Tennis Scraper - Live Scores, Results, Stats & Rankings

What is Tennis Scraper?

Tennis Scraper is a tool that lets you scrape tennis matches, results, live scores, match statistics, player profiles and rankings for every tour: ATP, WTA, ATP Challenger, WTA 125, ITF Men and Women, UTR Pro Tennis Tour, Davis Cup, Billie Jean King Cup, United Cup and exhibitions. Get set-by-set scores, tiebreaks, retirements and walkovers, aces, double faults, first serve %, break points, winners and unforced errors, head-to-head records, and ATP, WTA and UTR rankings. Pick a date, a tournament or a player, click Start, and download the data as Excel, CSV or JSON.

• ⚡ Fast: a full week of matches on every tour (over 3,000 matches) in about a minute; 900 matches with full statistics in about a minute (our tests)
• 🎾 Every tour: from Grand Slams to ITF and UTR events, singles and doubles
• 📊 Deep match statistics: serve, return, break point and tiebreak numbers for the whole match and for each set
• 🔓 No login, no API key: public scores and statistics only
• 💸 Free to try: the $5 of free usage every Apify account gets each month covers about 5,000 matches

What can Tennis Scraper do?

• Scrape tennis results by date or for a date range of up to a year, on every tour at once or only the tours you choose
• Get live tennis scores with the current set and game score
• Scrape every match of a tournament: Wimbledon, Roland Garros, US Open, Australian Open, Masters 1000, ATP 250/500, WTA 1000, Challengers and ITF events, including qualifying, for this year or earlier editions (Grand Slams back to 2009)
• Get a tennis player's match history and upcoming fixtures, for example the last 100 matches of Jannik Sinner
• Get the tennis head-to-head of two players: every match Sinner and Alcaraz have played against each other
• Scrape tennis match statistics: aces, double faults, first and second serve %, points won on serve and return, break points saved and converted, service games, tiebreaks, winners and unforced errors where tracked
• Scrape tennis player profiles: age, country, height, playing hand, turned pro, ranking, prize money, this season's record and titles, statistics per surface
• Download ATP and WTA rankings, live rankings and UTR ratings (top 500 each)
• Export to Excel, CSV, JSON, HTML or XML, or send the data to Google Sheets, Make, Zapier and more

What tennis data can you extract?

🏆 Tournament, round, surface, level	🎾 Players, countries, seeds, ranks	📅 Start time (UTC)
🔢 Set-by-set score and tiebreaks	✅ Winner, retirements, walkovers	🔴 Live set and game score
🚀 Aces and double faults	🎯 First and second serve %	💪 Points won on serve and return
🛡️ Break points saved and converted	⏱️ Match duration and court	🤝 Head-to-head record
🧑 Age, height, playing hand, turned pro	📈 ATP/WTA rank, points, best rank	💰 Prize money, season and career
🏅 Titles and record per season	🌍 Statistics per surface	📋 ATP, WTA, live and UTR rankings

How to scrape tennis data

1. Create a free Apify account.
2. Open Tennis Scraper.
3. Choose what to scrape: Matches and results, Player profiles or Rankings.
4. For matches, pick dates, or add tournaments, players or head-to-heads, and turn on Include match statistics if you need serve and return numbers.
5. Click Start, then download the data as Excel, CSV, JSON or HTML.

How much does it cost to scrape tennis data?

You pay only for the rows you get: per match, per match with statistics (turn on Include match statistics), per player profile and per ranking row.

Apify plan	Matches per 1,000	Matches with statistics per 1,000	Player profiles per 1,000	Ranking rows per 1,000
Free	$1.00	$2.50	$2.00	$0.50
Starter (Bronze)	$0.90	$2.25	$1.80	$0.45
Scale (Silver)	$0.80	$2.00	$1.60	$0.40
Business (Gold) and higher	$0.70	$1.75	$1.40	$0.35

Each run also has a start fee of $0.005 per run at the default settings. Platform usage is included in these prices, so there is nothing else to pay. For example, 1,000 matches cost $1.00 on the Free plan and $0.70 on Business, and the ATP and WTA top 500 (1,000 ranking rows) cost $0.50 on the Free plan.

Every Apify account gets $5 of free usage each month, so you can try it at no cost. Max results caps the rows (and the cost) of a run, and you can also set a maximum cost per run. See the Pricing tab for details.

