Leforem.be Scraper — Wallonia Belgium Job Listings & Contacts

What does Leforem.be Scraper do?

Leforem.be Scraper extracts structured job data from leforem.be — including salary data, contact details, company metadata, full descriptions, and skill tags. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
• Detail enrichment — full descriptions, company metadata, and contact information where the source provides them.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from leforem.be?

Each result includes Core listing fields (jobId, offreId, title, logoUrl, contractType, workRegime, workSchedule, and locations, and more), detail fields when enrichment is enabled (description, jobDescription, salaryBenefits, and benefitsComments), contact and apply information (contactEmail, contactName, contactFunction, and applyUrl), and company metadata (employerName, employerSector, and employerDescription). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions, company metadata, and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Search by profession name (e.g. "développeur", "infirmier", "chauffeur"). Matched against Le Forem's profession taxonomy. Leave empty to browse all listings.
• location — City, commune, or arrondissement in Wallonia (e.g. "Liège", "Namur", "Charleroi"). Leave empty to search all Belgium.
• contractType — Filter by contract type (e.g. "Durée indéterminée", "Intérimaire", "Durée déterminée").
• workRegime — Filter by work regime: "Temps plein" (full-time) or "Temps partiel" (part-time).
• workSchedule — Filter by work schedule (e.g. "Travail de jour", "Travail posté 2 pauses", "Travail de nuit").
• educationLevel — Filter by required education level (e.g. "Baccalauréat", "Enseignement secondaire", "Master").
• experienceLevel — Filter by required experience (e.g. "Pas d'expérience", "Moins de 2 ans", "De 2 à 5 ans").
• sector — Filter by industry/activity sector (e.g. "Construction", "Soins de santé", "Activités liées à l'emploi").
• language — Filter by required language (e.g. "Français", "Néerlandais", "Anglais").
• certification — Filter by required certification (e.g. "Brevet de cariste", "Diplôme VCA").
• source — Filter by job board or source (e.g. "Le Forem", "Accent Job", "Manpower").
• sortBy — Sort results by date. Default is relevance order.
• ...and 7 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "développeur",
  "maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "query": "développeur",
  "contractType": "Durée indéterminée",
  "educationLevel": "Baccalauréat",
  "experienceLevel": "Pas d'expérience",
  "maxResults": 100
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "développeur",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "développeur-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "développeur",
  "contractType": "Durée indéterminée",
  "educationLevel": "Baccalauréat",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "6182a79c116819b7f34bca6ccbac9a59f9083bbc1cc3e4d5e37c80fecef55500",
  "offreId": "1851670",
  "title": "Project Engineer FR/ANG  (H/F/X)",
  "employerName": "L.I.P. Belgique - L.I.P. Belgique",
  "logoUrl": "https://www.leforem.be/recherche-offres/api/document/logo/4218cdc8-bea0-4b8e-bd4e-08de8dbac3bc",
  "contractType": "Durée indéterminée",
  "workRegime": "Temps plein",
  "workSchedule": null,
  "locations": [
    "Arrondissement de Mons"
  ],
  "languages": [
    {
      "code": "EN",
      "libelle": "Anglais",
      "experience": "B2 - Avancé",
      "comment": "Bonne maitrise de l'anglais réquise. "
    }
  ],
  "contactEmail": "mons@groupelip.com",
  "contactName": "Julie Tourret",
  "contactFunction": null,
  "applyUrl": null,
  "positionsAvailable": 1,
  "sectors": [
    "Activités des agences de placement de main-d'oeuvre"
  ],
  "isPostulable": true,
  "profession": "Responsable recherche-développement en industrie",
  "employerSector": "Activités des agences de placement de main-d'oeuvre",
  "description": "<p><!-- x-tinymce/html --></p>\n<ul>\n<li>Atouts : connaissances informatiques techniques (Excel, Word, Autocad),</li>\n<li>Qualit&eacute;s : relationnel, capacit&eacute; d&rsquo;adaptation, autonome, fl...",
  "jobDescription": "<p><strong>Vos t&acirc;ches principales seront les suivantes :</strong></p>\n<ul>\n<li>G&eacute;rer les projets d&rsquo;investissements et de support technique dans les domaines li&eacute;s &agrave; nos...",
  "employerDescription": null,
  "startDate": null,
  "shift": null,
  "salaryBase": null,
  "salaryBenefits": [],
  "benefitsComments": "<p></p>\n<p><strong>Ce que nous offrons&nbsp;:</strong></p>\n<ul>\n<li>CDI,</li>\n<li>Temps plein,</li>\n<li>Salaire en fonction du profil + avantages extra-l&eacute;gaux.</li>\n</ul>\n<p>Nous ne contacteron...",
  "softSkills": [],
  "officeSkills": [],
  "competencies": [],
  "jobExperience": [
    {
      "code": "H120601-1",
      "libelle": "Responsable recherche-développement en industrie",
      "experience": "Entre 2 et 5 ans - "
    }
  ],
  "educationLevel": [
    "Formation supérieure initiale de type long (Master)"
  ],
  "drivingLicenses": [],
  "certifications": [],
  "employmentAid": null,
  "employmentAidUrl": null,
  "datePosted": "2026-04-03T22:00:00.000Z",
  "dateExpires": "2026-04-10T22:00:00.000Z",
  "dateModified": "2026-04-04T00:00:00.000Z",
  "portalUrl": "https://www.leforem.be/recherche-offres/offre-detail/1851670",
  "scrapedAt": "2026-04-04T14:35:24.380Z",
  "source": "leforem.be",
  "changeType": null
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape leforem.be

1. Go to Leforem.be Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, or company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from leforem.be for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape leforem.be?

Leforem.be Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1.01

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.21	$0.02	$0.19 (90%)	$0.60
15% — moderate broad query	$0.21	$0.04	$0.17 (81%)	$1.20
30% — high-volume aggregator	$0.21	$0.07	$0.14 (67%)	$2.10

Full re-scrape monthly cost at daily polling: $6.30. First month with incremental costs $0.79 / $1.37 / $2.24 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from leforem.be?

The number of results depends on the search query and available listings on leforem.be. Use the maxResults parameter to control how many results are returned per run.

Does Leforem.be Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Leforem.be Scraper with other apps?

Yes. Leforem.be Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Leforem.be Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Leforem.be Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape leforem.be?

This actor extracts publicly available data from leforem.be. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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