxTravail": ["Louvain-la-Neuve"],
  "langues": [
    {
      "code": "EN",
      "libelle": "Anglais",
      "required": true,
      "experience": "B2 - Avancé",
      "comment": ""
    }
  ],
  "nombrePostes": 25,
  "logoEmployeur": "iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAYAAABc ...",
  "logoMimeType": "image/png",
  "descriptionEmployeur": "<p></p>\n<p><span>Odoo develops a business management software ...",
  "descriptionJob": "<p></p>\n<p>Most of the time, we deliver a standard version of Odoo to our customers. However ...",
  "metier": "Analyste-développeur / développeuse TIC",
  "positionDateInfo": {},
  "shift": {
    "shiftPeriod": "",
    "hours": "38"
  },
  "benefits": {
    "otherBenefits": ["Treizième mois", "Voiture de société", "Chèque-repas"]
  },
  "travel": {},
  "howToApply": {
    "personNameAffix": "2",
    "prefferedGivenName": "Tatiane",
    "familyName": "Dussart",
    "email": "softwareengi+forem@mail.odoo.com",
    "postalAddress": {
      "organisation": "Odoo",
      "adresse": ["Chaussée de Namur 40"],
      "recipient": "T. Dussart",
      "municipalite": "Grand-Rosière",
      "codePostal": "1367",
      "countryCode": "BE",
      "pays": "Belgique"
    },
    "webAddress": "https://www.odoo.com/jobs/software-engineer-1228?utm_campaign=Job+Campaign+%5B291%5D&utm_medium=Website&utm_source=Forem",
    "formattedName": "Tatiane Dussart"
  },
  "softSkills": [
    {
      "code": "02",
      "libelle": "Esprit d’analyse",
      "required": true,
      "experience": "0"
    }
  ],
  "experience": [
    {
      "code": "M180501-1",
      "libelle": "Analyste-développeur / développeuse TIC",
      "experience": "Sans importance"
    }
  ],
  "recentExperience": [],
  "permisConduire": [],
  "permisConduireSimplified": "",
  "certifications": [],
  "etudes": [],
  "dateModification": "27/01/2026",
  "competencies": [
    {
      "code": "22242",
      "libelle": "Analyser les besoins du client, de l'utilisateur et constituer le cahier des charges fonctionnel (spécifications, délais, coûts, ...)",
      "required": true,
      "experience": "0"
    }
  ],
  "googleForJobMetadata": {
    "context": "https://schema.org/",
    "type": "JobPosting",
    "title": "Software Engineer (H/F/X)",
    "description": "<p></p>\n<p>Most of the time, we deliver a ... ",
    "indentifier": {
      "type": "PropertyValue",
      "name": "ODOO",
      "value": "1728826"
    },
    "datePosted": "08/01/2026",
    "employementType": "FULL_TIME",
    "hiringOrganisation": {
      "type": "Organization",
      "name": "ODOO",
      "sameAs": "ODOO"
    },
    "jobLocation": {
      "type": "Place",
      "address": {
        "type": "PostalAddress",
        "addressLocality": "Chaussée de Namur 40",
        "addressCountry": "BE"
      }
    }
  },
  "url": "https://www.leforem.be/recherche-offres/offre-detail/1728826?originPostuler=RECHOFFRE"
}
```

### Output Fields

| Field                | Type    | Description                                                               |
| -------------------- | ------- | ------------------------------------------------------------------------- |
| `idOffreEmploi`      | String  | Unique identifier of the job offer.                                       |
| `numero`             | String  | Job number.                                                               |
| `titreOffre`         | String  | Job title.                                                                |
| `datePublication`    | String  | Date of publication.                                                      |
| `dateFinDiffusion`   | String  | End of diffusion date.                                                    |
| `dateDebutDiffusion` | String  | Start of diffusion date.                                                  |
| `nomEmployeur`       | String  | Employer name.                                                            |
| `secteurActiviteEmployeur` | String | Employer's sector of activity.                                            |
| `typeContrat`        | String  | Type of employment contract.                                              |
| `regimeTravail`      | String  | Work regime.                                                              |
| `lieuxTravail`       | Array   | Workplaces.                                                               |
| `langues`            | Array   | Languages required.                                                       |
| `nombrePostes`       | Integer | Number of positions.                                                      |
| `logoEmployeur`      | String  | Employer's logo.                                                          |
| `logoMimeType`       | String  | MIME type of the employer's logo.                                         |
| `descriptionEmployeur` | String | Employer's description.                                                   |
| `descriptionJob`     | String  | Job description.                                                          |
| `metier`             | String  | Job title.                                                                |
| `positionDateInfo`   | Object  | Position date information.                                                |
| `shift`              | Object  | Shift information.                                                        |
| `benefits`           | Object  | Benefits.                                                                 |
| `travel`             | Object  | Travel information.                                                       |
| `howToApply`         | Object  | How to apply information.                                                 |
| `softSkills`         | Array   | Soft skills required.                                                     |
| `experience`         | Array   | Experience required.                                                      |
| `recentExperience`   | Array   | Recent experience.                                                        |
| `permisConduire`     | Array   | Driver's license.                                                         |
| `permisConduireSimplified` | String | Driver's license simplified.                                              |
| `certifications`     | Array   | Certifications.                                                           |
| `etudes`             | Array   | Studies.                                                                  |
| `dateModification`   | String  | Date of modification.                                                     |
| `competencies`       | Array   | Competencies.                                                             |
| `googleForJobMetadata` | Object | Google for Jobs metadata.                                                 |
| `url`                | String  | URL of the job offer.                                                     |

### Support Our Work 💝

If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. It will take you less than a minute but it will mean a lot to us!

Image Credit: https://leforem.be

# Actor input Schema

## `keyword` (type: `string`):

Company, reference, or profession keyword.

## `s` (type: `string`):

Search locution operator (e.g. ET/OU).

## `place` (type: `array`):

Select from suggestions or enter custom names/GUIDs.

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

Maximum number of job listings to scrape.

## `job` (type: `array`):

Select from common jobs or enter custom names/GUIDs.

## `contractType` (type: `array`):

Type of employment contract.

## `studyLevel` (type: `array`):

Filter by study level.

## `experience` (type: `array`):

Required years/level of experience.

## `workingTime` (type: `array`):

Filter by working time.

## `workingSchedule` (type: `array`):

Filter by working schedule.

## `language` (type: `array`):

Filter by language.

## `certification` (type: `array`):

Filter by certifications.

## `driversLicense` (type: `array`):

Filter by drivers license.

## `activity` (type: `array`):

Select from common activities or enter custom names/GUIDs.

## `benefits` (type: `array`):

Filter by benefits (e.g. Chèque-repas).

## `source` (type: `array`):

Filter by source (e.g. Adecco).

## `releaseDate` (type: `string`):

Filter jobs released on or after this date.

## `proxyConfiguration` (type: `object`):

Proxy settings for the scraper.

## Actor input object example

```json
{
  "keyword": "software",
  "s": "ET",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (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 = {
    "keyword": "software"
};

// Run the Actor and wait for it to finish
const run = await client.actor("lexis-solutions/leforem-be-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 = { "keyword": "software" }

# Run the Actor and wait for it to finish
run = client.actor("lexis-solutions/leforem-be-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 '{
  "keyword": "software"
}' |
apify call lexis-solutions/leforem-be-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=lexis-solutions/leforem-be-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/djuPmg2hQTTiI7puT/builds/WqdNvSpAhhxW1jym8/openapi.json