FFF Football Clubs · French Directory

Export French football club contacts from the public FFF (Fédération Française de Football) club directory. Pick a department (or nationwide) and get one row per club: name, address, published email and phone, website, GPS and social links when the federation published them.

No login. No API key. No federation account. Emails, phones and websites are published on the public club directory — this Actor does not log in.

Who is this for?

You are…	Typical goal	Suggested setup
Sportswear or equipment brand	Prospect list of clubs that buy kits, balls, goals	One department first, then All departments
Tournament or event organiser	Clubs that can host or fill a competition	Your département + neighbouring codes
Agency / outbound	CRM feed with mailbox, phone and website	Overview or Outreach CRM view
Local authority / school sport	Territory map of football clubs	One code, then neighbours
Data / ops	Scheduled master table of the federation	departments: ["ALL"], maxItems: 0

What you get by default. Club name, department, town, address, GPS, FFF club page, website, email and phone when the federation published them. Facebook and Instagram URLs when they appear in the public contacts. Generic federation mailboxes (contact@fff.fr and other @fff.fr inboxes) and district-only shells are skipped. This Actor never invents a mailbox.

When to go nationwide. Use All departments on a paid plan with maxItems: 0. Corsica (2A / 2B) and overseas departments are included. A full France export is a long run — keep the Try example on Paris with 20 clubs.

How to use

1. Open the Actor in Apify Console.
2. Pick one or more departments, or All departments.
3. Keep Max clubs at 20 for a first run (Free plan is always 20 per run). Set 0 on a paid plan for a full export of the selection.
4. Click Start. Rows appear in the Dataset while the run is still listing other departments.

Ready-made examples (published tasks)

Example	Best for
Find Paris football clubs with published contacts	First run / Île-de-France
Rhône football clubs, CRM-ready emails and phones	CRM import
La Réunion FFF football club directory	Overseas department
Find Ain football clubs from the FFF directory	B2B test / Auvergne-Rhône-Alpes

Landing page URLs appear after each task is published in Console.

What it extracts

Category	Fields
Identity	Club name, FFF affiliation number
Location	Department, town, postcode, address, GPS
Contact	Email, phone, website (when published)
Social	Facebook, Instagram (when published)
Source	FFF club information page

Typical coverage

On a Paris listing, every row has a club name, department and directory URL. Emails are public on the club directory (club mailboxes, not player accounts). Phone, website and social links follow what FFF shows — empty fields are omitted. This Actor never invents a mailbox or a number.

Input

Field	Type	Default	Notes
departments	array	["75"]	Department codes, or ALL for nationwide including Corsica. Omitted = Paris. Empty array = nationwide.
maxItems	integer	20	0 = no row ceiling. Free plan: 20 / run.

API-only keys

Not shown on the Console form. Safe defaults are already in code.

Key	Type	Default	Notes
maxConcurrency	integer	4	Departments in parallel (1–8)
delayBetweenRequests	integer	80	Pause between listing pages (ms)
proxyConfiguration	object	Unblocker on cloud	Pass via API/JSON if you need a custom proxy
verboseLogs	boolean	false	API-only debug traces

Examples

Paris (Try):

{ "departments": ["75"], "maxItems": 20 }

Nationwide, paid plan, no row ceiling:

{ "departments": ["ALL"], "maxItems": 0 }

Corsica (2A / 2B) and Alsace:

{ "departments": ["2A", "2B", "67", "68"], "maxItems": 0 }

Output sample

{
  "clubId": "500123",
  "structureNumber": "500123",
  "structureName": "Example Football Club",
  "departmentNumber": "75",
  "town": "PARIS",
  "postalCode": "75013",
  "address": "12 RUE EXAMPLE",
  "latitude": 48.829136,
  "longitude": 2.353732,
  "contactEmail": "contact@example-fc.fr",
  "contactPhone": "01 23 45 67 89",
  "website": "https://www.example-fc.fr",
  "facebookUrl": "https://www.facebook.com/examplefc",
  "instagramUrl": "https://www.instagram.com/examplefc",
  "url": "https://www.fff.fr/competition/club/500123-example-football-club/information.html"
}

You can download the dataset as JSON, HTML, CSV or Excel.

How it works

1. Reads the public FFF club directory for each selected department.
2. Keeps clubs whose department matches your selection (a district can cover more than one code).
3. Deduplicates clubs by affiliation number and skips federation headquarters and district-only shells.
4. Writes each row to the dataset as soon as it is complete.

How much does it cost to scrape FFF clubs?

HTTP-only — no browser. You pay pay-per-event on the Store: about $0.00749 per exported club plus a negligible run start.

Scenario	Approx. cost
20 clubs (Try / Free plan)	~$0.15
1,000 clubs	~$7.49
Full selection with maxItems: 0	$0.00749 × clubs exported

Is scraping FFF free?

Apify Free plan users get 20 clubs per run. Paid plans follow PPE and your max charge. Compute is cheap because this Actor does not launch a browser.

Is it legal to scrape FFF?

This Actor only accesses data that FFF makes publicly available in its club directory. As with any data containing personal information, ensure your use complies with GDPR and relevant regulations.

Local development

cd fff-clubs-scraper
npm install
apify run --input-file=./.actor/INPUT.json

storage/key_value_stores/default/INPUT.json must satisfy the input schema, or pass --input-file. On local apify run, platform/CLI input overwrites overlapping keys from a root input.json.

Support

Contact corentin@outreacher.fr if you need a custom scraper or tailored automation.

Also available

Also available as a pack: France Sports Clubs hub — merge several federations into one dataset.

Same job (French department → published club contacts). One Actor per federation.

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