Quickstart
Get started with the AltSportsData API in minutes
Quickstart
Get up and running with AltSportsData in just a few minutes using our official SDKs.
Prerequisites
- An AltSportsData API key (or use demo key:
demo-0001) - Node.js 16+ (for TypeScript/JavaScript) or Python 3.8+
Step 1: Install the SDK
npm install altsportsdata📦 Package: altsportsdata on npm
pip install altsportsdata📦 Package: altsportsdata on PyPI
Step 2: Initialize the Client
import { AltSportsData } from 'altsportsdata';
const client = new AltSportsData({
apiKey: process.env.ALTSPORTSDATA_API_KEY || 'demo-0001'
});from altsportsdata import AltSportsData
import os
client = AltSportsData(
api_key=os.getenv('ALTSPORTSDATA_API_KEY', 'demo-0001')
)Step 3: Fetch Your First Data
Let's fetch a list of elite soccer leagues:
// Fetch elite soccer leagues
const leagues = await client.leagues.list({
sportType: 'Soccer',
tier: 'elite',
limit: 10
});
// Print league names
leagues.data.forEach(league => {
console.log(`${league.name} (${league.country})`);
});# Fetch elite soccer leagues
leagues = client.leagues.list(
sport_type='Soccer',
tier='elite',
limit=10
)
# Print league names
for league in leagues.data:
print(f"{league.name} ({league.country})")Step 4: Get League Details
Retrieve detailed information and readiness scores:
// Get specific league
const league = await client.leagues.get('league_001');
console.log(`League: ${league.data.name}`);
console.log(`Sport: ${league.data.sport}`);
console.log(`Tier: ${league.data.tier}`);
// Check readiness score
const readiness = await client.leagues.readiness('league_001');
console.log(`Readiness: ${readiness.data.overall_score}/1000`);
// View individual dimension scores
readiness.data.dimensions.forEach(dim => {
console.log(` ${dim.name}: ${dim.score}/1000`);
});# Get specific league
league = client.leagues.get('league_001')
print(f"League: {league.data.name}")
print(f"Sport: {league.data.sport}")
print(f"Tier: {league.data.tier}")
# Check readiness score
readiness = client.leagues.readiness('league_001')
print(f"Readiness: {readiness.data.overall_score}/1000")
# View individual dimension scores
for dim in readiness.data.dimensions:
print(f" {dim.name}: {dim.score}/1000")Using Raw HTTP (Optional)
Prefer to use HTTP directly? Here are examples:
curl -X GET "https://api.altsportsdata.com/v1/leagues?sport_type=Soccer&tier=elite&limit=10" \
-H "Authorization: Bearer demo-0001"const url = "https://api.altsportsdata.com/v1/leagues?sport_type=Soccer&tier=elite&limit=10";
const response = await fetch(url, {
headers: { "Authorization": "Bearer demo-0001" }
});
const leagues = await response.json();
console.log(leagues.data);require 'net/http'
require 'json'
uri = URI('https://api.altsportsdata.com/v1/leagues')
uri.query = URI.encode_www_form({ sport_type: 'Soccer', tier: 'elite', limit: 10 })
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true
request = Net::HTTP::Get.new(uri)
request['Authorization'] = 'Bearer demo-0001'
response = http.request(request)
data = JSON.parse(response.body)
puts data<?php
$url = 'https://api.altsportsdata.com/v1/leagues?sport_type=Soccer&tier=elite&limit=10';
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, [
'Authorization: Bearer demo-0001'
]);
$response = curl_exec($ch);
$data = json_decode($response, true);
curl_close($ch);
print_r($data);
?>using System;
using System.Net.Http;
using System.Threading.Tasks;
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer demo-0001");
var url = "https://api.altsportsdata.com/v1/leagues?sport_type=Soccer&tier=elite&limit=10";
var response = await client.GetStringAsync(url);
Console.WriteLine(response);package main
import (
"fmt"
"io"
"net/http"
)
func main() {
client := &http.Client{}
url := "https://api.altsportsdata.com/v1/leagues?sport_type=Soccer&tier=elite&limit=10"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Set("Authorization", "Bearer demo-0001")
resp, _ := client.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}import java.net.HttpURLConnection;
import java.net.URL;
import java.io.BufferedReader;
import java.io.InputStreamReader;
public class QuickStart {
public static void main(String[] args) throws Exception {
String urlString = "https://api.altsportsdata.com/v1/leagues?sport_type=Soccer&tier=elite&limit=10";
URL url = new URL(urlString);
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestMethod("GET");
conn.setRequestProperty("Authorization", "Bearer demo-0001");
BufferedReader in = new BufferedReader(
new InputStreamReader(conn.getInputStream())
);
String line;
StringBuilder response = new StringBuilder();
while ((line = in.readLine()) != null) {
response.append(line);
}
in.close();
System.out.println(response.toString());
}
}Example Response
{
"data": [
{
"id": "league_001",
"name": "Premier League",
"sport": "Soccer",
"country": "GB",
"tier": "elite",
"founded": 1992,
"active": true
}
],
"meta": {
"total": 156,
"limit": 10,
"has_more": true,
"api_version": "v1",
"timestamp": "2026-03-07T00:00:00Z"
}
}Next Steps
- Learn the SDKs: TypeScript | Python
- Explore all endpoints: API Reference
- For sportsbooks: Integration guide
- For leagues: Onboarding process
- Understand tiers: Tier classification