Tennis Scraper — Live Scores, Point-by-Point, Stats & Odds (Sofascore)

Get structured tennis data from Sofascore: every ATP, WTA, Challenger, ITF and UTR match of a day, live scores, tournament draws, a player's results and upcoming matches. Each match comes with set and tie-break scores, surface, round and both players' ATP/WTA rankings. Add match statistics, point-by-point, bookmaker odds and momentum when you need them. It also exports ATP and WTA rankings and player profiles.

Built for betting and trading models, tipsters, tennis analysts, journalists and dashboard or fantasy apps that need clean, schedulable tennis data without maintaining their own scraper.

What you get

Rankings mode rows:

rankingType, rank, previousRank, bestRank, points, previousPoints, tournamentsPlayed, playerId, name, country, updatedAt, url

name, fullName, country, ranking, tour, birthDate, birthplace, residence, heightM, weightKg, plays, turnedPro, prizeMoneyCurrentYear, prizeMoneyTotal, prizeCurrency, url

Use cases

• Betting and trading models: poll live matches every few minutes and store point-by-point, momentum and odds movement (opening vs current) for in-play models and backtests.
• Pre-match analysis: tomorrow's ATP/WTA fixtures with rankings, surface and odds; a player's recent form from their last results with full serve/return statistics.
• Research and journalism: a whole tournament's results with statistics; weekly ATP/WTA ranking snapshots for movement charts.
• Apps and dashboards: scheduled fixtures and live scores for websites, Discord/Telegram bots and fantasy games.

Input

Example: yesterday's ATP and WTA results with statistics and point-by-point

{
  "dates": ["yesterday"],
  "tours": ["ATP", "WTA"],
  "statuses": ["finished"],
  "matchType": "singles",
  "includeStatistics": true,
  "includePointByPoint": true,
  "includeOdds": true,
  "maxItems": 100
}

Example: live scores every 5 minutes

{ "liveOnly": true, "tours": ["ATP", "WTA", "Challenger"], "includeOdds": true, "maxItems": 100 }

Example output (shortened)

{
  "matchId": 17331293,
  "url": "https://www.sofascore.com/tennis/match/luciano-darderi-james-duckworth/lUpsJlyc#id:17331293",
  "status": "finished",
  "startTime": "2026-10-21T06:30:00Z",
  "tour": "ATP",
  "tournament": "Almaty, Kazakhstan",
  "round": "Round of 16",
  "surface": "Hardcourt indoor",
  "matchType": "singles",
  "player1": {"id": 39711, "name": "James Duckworth", "country": "AU", "ranking": 73, "seed": null},
  "player2": {"id": 308084, "name": "Luciano Darderi", "country": "IT", "ranking": 23, "seed": "2"},
  "winner": "player1",
  "setsWon": [2, 0],
  "sets": [{"set": 1, "p1": 7, "p2": 5}, {"set": 2, "p1": 7, "p2": 6, "tiebreak": [9, 7]}],
  "durationSeconds": 6328,
  "statistics": {"all": {"aces": {"name": "Aces", "p1": 17, "p2": 6},
                         "firstServeAccuracy": {"name": "First serve", "p1": "50/78 (64%)", "p2": "55/79 (70%)",
                                                "p1Value": 50, "p1Total": 78, "p2Value": 55, "p2Total": 79}}},
  "pointByPoint": [{"set": 1, "game": 1, "server": "player1", "winner": "player1", "break": false,
                    "score": [1, 0], "points": ["15-0", "30-0", "30-15", "40-15"]}],
  "odds": [{"market": "Full time", "period": "Match", "choices": [
            {"name": "1", "side": "player1", "decimal": 2.0, "initialDecimal": 2.3, "winning": true},
            {"name": "2", "side": "player2", "decimal": 1.8, "initialDecimal": 1.62, "winning": false}]}],
  "scrapedAt": "2026-10-22T08:00:00Z"
}

Scheduling and integrations

Create a Schedule in Apify Console (for example every 5 minutes with liveOnly, or daily at 06:00 UTC with dates: ["yesterday"]). Read results through the Apify API (/v2/datasets/{id}/items?format=json|csv|xlsx) or send them on with webhooks and integrations (Google Sheets, Slack, Make, Zapier, Airbyte).

Use it from AI assistants

The actor works as a tool in AI agents through the Apify MCP server (https://mcp.apify.com): ask for "yesterday's ATP results with statistics" or "Sinner's last 10 matches" and the agent can run it and read the dataset.

FAQ

Which matches are covered? Everything Sofascore lists for tennis: ATP, WTA, Challenger, ITF, UTR, Davis Cup, Billie Jean King Cup, exhibitions, singles and doubles. A busy day has 500+ matches.

How fresh is the data? Each run reads Sofascore at run time. Live rows show the score at that moment, so schedule the actor for continuous tracking.

Why are statistics or point-by-point empty for some matches? They only exist once a match has started, and Sofascore does not provide them for every lower-tier (ITF/UTR) match. Odds also exist before the start.

Why is a ranking empty? Rankings come from the ATP/WTA top 500 singles lists. Doubles players, UTR/ITF players outside the top 500 and juniors have ranking: null.

Do I need a proxy? No setup needed. The default Apify Proxy setting is enough; the actor switches IPs by itself when one is blocked.

Is this legal? The actor collects publicly visible sports results and statistics. You are responsible for how you use the data and for complying with Sofascore's terms in your jurisdiction.

Something is wrong or missing? Open an issue on the actor page. Issues are read and answered.