BSK Immobilier advisors

For sales teams, recruiters, and data analysts who need a structured export of BSK Immobilier mandataires across France: names, professional emails, phones, RSAC references, coverage areas, social links, and listing counts — ready for CRM import or enrichment workflows.

What it extracts

Category	Fields
Identity	displayName, firstName, lastName, agentId, slug, profileUrl
Contact	email, phones
Compliance	rsacNumber, rsacCity
Geography	subtitle, city, postCode, lat, lng
Media & social	photoUrl, facebookUrl, linkedinUrl, instagramUrl, immodvisorUrl
Activity	adsCount, chargeType, aboutBrief

Important

• Public data only — Information comes from the public BSK directory. Use it in line with GDPR, e-marketing rules, and BSK’s terms of use.
• Field gaps — Some advisors may omit email, phone, or social URLs; those fields can be empty.
• Full runs — The national directory is large; allow enough run time and memory for full exports.

Quick start (Apify Console)

1. Create a task from this Actor.
2. Choose Full directory or URLs (see below).
3. Start the run and open Dataset for JSON or CSV export.

Modes

• Full directory — Collects all advisors from the public listing (optionally cap with maxResults).
• URLs — Paste profile URLs like https://bskimmobilier.com/your-name-12345/. The Actor resolves each id against the public index.

Input

Field	Description
mode	list (full directory) or urls (profile URLs only).
startUrls	Profile URLs — URLs mode only.
maxResults	0 = no cap. Use a small number for tests.
concurrency	Parallelism for writing dataset rows.
listConcurrency	Parallelism for directory requests in list mode.
fetchTimeout	Per-request timeout in milliseconds.

JSON example (full directory, capped)

{
  "mode": "list",
  "maxResults": 100
}

JSON example (URLs)

{
  "mode": "urls",
  "startUrls": [
    { "url": "https://bskimmobilier.com/marc-pages-11289/" }
  ]
}

How it works

1. Loads advisor records from the public directory feed.
2. Normalizes phones, geography, and links into flat rows.
3. Pushes one dataset item per advisor.

Output sample

{
  "agentId": 11289,
  "slug": "marc-pages-11289",
  "profileUrl": "https://bskimmobilier.com/marc-pages-11289",
  "displayName": "Marc Pages",
  "firstName": "Marc",
  "lastName": "Pages",
  "email": "example@domain.com",
  "phones": ["+33 6 12 34 56 78"],
  "city": "Paris",
  "postCode": "75001",
  "rsacNumber": "123456789",
  "adsCount": 12
}

Local development

npm install
npm test
apify run

• Local runs use input.json when you are not on the Apify platform; task input from the platform still overrides when deployed.
• Dataset is stored under storage/datasets/default/. A UTF-8 output.csv may be written at the project root on successful local runs.

Support

Contact corentin@outreacher.fr if you need a custom scraper, extra fields, or automation around this data.