Laforêt France Agencies · Managers, Teams & Phones

Export every Laforêt real estate agency in France with its phone, address, GPS, opening hours, rating, number of listings, manager and named team (first name, last name, role). One row per agency, or one row per team member for a direct CRM import.

The whole Laforêt network (712 agencies) in one run. No login. No API key.

Who is this for?

Persona	Typical goal	Suggested setup
Real estate network recruiters (mandataire networks, franchises)	Reach agency managers and negotiators by city	One row per: Team member, Departments: your region
Proptech and software vendors (CRM, e-signature, virtual tours)	Call agency managers with a named contact	One row per: Agency, Departments: empty
Diagnostic, mortgage broker and home-service partners	Build local agency partnerships	Departments: your area, Cities: your towns
Franchise developers and M&A advisors	Map Laforêt coverage, team sizes and listing volume	One row per: Agency, Max rows: 0
Market researchers	Compare agency density and ratings by department	One row per: Agency, Departments: a few

What you get by default. One row per agency with phone, address, GPS, hours, rating, listings for sale and for rent, the manager and the full named team. On a sample of 60 agencies spread across France, 97% publish a named team, 92% name a manager, and teams average 6.8 people. Agencies do not publish email addresses on their Laforêt page, so rows carry the agency phone, not an email. A few agencies publish the RSAC number of their self-employed agents; the Actor extracts it when present (rare: 2 of 405 people in the sample).

Quick start

1. Optionally type department codes (75 is preselected). Leave empty for the whole network.
2. Choose one row per agency or one row per team member.
3. Click Start. Rows appear as soon as each agency is read.

Free Apify accounts get up to 20 rows per run. Paid plans export the full network.

Ready-made examples

• Paris Laforêt agencies with managers and phones: {"departments": ["75"]}
• Lyon and Rhône agency teams, one row per person: {"departments": ["69"], "outputMode": "people"}
• The whole Laforêt network in France: {"maxItems": 0}
• Bordeaux and Gironde agencies: {"departments": ["33"]}

What it extracts

• Agency: Laforêt agency ID, name, phone (E.164 and display), street address, postal code, city, department, latitude, longitude, opening hours, rating and review count, listings for sale, listings for rent, Laforêt page URL.
• People: manager name and role, full team with first name, last name, role, role category (manager, sales, rental and property management, assistant, independent agent) and RSAC number when published.

Fill rates

Real run of 20 agencies in Paris (local run, 15 October 2026):

Field	Fill rate
Phone	100%
Address, postal code, city, GPS	100%
Opening hours	100%
Rating	90%
Listings for sale	100%
Manager	95%
Named team	100%
Email	0% (not published by the network)

One row per person (20 rows, Gironde, Rhône and Haute-Garonne): full name, role, agency phone and address 100%.

Limitations

• No email addresses: Laforêt agency pages only show a phone and a contact form.
• Team members are listed with their role, not their direct phone.
• RSAC numbers appear only when the agency publishes them.
• Ratings are the reviews shown on the Laforêt page; agencies without reviews have no rating.

Input

Field	Type	Default	Description
departments	array	["75"]	Department codes such as 75, 31, 69, 2A. Empty = whole network.
cities	array	empty	Keep agencies whose city or postal code contains one of these values.
outputMode	string	agencies	agencies (one row per agency, team as a list) or people (one row per team member).
maxItems	integer	20	Stop after this many rows. 0 = no cap.

API-only options (not in the form): concurrency (parallel agency pages, default 4, max 8), onlyIndependentAgents (keep only rows with an RSAC number), verboseLogs (technical log lines for debugging).

{
  "departments": ["33", "69"],
  "outputMode": "people",
  "maxItems": 500
}

How it works

1. Reads the Laforêt agency directory: the department pages you asked for, or the full network list when no department is set.
2. Opens each agency page and reads its public structured data (phone, address, GPS, hours, rating) and the "Our team" section.
3. Each row is billed and pushed as soon as it is complete.

Output sample

Real row from a test run (15 October 2026), team shortened to two people:

{
  "agency_id": "385502",
  "agency_name": "Laforêt PARIS 19 JOURDAIN",
  "phone": "+33148037171",
  "phone_display": "01 48 03 71 71",
  "address": "161 rue de Belleville",
  "postal_code": "75019",
  "city": "PARIS 19EME",
  "department_code": "75",
  "department": "Paris",
  "latitude": 48.875524,
  "longitude": 2.391313,
  "rating": 4.6,
  "review_count": 63,
  "listings_for_sale": 11,
  "listings_for_rent": null,
  "manager_name": "Julien GAGO",
  "manager_role": "Gérant",
  "team": [
    {
      "name": "Julien GAGO",
      "first_name": "Julien",
      "last_name": "GAGO",
      "role": "Gérant",
      "role_category": "manager",
      "rsac_siren": null
    },
    {
      "name": "PORTE Maxime",
      "first_name": "PORTE",
      "last_name": "Maxime",
      "role": "Conseiller immobilier",
      "role_category": "sales",
      "rsac_siren": null
    }
  ],
  "team_size": 2,
  "profile_url": "https://www.laforet.com/agence-immobiliere/paris19jourdain"
}

How much does it cost to scrape Laforêt agencies?

Pay per event: $0.05 per run, then one charge per row. An agency row costs $0.003 (Free plan) down to $0.002 (Diamond). A team member row costs $0.001 down to $0.0006 ($0.002 down to $0.0012 when an RSAC number is published).

Scenario	Free	Gold	Diamond
20 agencies (Free plan test)	$0.11	$0.10	$0.09
One department, 25 agencies	$0.12	$0.11	$0.10
Whole network, 712 agencies	$2.19	$1.69	$1.47
Whole network, one row per person (about 4,842 people)	$4.89	$3.44	$2.96

You can set a maximum cost per run in Apify: the Actor stops cleanly when your budget is reached and never exports a row it could not charge.

Is it legal to scrape Laforêt agencies?

This Actor collects business information that agencies publish on their public pages: agency contact details and the names and roles of their staff. It does not log in and does not extract private user data. Personal data is protected by GDPR in the EU and by other laws worldwide; you should not collect it without a legitimate reason, and B2B prospecting must respect the right to object. If you are unsure, consult a lawyer. See also Apify's blog post on the legality of web scraping.

Also available

• Century 21 France Agencies · SIREN, Managers & Phones
• Nestenn Agences · Agency Emails & Phones France
• SAFTI France consultants
• French Real Estate Agents · Multi-Network CRM

Local development

npm install
npm test                      # unit tests (node --test)
apify run --input-file=.actor/INPUT.json

Contact

Questions, a custom field or a bigger export: corentin@outreacher.fr