Choosing a tennis API in 2026 comes down to what you need: live scores, historical point-by-point tape, player/ranking data, or market prices. This guide compares Live Tennis API with API-Sports, GoalServe, BetsAPI, the RapidAPI marketplace and Tennis Abstract — factually, so you can match a source to your use case.
We only make firm claims about our own product. For the alternatives we describe their general shape at a high level and avoid quoting prices we can't verify, because their plans change. Always confirm a competitor's current terms on their own site before you commit.
What Live Tennis API offers
Live Tennis API covers ATP, WTA, Challenger and ITF (singles and the tours listed — we do not cover table tennis). The design goal is a clean REST surface with a genuinely useful free tier, official SDKs, an OpenAPI spec and an MCP server.
- Base URL:
https://api.livetennisapi.com/api/public/v1 - Auth:
X-API-Key: <key>header on every request - Free key, no card: livetennisapi.com/subscribe/free
- Docs: https://docs.livetennisapi.com · OpenAPI: https://github.com/livetennisapi/openapi
- SDKs:
pip install livetennisapi·npm i livetennisapi - MCP server:
mcp.livetennisapi.com(query the API from LLM tools)
A quick, runnable check with a free key — the current state of play:
curl -s "https://api.livetennisapi.com/api/public/v1/matches?status=live" \
-H "X-API-Key: $LIVE_TENNIS_API_KEY"
import requests
BASE = "https://api.livetennisapi.com/api/public/v1"
headers = {"X-API-Key": "YOUR_KEY"}
# Live matches (free tier)
live = requests.get(f"{BASE}/matches", params={"status": "live"}, headers=headers).json()
# A player's profile, including current ranking and Elo (free tier)
player = requests.get(f"{BASE}/players/12345", headers=headers).json()
print(len(live.get("matches", [])), "live matches")
Tiers at a glance
| Tier | Price | Rate | What it adds |
|---|---|---|---|
| Free | $0 (no card) | 30/min, 100/day | Live matches + scores, fixtures, players (current ranking & Elo) |
| Basic | $9.99/mo | 60/min, 1k/day | Completed-match history + point-by-point tape |
| Pro | $29.99/mo | 300/min, 10k/day | Market prices/events, rank-ordered rankings listing |
| Ultra | $99.99/mo | 600/min, 500k/day | Win-probability/analysis, live per-point events, WebSocket stream |
Deep-dives on each surface: live scores, player stats & rankings, point-by-point data, market prices, and the full developer guide.
The alternatives, described neutrally
API-Sports (api-sports.io / API-Tennis). A multi-sport API provider with a tennis product, distributed both directly and via marketplaces. If you already consume several sports from one vendor, a multi-sport house can simplify billing and auth. Check their current tennis coverage and tour depth against your needs.
GoalServe. A long-standing sports-data feed provider covering many sports, historically offering XML and JSON feeds. It's oriented toward feed-style integrations. Confirm the tennis feed's fields and delivery format on their site.
BetsAPI. A sports-data provider whose catalogue includes tennis with a market-prices/odds focus. If your project centres on market data across many bookmakers, it's worth evaluating. As with any market-data source, verify what's included at each plan level directly.
RapidAPI marketplace. RapidAPI isn't a single API — it's a marketplace that hosts many tennis APIs (including ours) behind a shared key and billing layer. It's convenient for trying several providers with one account, at the cost of an extra hop and marketplace-specific rate limits. If you prefer to talk to the provider directly, most APIs (ours included) are also available first-party.
Tennis Abstract / Jeff Sackmann's datasets. Tennis Abstract publishes excellent open CSV datasets (match results, point-by-point charting via the Match Charting Project) on GitHub — not a live REST API. They're ideal for research and historical modelling where you can download and process files, but they aren't a real-time endpoint you poll during a live match. Many teams pair open historical CSVs with a live API for in-play data.
How to choose
- You need live, in-play data via REST/WebSocket: a hosted live API fits better than static CSV downloads. Live Tennis API's free tier lets you validate live coverage before paying.
- You need deep historical research and can process files: open datasets like Tennis Abstract are hard to beat for depth and price (free), if a batch/offline workflow suits you.
- You want one vendor for many sports: a multi-sport house (e.g. API-Sports, GoalServe) or the RapidAPI marketplace may reduce integration overhead.
- You're focused on market prices: compare the market-data specifics (coverage, update model, fields) of each provider directly. Ours is a Pro-tier data product via
/markets/{id}/prices.
Where Live Tennis API is differentiated
Verifiable strengths of our offering: a no-card free tier for live scores/fixtures/players, official Python & JS SDKs, a published OpenAPI spec, an MCP server for LLM tooling, and an honest tier split (history/tape at Basic, market prices at Pro, per-point live + WebSocket + analysis at Ultra). Try it against your own workload:
# History + point-by-point tape needs Basic; this shows the tier gate honestly.
curl -s "https://api.livetennisapi.com/api/public/v1/matches/98765/points" \
-H "X-API-Key: $LIVE_TENNIS_API_KEY"
The right answer is the one that passes your own test on real fixtures. Grab a free key, run the calls above, and compare the JSON you actually get back against each alternative's free trial.