A web scraper for collecting data from Transfermarkt website. It recurses into the Transfermarkt hierarchy to find competitions, games, clubs, players, appearances, national teams and their competitions, and extract them as JSON objects.
The scraper follows two parallel hierarchies:
# Club football
Confederations ====> Competitions ====> Clubs ====> Players ====> Appearances
====> Games ====> Game Lineups
====> Tournament Editions ====> Games
# International football
Confederations ====> Countries ====> National Teams ====> Players ====> Appearances
====> Competitions (national team competitions: World Cup, Euros, etc.)Each one of these entities can be discovered and refreshed separately by invoking the corresponding crawler.
This project uses Crawlee for Python and can be run with the CLI entry point. All dependencies can be installed using poetry.
cd transfermarkt-scraper
poetry install
poetry shellThese are some usage examples for how the scraper may be run.
# discover confederations and competitions on separate invocations
python -m tfmkt confederations > confederations.json
python -m tfmkt competitions -p confederations.json > competitions.json
# you can use intermediate files or pipe crawlers one after the other to traverse the hierarchy
cat competitions.json | head -2 \
| python -m tfmkt clubs \
| python -m tfmkt players \
| python -m tfmkt appearances
# scrape national team competitions (World Cup, Euros, Nations League, etc.)
# these are emitted alongside domestic competitions when running the competitions crawler
python -m tfmkt confederations \
| python -m tfmkt competitions \
| grep -v '"country_name"' > national_team_competitions.json
# scrape national team squads
python -m tfmkt confederations \
| python -m tfmkt countries \
| python -m tfmkt national_teams > national_teams.json
# scrape players from a national team squad
cat national_teams.json | head -1 | python -m tfmkt players
# list all historical World Cup editions (year, winner, season id)
echo '{"type":"competition","competition_type":"world_cup","href":"/world-cup/startseite/pokalwettbewerb/FIWC","competition_name":"World Cup"}' \
| python -m tfmkt tournament_editions > world_cup_editions.json
# scrape games for a specific World Cup edition
# note: Transfermarkt uses season=<year-1> for summer tournaments (e.g. 2021 for Qatar 2022)
echo '{"type":"competition","competition_type":"world_cup","href":"/world-cup/startseite/pokalwettbewerb/FIWC","competition_name":"World Cup"}' \
| python -m tfmkt games --season 2021 > world_cup_2022_games.json
# scrape games for UEFA Euro 2024 (season=2023 on Transfermarkt)
echo '{"type":"competition","competition_type":"uefa_euro","href":"/uefa-euro/startseite/pokalwettbewerb/EURO","competition_name":"UEFA Euro"}' \
| python -m tfmkt games --season 2023 > euro_2024_games.jsonAlternatively you can also use dcaribou/transfermarkt-scraper docker image
docker run \
-ti -v "$(pwd)"/.:/app \
dcaribou/transfermarkt-scraper:main \
python -m tfmkt competitions -p samples/confederations.jsonItems are extracted in JSON format with one JSON object per item, which get printed to the stdout. Samples of extracted data are provided in the samples folder.
| Crawler | Input | Output | Notes |
|---|---|---|---|
confederations |
— | Confederation | 5 items: Europa, América, África, Asia, FIFA |
competitions |
Confederation | Competition | Domestic + national team competitions per confederation |
countries |
Confederation | Country | One item per country (league-bearing nations) |
clubs |
Competition (first_tier) |
Club | Club squads with market value, coach, stadium |
national_teams |
Country | National Team | Senior national team per country |
players |
Club or National Team | Player | Full player profile including market value history |
appearances |
Player | Appearance | Per-match stats for every game played |
tournament_editions |
Competition | Tournament Edition | Historical editions with year, season, winner, coach |
games |
Competition | Game | Match result, events, managers. Use --season to select the edition (e.g. --season 2021 for Qatar 2022, --season 2023 for Euro 2024) |
game_lineups |
Game | Game Lineups | Starting XI, substitutes, formation |
Check out transfermarkt-datasets to see transfermarkt-scraper in action on a real project.
-p/--parents: Crawler "parents" are either a file or a piped output with the parent entities. For example,competitionsis parent ofclubs, which in turn is a parent ofplayers.-s/--season: The season that the crawler is to run for. It defaults to the most recent season.--base-url: Override the base Transfermarkt URL.
Extending existing crawlers in this project in order to scrape additional data or even creating new crawlers is quite straightforward. If you want to contribute with an enhancement to transfermarkt-scraper I suggest that you follow a workflow similar to
- Fork the repository
- Modify or add new crawlers to
tfmkt/crawlers. Here is an example PR that extends thegamescrawler to scrape a few additional fields from Transfermakt games page. - Create a PR with your changes and a short description for the enhancement and send it over 🚀
It is usually also a good idea to have a short discussion about the enhancement beforehand. If you want to propose a change and collect some feeback before you start coding you can do so by creating an issue with your idea in the Issues section.