⬇️ Input

Setting	What it does
What to scrape	Matches and results, Player profiles, or Rankings: one kind of data per run
From date and To date	The days to get every match of (UTC). Leave both empty for today
Live matches	The matches being played right now
Tournaments	Tournament names or IDs, such as Wimbledon, Wimbledon Women, US Open Men Doubles, Beijing
Season (year)	The tournament edition to get; empty for the latest
Players	Player names or IDs, such as Jannik Sinner or Swiatek: their matches, or their profiles
Head-to-head	Two players per line: Sinner vs Alcaraz
Match IDs	Matches to get again, for example once they have finished
Include match statistics	Adds serve, return, break point and tiebreak statistics for both players, per match and per set, with duration, court and head-to-head record
Tours, Singles or doubles, Match status	Keep only some tours, only singles or doubles, only results, live matches or fixtures
Rankings	The ranking lists to get, or whose top players' profiles to get
Max results	The most rows to save in the run, across all inputs

Connection settings: the default works for most runs.

Today's results on the ATP and WTA tours, with statistics:

{
  "dataType": "matches",
  "tours": ["atp", "wta"],
  "status": "finished",
  "includeStatistics": true
}

Every match of the 2026 US Open, men and women:

{
  "dataType": "matches",
  "tournaments": ["US Open Men", "US Open Women"],
  "season": 2026
}

A player's matches in a date range, and a head-to-head:

{
  "dataType": "matches",
  "players": ["Jannik Sinner"],
  "headToHead": ["Sinner vs Alcaraz"],
  "dateFrom": "2026-01-01",
  "dateTo": "2026-09-30"
}

Profiles of the top 100 ATP and WTA players, and the rankings:

{ "dataType": "players", "rankings": ["atp", "wta"], "maxResults": 200 }

{ "dataType": "rankings", "rankings": ["atp", "wta", "atp-live", "utr-men"] }

⬆️ Output

A finished match with statistics (shortened):

{
  "type": "match",
  "id": 17206248,
  "name": "Alexander Bublik vs Jakub Menšik",
  "tour": "ATP",
  "date": "2026-10-01T12:30:00Z",
  "summary": "Jakub Menšik won 6-4 7-6(5) (Beijing, Round of 32)",
  "status": "finished",
  "statusDetail": "Ended",
  "resultType": "completed",
  "tournament": "Beijing",
  "season": 2026,
  "surface": "Hardcourt outdoor",
  "tournamentPoints": 500,
  "round": "Round of 32",
  "matchType": "singles",
  "player1": "Alexander Bublik",
  "player1Country": "Kazakhstan",
  "player1Rank": 21,
  "player2": "Jakub Menšik",
  "player2Country": "Czechia",
  "player2Seed": "8",
  "winner": "Jakub Menšik",
  "player1Sets": 0,
  "player2Sets": 2,
  "score": "4-6 6-7(5)",
  "sets": [
    {"set": 1, "player1Games": 4, "player2Games": 6, "player1Tiebreak": null, "player2Tiebreak": null},
    {"set": 2, "player1Games": 6, "player2Games": 7, "player1Tiebreak": 5, "player2Tiebreak": 7}
  ],
  "durationMinutes": 97,
  "court": "Diamond Court",
  "headToHead": {"player1Wins": 1, "player2Wins": 3},
  "player1Stats": {
    "aces": 7, "doubleFaults": 1,
    "firstServesIn": 56, "firstServesTotal": 82, "firstServePct": 68.3,
    "firstServePointsWon": 40, "firstServePointsPlayed": 56, "firstServePointsWonPct": 71.4,
    "secondServePointsWon": 11, "secondServePointsPlayed": 26, "secondServePointsWonPct": 42.3,
    "breakPointsSaved": 5, "breakPointsFaced": 7, "breakPointsSavedPct": 71.4,
    "breakPointsConverted": 1, "breakPointChances": 3, "breakPointsConvertedPct": 33.3,
    "totalPointsWon": 69, "servicePointsWon": 51, "returnPointsWon": 18,
    "serviceGamesPlayed": 11, "tiebreaksWon": 0, "winners": null, "unforcedErrors": null
  },
  "player2Stats": {"aces": 10, "doubleFaults": 2, "firstServePct": 73.5, "...": "..."},
  "statsBySet": [{"set": 1, "player1": {"aces": 4, "...": "..."}, "player2": {"aces": 4, "...": "..."}}],
  "input": "2026-10-01",
  "scrapedAt": "2026-10-02T11:03:38Z"
}

A player profile has name, country, birthDate, age, birthplace, heightCm, weightKg, plays, turnedPro, rank, rankingPoints, bestRank, liveRank, utrRating, prizeMoneySeason, prizeMoneyCareer, seasonStats (matches, wins, titles, aces, serve and return percentages, break points, tiebreaks, winners and unforced errors), seasonStatsBySurface and titlesBySeason. A ranking row has rankingName, rank, previousRank, rankChange, points, bestRank, tournamentsPlayed, name and country.

