🎾 Tennis Match Stats Scraper: ATP & WTA Results, Point-by-Point & Rankings, PunkRecordsData

🚀 Every ATP/WTA player's matches, full serve/return stats, the actual point-by-point sequence, head-to-head history, betting odds and live ranking, in one run. Real-time tennis intelligence with no login, no API key.

Scrape tennis data straight from Sofascore's own live API: match results with set-by-set scores and tiebreaks, serve/return/points/games statistics, the full point-by-point sequence within every game and set, head-to-head history between two players, bookmaker odds, and each player's current ATP or WTA ranking. Give it a player name and pull their recent and upcoming matches, or feed in match IDs directly.

Built for the Apify platform: schedule a run during a tournament to track a player's matches as they finish, or feed point-by-point data straight into a betting or performance-analysis model.

📋 What the Tennis Match Stats Scraper does

Give it a player name (like "Novak Djokovic") and it returns one row per match: opponent, tournament, round, surface, score by set with tiebreaks, and status. Turn on Match statistics for serve, return, points and games stats (aces, double faults, break points, first-serve percentage and more). Turn on Point-by-point for the actual point sequence inside every game and set. Turn on Head-to-head record for the historical tally between the two players, Betting odds for the match result market, and ATP/WTA ranking for each player's current rank, points and career-best ranking, computed once per player, not once per match.

💡 Why it matters: most tennis scrapers on the market return a flat list of match results and stop there. This one also pulls the actual point-by-point sequence, something only the most expensive actors in this niche offer, alongside live rankings and head-to-head history in the same run.

📊 Output

Real sample fields from a verified run against "Novak Djokovic", one of two record types identified by recordType.

match-record (primary, one row per match):

{
  "player1": "Novak Djokovic",
  "player2": "Alejandro Tabilo",
  "tournament": "Athens, Greece",
  "surface": "Hardcourt indoor",
  "setsWonPlayer1": 2,
  "setsWonPlayer2": 0,
  "scoreBySet": [
    { "set": 1, "player1Games": 7, "player2Games": 6, "tiebreak": { "player1": 7, "player2": 3 } },
    { "set": 2, "player1Games": 6, "player2Games": 1 }
  ],
  "statistics": [{ "group": "Service", "stat": "Aces", "player1": "13", "player2": "4" }],
  "h2hRecord": { "player1Wins": 1, "player2Wins": 2 },
  "odds": [{ "outcome": "1", "odds": "1/5" }]
}

ranking-record (one row per unique player in the run):

{ "playerName": "Novak Djokovic", "tour": "ATP", "ranking": 5, "points": 3770, "bestRanking": 1 }

Every extra you don't enable returns "Not Requested" instead of an empty field, and data a match genuinely doesn't have returns "N/A". You always know why a field is empty, never guess.

✨ Why choose this Actor

• Point-by-point data, not just the final score. The full sequence of points inside every game and set, the single feature the priciest competitors in this niche charge the most for.
• Rankings included, computed fairly. A player's ATP/WTA ranking is checked once per unique player in a run, never re-billed for every match that player appears in.
• Six real data types, one run. Match result, statistics, point-by-point, head-to-head, odds and ranking, no need to run six different scrapers.
• No login, no API key. Nothing to expire or get rate-limited on your account.

📈 How it compares to alternatives

Measured against the closest published tennis actors on the Apify Store, the single largest sports-data niche measured across this catalog:

Actor	Primary price	Billable events
Volume leader (1,083 users/30d)	$8.00 / 1,000	1
Match-history-only actor (723 users/30d)	$21.00 / 1,000	1
Point-by-point specialist	$75.00 / 1,000	3
This Actor	$19.00 / 1,000 (match)	6 (match, statistics, point-by-point, head-to-head, odds, ranking)

🚀 How to use

1. Create a free Apify account. New accounts get $5 in free credit.
2. Open the Tennis Match Stats Scraper and enter a player name (e.g. "Novak Djokovic"), or match IDs directly.
3. Toggle on the extras you need: point-by-point, head-to-head, odds, ranking.
4. Click Start and wait for the run to finish.
5. Download your data as CSV, Excel, JSON or XML, or pull it via the API.

💼 Business use cases

Sports betting & odds analysis Cross-reference bookmaker odds with real serve/return statistics and point-by-point momentum.

Performance analysis & coaching Pull the full point sequence of a match to study break-point patterns and momentum shifts.

Sports media & content Feed live rankings and head-to-head history into match previews without manual lookups.

Fantasy sports & prediction models Train models on real point-by-point sequences instead of just final scores.

🔌 Automating Tennis Match Stats Scraper

Connect this Actor to Make, Zapier, Slack or Airbyte to push new match results into a spreadsheet, database or channel automatically. Schedule a run during a tournament to catch each match's result and stats as it finishes.

🌟 Beyond business use cases

Research: sports-analytics and sports-science research using real match and point-level data. Personal projects: track your favorite player's matches, ranking and head-to-head record. Non-profit: amateur and youth tennis programs studying professional match patterns. Experimentation: test win-probability or momentum models against real point-by-point sequences.

🤖 Ask an AI assistant about this scraper

Paste this Actor's Store page into ChatGPT, Claude or Perplexity and ask: "Does this tennis scraper include the actual point-by-point sequence, or just the final score?" The README and input schema are structured so AI assistants can answer accurately from the page alone.

❓ Frequently Asked Questions

Do I need a login or API key? No. Nothing to register anywhere in this Actor.

Why is ranking billed once per player instead of once per match? Because a player's current ranking is one fact, not something that changes by which match you're looking at. Billing it per match would charge you multiple times for the same real number.

What happens if a player name doesn't match anything? The Actor logs a warning and skips it rather than failing the whole run. Use the player's full name as it appears on Sofascore.

Does point-by-point work for every match? It's available for matches with detailed live coverage. Older or lower-tier matches may return "N/A" if Sofascore never recorded point-level detail for that match.

How fresh is the data? As fresh as Sofascore itself, live matches update in near real time.

🔌 Integrate with any app

Every run's output is available as CSV, Excel, JSON or XML, or through Apify's API and client libraries for Python and JavaScript.

🔗 Recommended Actors

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💡 Pro Tip: browse the complete PunkRecordsData collection.

🆘 Need Help? contact.punkrecordsdata@gmail.com

⚠️ Disclaimer: This is an independent tool, not affiliated with, endorsed by, or sponsored by Sofascore, the ATP, or the WTA. It collects only publicly available match data from Sofascore's own live API.