sportradar api的python包装
sportradar的Python项目详细描述
SportRadar API
这是由Sportradar提供的运动api的python包装器。您需要sign up才能让api密钥使用该服务。sportradar提供免费试用评估，每秒最多1个查询，可提供1000个api查询。
支持的API
| Sport | Wrapper | Tests |
|---|---|---|
| Soccer :soccer: | :heavy_check_mark: | :heavy_check_mark: |
| NBA :basketball: | :heavy_check_mark: | :heavy_check_mark: |
| WNBA :basketball: | :heavy_check_mark: | :heavy_check_mark: |
| NFL :football: | :heavy_check_mark: | :heavy_check_mark: |
| NHL :trophy: | :heavy_check_mark: | :heavy_check_mark: |
| Tennis :tennis: | :heavy_check_mark: | :heavy_check_mark: |
| MLB :baseball: | :heavy_check_mark: | :heavy_check_mark: |
| Darts :dart: | :heavy_check_mark: | :heavy_check_mark: |
| Beach volleyball :palm_tree: | :heavy_check_mark: | :heavy_check_mark: |
| Golf :golf: | :heavy_check_mark: | :heavy_check_mark: |
| NASCAR :red_car: | :heavy_check_mark: | :heavy_check_mark: |
| LoL :video_game: | :heavy_check_mark: | :heavy_check_mark: |
| Dota2 :video_game: | :heavy_check_mark: | :heavy_check_mark: |
安装
开始使用这个包的最简单方法是通过PyPI使用pip：
$pip install sportradar
如果您希望克隆存储库并手动安装软件包，请执行以下步骤：
- 克隆此回购协议：
$git clone https://github.com/johnwmillr/SportradarAPIs.git - 输入克隆的目录：
$cd SportradarAPIs - 安装：
$python setup.py install
用法
以下是如何使用该软件包下载2018年国际足联世界杯数据的简要演示。
fromsportradarimportSoccer# Create an instance of the Sportradar Soccer API classsr=Soccer.Soccer("paste your api key here")# Get a list of all tournamentstournaments=sr.get_tournaments().json()# Get info on the 2018 World Cup (Teams, Rounds, etc.)worldcup=sr.get_tournament_info(tournaments['tournaments'][4]['id']).json()# Get more information on each team in the World Cupteams=[]team_counter=0forgroupinworldcup['groups']:forteamingroup['teams']:team_counter+=1team_id=team['id']team_name=team['name']print("({}): {}, {}".format(team_counter,team_name,team_id))try:teams.append(sportsradar.get_team_profile(team_id).json())exceptExceptionase:print("Error: {}".format(e))time.sleep(5)# wait 5 seconds before next API call# Save the team data to a .json fileprint("Saving the data...",end="",flush=True)withopen("world_cup_team_data.json","w")asoutfile:json.dump(teams,outfile)print(" Done.")
示例项目
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