Transfermarkt data api. Access market values, transfer history, contract details, and career stats for any player. Building a clean, public football (soccer) dataset using data in 1. Explore the Transfermarkt API documentation and Swagger UI for accessing football data and integrating it into your applications. Apr 11, 2025 · Clean, structured and automatically updated football data from Transfermarkt, including. In an nutshell, this project aims for three things: Acquiring data from the transfermarkt website using the trasfermarkt-scraper. and more! What does it contain? The dataset is composed of multiple CSV files with information on competitions, games, clubs, players and appearances that is automatically updated once a week. Perfect for sports analysts, fantasy football managers, and scouting professionals. To be able to join data player between FBref and Transfermarkt, player_dictionary_mapping() has been created. Scrape and extract data from competition, club or player pages, or almost any Transfermarkt page. Download your data as HTML table, JSON, CSV, Excel, XML, and RSS feed. 🏃♂️ Extract comprehensive football player & club data via our Transfermarkt API scraper. Automating 1 and 2 to keep assets up to date and publicly available on some well-known data catalogs. This project provides a lightweight and easy-to-use interface for extracting data from Transfermarkt by applying web scraping processes and offering a RESTful API service via FastAPI. . There are over 6,100 players who have been listed for teams in the Big 5 Euro leagues on FBref since the start of the 2017-18 seasons, with all of these mapped together. nlwrqk kkmy njerc lenns jntxux pvlcid ppub cix vkjm lffons