The Bundesliga Salaries API is designed to extract and serve data on player wages in the German Bundesliga tournament, sourced from reliable salary reports. The API offers segmented endpoints, allowing users to retrieve only the necessary data without overloading responses. Users can query specific teams, weekly wages, and annual wages, apply filtering options, and retrieve rankings based on salary figures. This structure ensures better data exploration and supports financial and performance analysis related to team spending.
{"Bundesliga_teams":["1. FC Heidenheim 1846","1. FC Union Berlin","Bayer Leverkusen","Bayern Munich","Borussia Dortmund","Borussia Monchengladbach","Eintracht Frankfurt","F. C. Augsburgo","Holstein Kiel","Mainz","RB Leipzig","SC Freiburg","St Pauli","TSG Hoffenheim","VfB Stuttgart","VfL Bochum","VfL Wolfsburg","Werder Bremen"]}
curl --location --request POST 'https://zylalabs.com/api/6191/bundesliga+salaries+api/8632/bundesliga+teams' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
{"squad":"Heidenheim","weekly_wages":"\u20ac 295,192","annual_wages":"\u20ac 15,350,000","estimated_percentage":"96%"}
curl --location --request POST 'https://zylalabs.com/api/6191/bundesliga+salaries+api/8633/acquire+wages+expenditure+by+team' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"team":"Required"}'
{"players":[{"name":"Harry Kane","weekly_wages":"\u20ac 480,769","annual_wages":"\u20ac 25,000,000"},{"name":"Manuel Neuer","weekly_wages":"\u20ac 403,846","annual_wages":"\u20ac 21,000,000"},{"name":"Thomas M\u00fcller","weekly_wages":"\u20ac 394,231","annual_wages":"\u20ac 20,500,000"},{"name":"Joshua Kimmich","weekly_wages":"\u20ac 375,000","annual_wages":"\u20ac 19,500,000"},{"name":"Serge Gnabry","weekly_wages":"\u20ac 362,885","annual_wages":"\u20ac 18,870,000"},{"name":"Kingsley Coman","weekly_wages":"\u20ac 326,923","annual_wages":"\u20ac 17,000,000"},{"name":"Leroy San\u00e9","weekly_wages":"\u20ac 288,462","annual_wages":"\u20ac 15,000,000"},{"name":"Michael Olise","weekly_wages":"\u20ac 259,615","annual_wages":"\u20ac 13,500,000"},{"name":"Leon Goretzka","weekly_wages":"\u20ac 250,000","annual_wages":"\u20ac 13,000,000"},{"name":"Kim Min-jae","weekly_wages":"\u20ac 230,769","annual_wages":"\u20ac 12,000,000"},{"name":"Alphonso Davies","weekly_wages":"\u20ac 216,346","annual_wages":"\u20ac 11,250,000"},{"name":"Dayot Upamecano","weekly_wages":"\u20ac 192,308","annual_wages":"\u20ac 10,000,000"},{"name":"Jo\u00e3o Palhinha","weekly_wages":"\u20ac 192,308","annual_wages":"\u20ac 10,000,000"},{"name":"Alexander N\u00fcbel","weekly_wages":"\u20ac 125,000","annual_wages":"\u20ac 6,500,000"},{"name":"Jamal Musiala","weekly_wages":"\u20ac 96,154","annual_wages":"\u20ac 5,000,000"},{"name":"Mathys Tel","weekly_wages":"\u20ac 96,154","annual_wages":"\u20ac 5,000,000"},{"name":"Eric Dier","weekly_wages":"\u20ac 96,154","annual_wages":"\u20ac 5,000,000"}]}
curl --location --request POST 'https://zylalabs.com/api/6191/bundesliga+salaries+api/8634/get+player+wages+by+team' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"team":"Required"}'
| Header | Description |
|---|---|
Authorization
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[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
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The Bundesliga Salaries API allows you to retrieve structured salary data for Bundesliga teams, including team names, weekly wages, annual wages, and individual player salaries.
You can apply filtering options in your API queries to retrieve specific data, such as salaries for particular teams or players, as well as weekly or annual wage figures.
Yes, the Bundesliga Salaries API supports ranking teams based on salary figures, enabling users to analyze team spending and financial performance.
The segmented endpoints in the Bundesliga Salaries API allow users to retrieve only the necessary data, reducing response overload and improving the efficiency of data queries.
The Bundesliga Salaries API allows you to retrieve structured salary data for Bundesliga teams, including team names, weekly wages, annual wages, and individual player salaries. You can query specific teams, apply filters, and access rankings based on salary figures.
The "Bundesliga teams" endpoint returns a list of all Bundesliga teams. The "acquire wages expenditure by team" endpoint provides wage expenditure details for a specific team, including weekly and annual wages. The "get player wages by team" endpoint returns individual player salaries, including their weekly and annual wages.
Key fields include "squad" (team name), "weekly_wages" (weekly salary), "annual_wages" (annual salary), and "players" (list of player details) in the respective responses. Each player's data includes "name," "weekly_wages," and "annual_wages."
The response data is structured in JSON format. For team data, it returns an array of team names. For wage expenditure, it provides a single object with wage details. Player data is returned as an array of objects, each containing player-specific salary information.
The "acquire wages expenditure by team" and "get player wages by team" endpoints require a "team" parameter, which must match one of the teams listed in the "Bundesliga teams" endpoint. This allows users to customize their requests for specific teams.
The "Bundesliga teams" endpoint provides team names. The "acquire wages expenditure by team" endpoint offers total wage expenditure data for a team, while the "get player wages by team" endpoint details individual player salaries, allowing for in-depth financial analysis.
Users can analyze team spending by comparing weekly and annual wages across teams. The player salary data can be used for performance analysis and financial assessments, helping to identify high-earning players and their impact on team budgets.
Typical use cases include financial analysis of team budgets, performance evaluation of players based on salary, and comparisons of wage expenditures among teams. This data is valuable for sports analysts, journalists, and fans interested in team finances.
The Bundesliga Salaries API sources its data from reliable salary reports, ensuring high accuracy. Regular updates and quality checks are implemented to maintain the integrity of the data, providing users with trustworthy salary information.
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