dbb-ranking-parser 1.0.0

Website

The official micro website is at: https://homework.nwsnet.de/releases/4a51/#dbb-ranking-parser

Code Status

Requirements

• Python 3.9+

• lxml

Installation

Install this package via pip:

$ pip install dbb-ranking-parser

Pre-built binaries (so-called Python “wheels”) should be available for supported Python versions and most architectures.

If not, however, it can be necessary to install a compiler and certain header files (for the targeted Python version as well as those for libxml2 and libxslt) so that lxml can be built from source.

On Debian Linux, one should be able to install these from the distribution’s repositories (as the ‘root’ user):

# aptitude update
# aptitude install build-essential python3.9-dev libxml2-dev libxslt1-dev

Usage

To fetch and parse a league ranking, the appropriate URL is required.

It can be obtained on the DBB website. On every league’s ranking page there should be a link to a (non-“XL”) HTML print version.

Its target URL should look like this (assuming the league’s ID is 12345): https://www.basketball-bund.net/public/tabelle.jsp?print=1&viewDescKey=sport.dbb.views.TabellePublicView/index.jsp_&liga_id=12345

The league ID has to be identified manually in any of the URLs specific for that league (ranking, schedule, stats).

For convenience, specifying only the league ID is sufficient; the URL will be assembled automatically. (Obviously, this might break when the URL structure changes on the DBB website.)

from dbbrankingparser import load_ranking_for_league


league_id = 12345

ranking = list(load_ranking_for_league(league_id))

top_team = ranking[0]
print('Top team:', top_team['name'])

from dbbrankingparser import load_ranking_from_url


URL = '<see example above>'

ranking = list(load_ranking_from_url(URL))

$ dbb-ranking-parser get 12345
[{"name": "Team ACME", "rank": 1, …}]

$ dbb-ranking-parser serve
Listening for HTTP requests on 127.0.0.1:8080 ...

$ curl http://localhost:8080/12345
[{"name": "Team ACME", "rank": 1, …}]

Docker

DBB Ranking Parser can also be run in a Docker container. This avoids the local creation of a virtual environment and the installation of the packages, or be useful in a deployment where containers are used.

Building a Docker image requires:

• Docker being installed

• a source copy of the dbb-ranking-parser package

In the package path:

$ docker build -t dbb-ranking-parser .

This should build a Docker image based upon Alpine Linux and which includes Python 3, lxml and the DBB Ranking Parser itself. It should be roughly 70 MB in size.

Running the Docker container accepts the same arguments as the command line script.

To fetch a single ranking:

$ docker run --rm dbb-ranking-parser get 12345
[{"name": "Team ACME", "rank": 1, …}]

To spin up the HTTP server on port 7000 of the host machine:

$ docker run -p 7000:8080 --rm dbb-ranking-parser serve --host 0.0.0.0 --port 8080

The --rm option causes a container (but not the image) to be removed after it exits.

Author

DBB Ranking Parser was created and is maintained by Jochen Kupperschmidt.

License

Copyright (c) 2006-2025 Jochen Kupperschmidt

DBB Ranking Parser is licensed under the MIT License.

The license text is provided in the LICENSE file.