Guides for building with the Orbistats sports data API
29 practical, step-by-step walkthroughs — from your first authenticated request to production-ready live scoreboards, normalized odds boards and multi-season backtesting pipelines. Every guide ships with real, runnable code.
Your first API key, request and response
Everything you need before you write a single line of production code.
Getting Started with the Sports Data API
Make your first authenticated request in minutes.
Authentication & API Keys
Generate, rotate and scope your API keys correctly.
Understanding Rate Limits
Read response headers and handle 429s gracefully.
Pagination & Large Responses
Page through fixtures, teams and historical archives.
Real-time scores, events and scoreboards
Pick the right delivery method and ship a live scoreboard that never lags behind the match.
Building a Live Scoreboard Widget
Embed a live-updating scoreboard on any page.
Polling vs. Webhooks vs. WebSocket
Choose the right delivery method for live scores.
Streaming Live Scores with the WebSocket API
Open a persistent connection for sub-second updates.
Receiving Push Updates with Webhooks
Stop polling — get match events pushed to your endpoint.
Normalized odds, formats and line movement
Build pricing boards and movement alerts on top of a single, normalized odds feed.
Normalizing Odds Across Sportsbooks
Compare odds from multiple books in one format.
Converting Between Odds Formats
Decimal, fractional and American — convert and display correctly.
Building a Live Odds Board
Real-time pre-match and in-play pricing in your app.
Detecting Line Movement
Track odds drift and flag steam moves programmatically.
Multi-season archives for modeling
Pull structured history into your models and validate pricing before it ever touches production.
Quickstarts in your language of choice
Every endpoint is plain REST over HTTPS — these quickstarts get you running fastest.
Sports API in Python
Official SDK, requests examples and pandas-ready responses.
Sports API in JavaScript & Node.js
Fetch live scores from the browser or a Node backend.
Sports API in PHP
Composer package and framework-friendly examples.
Sports API in Java
Maven/Gradle setup with typed response models.
Sports API in C# / .NET
HttpClient examples for .NET 6+ and ASP.NET apps.
Sports API in Go
Lightweight client for high-throughput services.
Built for how each sport's data actually works
Field positions, scorecards, sets and innings all shape the data model differently — these guides go deep per sport.
Building a Football Live Score App
Fixtures, lineups, events and standings in one build.
Building a Basketball Stats Dashboard
Box scores, quarter-by-quarter data and player stat lines.
Working with Cricket Scorecards
Overs, innings and ball-by-ball data explained.
Tennis Match & Tournament Data
Sets, games and points across tour-level events.
Historical Baseball Play-by-Play
Inning-level archives for modeling and research.
Ship it, then keep it running
The details that separate a demo from something you can trust on match day.
Getting Started with the Sports Data API
The fastest path from signup to your first live score in production — five steps, real code, no filler.
Create a free account and get an API key
Sign up with just an email address — no credit card required. Every new account gets a live API key on the free plan instantly, so you can start making requests right away and upgrade later if you need higher limits.
Make your first authenticated request
Every request is authenticated with a bearer token in the Authorization header. Here's a live football scores request from the command line:
-H "Authorization: Bearer YOUR_API_KEY"
Prefer JavaScript or Python? Both work the same way — just set the header and call .json() or .json on the response:
headers: { Authorization: "Bearer YOUR_API_KEY" }
});
const data = await res.json();
Parse the response
Responses are consistent JSON across every sport — a top-level data array plus meta for pagination and freshness. Every fixture includes stable IDs so you can safely cache and reference it later.
"data": [
{ "fixture_id": "f_48213", "home": "Arsenal", "away": "Chelsea", "score": "2-1", "minute": 67 }
],
"meta": { "updated_at": "2026-08-28T14:22:03Z" }
}
Handle rate limits and errors
Every response includes X-RateLimit-Remaining so you can back off before you hit a 429. Wrap requests in a retry with exponential backoff, and treat 5xx responses as transient — see the error handling guide for a production-ready pattern.
Go live
Swap polling for the Webhooks or WebSocket API once you need sub-second updates, add caching per the caching guide, then run through the launch checklist before match day.
Common questions about these guides
Still stuck? Reach the team at sales@orbistats.com.
Do I need a credit card to start following these guides?
No. Every guide on this page works with the free API key you get by signing up with just an email address. You can upgrade to a paid plan later if you need higher rate limits or additional sports.
Which sports do these guides cover?
The core guides apply to every sport on Orbistats. We also publish sport-specific walkthroughs for football, basketball, cricket, tennis and baseball, with more sports added regularly.
What's the difference between the Sports Data API and the Live Scores API?
The Sports Data API is the core feed covering fixtures, teams, players and results. The Live Scores API focuses specifically on real-time score and event updates during a match. Most apps use both together.
Can I follow these guides in any programming language?
Yes. Every endpoint is plain REST over HTTPS, so any language that can make an HTTP request will work. We also publish quickstarts with ready-to-run code for Python, JavaScript, PHP, Java, C# and Go.
How current is "live" data, and what's the latency?
Live scores and events are typically delivered within seconds of happening on the pitch, court or field. For the lowest latency, use the WebSocket API or webhooks instead of polling the REST endpoints.
Should I read the guides or the API reference first?
Start with a guide if you're building something specific, like a live scoreboard or an odds comparison table — it walks you through the whole flow. Use the API reference once you know which endpoints you need and want full parameter and response details.
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