Pricing

Pay per usage

Leforem.be Scraper

Automate job data collection from Leforem.be. Get real-time access to Belgian job postings with complete details. Ideal for career tracking, recruiter databases, and competitive job market analysis.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Shahid Irfan

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Why This Actor

API-based extraction for better stability and speed.
Optional detail enrichment per offer.
Automatic cleanup of empty and null fields before saving dataset items.
Search by keyword, location, and advanced Leforem filters.
Pagination control for predictable runs and costs.

Use Cases

Recruitment Monitoring

Track fresh listings by keyword and location to keep talent pipelines updated.

Labor Market Research

Build datasets for trend analysis across roles, employers, and work conditions.

Data Enrichment Pipelines

Feed job intelligence into BI dashboards, internal tools, and matching systems.

Input

Parameter	Type	Required	Default	Description
`keyword`	String	No	`developpeur`	Search keyword(s)
`location`	String	No	`Liege`	Comma-separated city/region names
`startUrl`	String	No	—	Optional search URL
`operateur`	String	No	`ET`	Keyword operator (`ET` or `OU`)
`dateDiffusionMin`	String	No	—	Minimum publication date (`YYYY-MM-DD`)
`collectDetails`	Boolean	No	`true`	Include extended fields for each offer
`results_wanted`	Integer	No	`20`	Maximum number of offers to save
`max_pages`	Integer	No	`10`	Safety cap for pagination
`maxConcurrency`	Integer	No	`5`	Parallel processing level
`filtres`	Array	No	`[]`	Advanced filter list
`filtresCodifies`	Array	No	`[]`	Advanced coded filters
`metier`	Array	No	`[]`	Optional metier values
`secteur`	Array	No	`[]`	Optional secteur values
`priority`	Integer	No	`1`	Priority value
`proxyConfiguration`	Object	No	`{ useApifyProxy: true }`	Proxy settings

Minimal example:

{
  "keyword": "developpeur",
  "location": "Liege",
  "results_wanted": 20,
  "max_pages": 3,
  "collectDetails": true
}

Output

Each dataset item contains standardized offer fields.

Field	Type	Description
`id`	Number	Offer identifier
`numero`	String	Offer reference number
`titre`	String	Job title
`nomEmployeur`	String	Employer name
`lieuxTravail`	Array	Work location(s)
`typeContrat`	String	Contract type
`regimeTravail`	String	Work schedule
`publication`	String	Publication label
`detailUrl`	String	Link to offer detail page

When collectDetails is enabled, additional rich fields such as requirements, competencies, application instructions, and employer details are included when available.

Null and empty values are automatically removed from final output records.

Sample Output

{
  "id": 1854024,
  "numero": "1854024",
  "titre": "Analyste-developpeur informatique (H/F/X)",
  "nomEmployeur": "Intercommunale namuroise de Services publics",
  "lieuxTravail": ["Naninne"],
  "typeContrat": "Duree indeterminee",
  "regimeTravail": "Temps plein",
  "publication": "Publie hier",
  "detailUrl": "https://www.leforem.be/recherche-offres/offre-detail/1854024"
}

Local Run

npm install
npm start

The actor reads input from INPUT.json for local execution.

Notes

For large runs, use proxy configuration and moderate concurrency.
Use smaller results_wanted values during testing, then scale gradually for production runs.

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