The Overview tab shows every row with its name, tour, date and a one-line summary. The Matches, Match statistics, Players and Rankings tabs show each kind as its own table. The run report lists any player, tournament or match that does not exist.

Which statistics come with which tour?

Statistics	Grand Slams	ATP, WTA, Challenger, WTA 125	ITF
Aces, double faults, break points converted, points won, return points	✅	✅	✅ (most matches)
First serve %, second serve %, break points saved, service games	✅	✅	points on serve only
Statistics per set, match duration	✅	✅	some matches
Winners and unforced errors	main draw

Statistics are published once a match starts. Upcoming matches, walkovers and many UTR and exhibition matches have none: those rows come without them.

How can I use tennis data?

• Tennis analytics and models: build datasets of results and serve and return statistics for every tour and surface
• Live score apps and widgets: live set and game scores for every match being played
• Fantasy tennis and media: player form, head-to-head records and rankings for previews and articles
• Player scouting: follow young players on the ITF, Challenger and UTR tours, with their records and ranking moves
• Ranking tracking: save the ATP, WTA and UTR rankings every week and compare
• Research: years of tournament results for academic and sports science projects

How many matches can I get?

A single day has 200 to 800 matches across all tours, and a run can cover up to a year of days. Tournaments are read to the last match of the draw, qualifying included. A player's history goes back as far as their matches are recorded, often several hundred matches. A match that two inputs list (a player's match in a tournament you also asked for) is saved once.

Scrape more sports data

Actor	What it gets
Google News Scraper API - Full Text, Monitoring & RSS	Tennis news by player or tournament name, with full article text
X (Twitter) Scraper - Profile Tweets & Posts	Tweets from players, tours and tournaments with views, likes and media
Reddit Scraper - Posts, Comments, Users, Subreddits & Search	Posts and comments from r/tennis and other sports subreddits
YouTube Search Scraper - Videos, Channels & Playlists	Match highlight videos by keyword, with views and upload dates

❓FAQ

How much does it cost to scrape tennis data?

$1.00 per 1,000 matches, $2.50 per 1,000 matches with statistics, $2.00 per 1,000 player profiles and $0.50 per 1,000 ranking rows on the Free plan, less on higher plans. See "How much does it cost to scrape tennis data?" above for every plan.

Does it include betting odds?

No. It collects public scores, results, statistics, player profiles and rankings only.

How far back can I go, and how much can one run get?

Up to 366 days of matches per run, any earlier tournament edition with Season (year) (Grand Slams back to 2009), and the top 500 of each ranking list. A player's history goes back as far as their matches are recorded.

What time zone are the dates in?

All times are UTC (ISO 8601 with a Z). A date range covers the matches that start on those days in UTC.

How do retirements and walkovers show?

status is finished and resultType says retired, walkover or defaulted. A retirement keeps the score at the moment the match stopped; a walkover has no score.

Can I get live scores continuously?

Yes. Schedule the actor every few minutes with Live matches on, or call its real-time API at /matches?live=true. Each call returns the current score of every live match.

Can I get results in real time?

Yes. Besides normal runs, the actor has a real-time API that answers with the rows directly, without starting a run:

GET https://<your-actor-standby-url>/matches?date=2026-10-01&tour=atp,wta
GET https://<your-actor-standby-url>/players?name=Jannik%20Sinner
GET https://<your-actor-standby-url>/rankings?ranking=atp
Authorization: Bearer <YOUR_API_TOKEN>

Can I connect Tennis Scraper to other tools or AI agents?

Yes. Start runs and download results with the Apify API or the Python and JavaScript clients, send results to Make, Zapier, n8n, Google Sheets or Slack with Apify integrations and webhooks, or let AI assistants and agents run it through the Apify MCP server at mcp.apify.com.

Do I need an account or an API key?

No. You only need a free Apify account. The actor reads the same public scores and statistics anyone can see without signing in.

Is it legal to scrape tennis data?

This actor only collects public tennis results, statistics, rankings and player profiles that anyone can see. It does not collect private data such as email addresses or phone numbers. Player profiles still contain personal data such as names, birth dates and birthplaces, which may be protected by laws such as GDPR, so only scrape it for a legitimate reason and ask a lawyer if you are unsure. You can read more in Is web scraping legal?

Tennis Scraper is an independent tool. It is not affiliated with, endorsed by or sponsored by the ATP, the WTA, the ITF, UTR or any tournament.

Something isn't working, or I need another field?

Open the Issues tab with your input and what you expected. We read every one and usually reply within a day.

⭐ Your feedback

Have an idea or found a problem? Tell us on the Issues tab. If Tennis Scraper saved you time, a short review on the Reviews tab helps other tennis fans find it and tells us what to improve.