Transfermarkt Scraper
by curious_coder
Extract football data from Transfermarkt pages—like player values, club stats, and competition info—directly into JSON, CSV, Excel, or RSS feeds.
Opens on Apify.com
About Transfermarkt Scraper
Need to pull reliable football data straight from Transfermarkt? This scraper is what I use to get competition stats, club finances, or player market values without the manual copy-pasting. It works on almost any page—whether you're looking at league tables, transfer histories, or squad rosters. You tell it what data you need, and it extracts everything cleanly into structured formats. I typically download my results as JSON or CSV for analysis, but it also supports Excel, XML, and even RSS if you want to set up automatic updates. It's straightforward: point it at the page, configure your fields, and run it. The data comes out ready for your database, spreadsheet, or app, saving hours you'd otherwise spend collecting it by hand. Perfect for building football analytics dashboards, tracking player valuations over time, or comparing club performance across seasons. If you work with football data, this handles the tedious part so you can focus on the insights.
What does this actor do?
Transfermarkt Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Transfermarkt Scraper
Scrapes sports data from transfermarkt.com. Provide a starting URL (like a player, club, or competition page), and the actor automatically identifies the page type and extracts the relevant structured data.
Key Features
- Automatic Page Type Detection: Works with player, club, competition, and other page types. Just provide the start URL.
- Simple Configuration: Primarily requires just the start URL, with a few optional parameters for control.
- Comprehensive Crawling: Can follow links (
crawlDepth) and pagination (pageDepth) to gather data beyond the initial page. - Structured Output: Returns clean, categorized JSON data ready for analysis.
How to Use
The scraper is designed for extracting data for analysis, such as:
* Scraping live scores and match statistics.
* Monitoring transfer activity and player valuations.
* Collecting historical game data for forecasting models.
* Building data-driven strategies for sports analytics.
Cost: Runs cost approximately 2.5 USD in platform credits per 1000 scraped results on the basic plan. Check your usage in the Apify Console under Settings -> Usage and Billing. For full pricing details, see the platform pricing page.
Tutorial: For a detailed guide, read the Transfermarkt scraper tutorial on the Apify blog.
Input Parameters
Configure the actor using these input fields:
startUrls(required): An array of one or more Transfermarkt URLs to begin scraping from.parallels(optional, default: 1): Number of parallel crawler sessions.crawlDepth(optional, default: 1): How many link levels deep to crawl from the start page(s). Set to1for the start page only.pageDepth(optional, default: 99999): How many pagination pages to scrape. The default is effectively unlimited.
Input Example
{
"startUrls": [
{ "url": "https://www.transfermarkt.com/lionel-messi/profil/spieler/28003" }
],
"proxyConfig": { "useApifyProxy": true },
"crawlDepth": 1,
"pageDepth": 1
}
Output
Results are stored in an Apify Dataset. You can download them in JSON, CSV, XML, and other formats after the run completes.
Output Example (Player Page)
{
"id": "28003",
"url": "https://www.transfermarkt.com/lionel-messi/profil/spieler/28003",
"type": "player",
"Name in home country": "Lionel Andrés Messi Cuccitini",
"Date of birth/Age": "Jun 24, 1987 (37)",
"Place of birth": "Rosario",
"Height": "1,70 m",
"Citizenship": ["Argentina", "Spain"],
"Position": "Attack - Right Winger",
"Foot": "left",
"Player agent": "Relatives",
"Current club": "Inter Miami CF",
"Joined": "Jul 15, 2023",
"Contract expires": "Dec 31, 2025",
"Outfitter": "adidas",
"transfers": [
{
"Season": "23/24",
"Date": "Jul 15, 2023",
"Left": "Paris SG",
"Joined": "Miami",
"MV": "€35.00m",
"Fee": "free transfer"
}
]
}
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Transfermarkt Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- curious_coder
- Pricing
- Paid
- Total Runs
- 47,878
- Active Users
- 2,690
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