PandaScore
APIComprehensive E-sports Data API for Games & Results
Overview
PandaScore API delivers real-time and historical e-sports data across 30+ games (League of Legends, CS:GO, Dota 2, etc.). Key endpoints include matches (live/upcoming/past), teams, players, tournaments, stats, and results. Responses are in JSON format. Ideal for developers building e-sports stats platforms, live score trackers, fantasy gaming apps, content aggregation sites, or analytical tools. It supports filtering, pagination, and includes detailed metadata like player performance metrics, team rankings, and tournament schedules to power engaging fan experiences.
Example Integration (JavaScript)
fetch('https://developers.pandascore.co/')
.then(res => res.json())
.then(data => console.log(data))
.catch(err => console.error(err)); Key Features
- RESTful API
- JSON Responses
- Real-time Data
- 30+ Supported Games
- Detailed Player/Team Stats
- Tournament & Match Metadata
- Filtering & Pagination
Frequently Asked Questions
? Is PandaScore free to use?
Yes, it offers a free tier with limited requests; paid plans unlock higher usage limits and advanced features like live data webhooks.
? Does it require an API Key?
Yes, you need to sign up for a PandaScore account to generate an API key for authenticating requests.
? What is the response format?
All API responses are in JSON format, which is lightweight and easy to parse for most programming languages.
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Tool Info
Pros
- ⊕ Rich E-sports Dataset
- ⊕ Real-time Updates
- ⊕ Well-Documented Endpoints
- ⊕ Supports Popular Games
- ⊕ Easy Integration
Cons
- ⊖ Rate Limits on Free Tier
- ⊖ Paid Tiers for High Volume
- ⊖ Niche Games May Be Missing