OpenLigaDB

📸 Real response, captured by us

Not a mockup — this is what OpenLigaDB actually returned when we verified it on 23 Oct 2026 (in 889 ms).

[
  {
    "teamInfoId": 40,
    "teamName": "FC Bayern München",
    "shortName": "Bayern",
    "teamIconUrl": "https://upload.wikimedia.org/wikipedia/commons/1/1f/Logo_FC_Bayern_M%C3%BCnchen_%282002%E2%80%932017%29.svg",
    "points": 82,
    "opponentGoals": 32,
    "goals": 99,
    "matches": 34,
    "won": 25,
    "lost": 2,
    "draw": 7,
    "goalDiff": 67
  },
  {
    "teamInfoId": 6,
    "teamName": "Bayer 04 Leverkusen",
    "shortName": "Leverkusen",
    "teamIconUrl": "https://upload.wikimedia.org/wikipedia/de/f/f7/Bayer_Leverkusen_Logo.svg",
    "points": 69,
    "opponentGoals": 43,
    "goals": 72,
    "matches": 34,
    "won": 19,
    "lost": 3,
    "draw": 12,
    "goalDiff":

💻 Copy-paste code

Three ways to call OpenLigaDB — pick your weapon.

// OpenLigaDB — no build step, no library. Just fetch.
const res = await fetch("https://api.openligadb.de/getbltable/bl1/2024");
const data = await res.json();
console.log(data);

# OpenLigaDB with Python requests
import requests

r = requests.get("https://api.openligadb.de/getbltable/bl1/2024")
print(r.status_code)
print(r.json())

# OpenLigaDB from your terminal
curl "https://api.openligadb.de/getbltable/bl1/2024"

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