Tennis Abstract Scraper

Scrape ATP match results from Tennis Abstract by player. One result per match: date, tournament, surface, level, round, score, both players' ranks and full serve statistics for the player and the opponent. A whole career in one request per player. $3 per 1,000 matches on the Free plan, less on paid plans. No browser.

What you get

Field	Type	Description
player_name	string	Player name
date	string	Start date of the tournament, YYYY-MM-DD
tournament	string	Tournament name
surface	string or null	Hard, Clay, Grass or Carpet
level	string or null	Grand Slam, Masters 1000, ATP Tour, Tour Finals, Davis Cup, Challenger or ITF
round	string or null	Round, for example F, SF, QF, R16
result	string	won or lost, from the player's side
score	string or null	Score from the player's side
best_of	integer or null	Best of 3 or 5 sets
player_rank	integer or null	Player's ranking when the tournament began
player_seed	integer or null	Player's seed
player_entry	string or null	Entry type, for example WC (wild card) or Q (qualifier)
opponent_name	string	Opponent name
opponent_rank	integer or null	Opponent's ranking when the tournament began
opponent_seed	integer or null	Opponent's seed
opponent_entry	string or null	Opponent's entry type
opponent_hand	string or null	Opponent's playing hand: right or left
opponent_country	string or null	Opponent's country code
minutes	integer or null	Match length in minutes
aces	integer or null	Aces by the player
opponent_aces	integer or null	Aces by the opponent
double_faults	integer or null	Double faults by the player
opponent_double_faults	integer or null	Double faults by the opponent
serve_points	integer or null	Serve points played by the player
opponent_serve_points	integer or null	Serve points played by the opponent
first_serves_in	integer or null	First serves in by the player
opponent_first_serves_in	integer or null	First serves in by the opponent
first_serve_points_won	integer or null	First serve points won by the player
opponent_first_serve_points_won	integer or null	First serve points won by the opponent
second_serve_points_won	integer or null	Second serve points won by the player
opponent_second_serve_points_won	integer or null	Second serve points won by the opponent
service_games	integer or null	Service games by the player
opponent_service_games	integer or null	Service games by the opponent
break_points_saved	integer or null	Break points saved by the player
opponent_break_points_saved	integer or null	Break points saved by the opponent
break_points_faced	integer or null	Break points faced by the player
opponent_break_points_faced	integer or null	Break points faced by the opponent
player_url	string	Tennis Abstract page of the player
scraped_at	string	UTC time the match was scraped, ISO 8601

Serve statistics are counts, so you can compute any rate: for example first serve percentage is first_serves_in / serve_points. They are empty for matches where Tennis Abstract has no statistics, mostly lower-level events.

Input

• players: ATP players by name (Jannik Sinner), by Tennis Abstract player code (JannikSinner), or by Tennis Abstract player URL.
• sinceDate: only matches from tournaments that started on or after this date, as YYYY-MM-DD. Empty means the whole career.
• maxItemsPerPlayer: stop a player after this many matches, newest first. Default 1,000.
• maxItems: stop after this many matches in total. Default 1,000.
• proxyConfiguration: fallback proxy, Apify datacenter by default. Each player is fetched directly first.

{
  "players": ["Jannik Sinner", "Carlos Alcaraz"],
  "sinceDate": "2025-01-01"
}

Example output

{
  "player_name": "Jannik Sinner",
  "date": "2026-06-29",
  "tournament": "Wimbledon",
  "surface": "Grass",
  "level": "Grand Slam",
  "round": "F",
  "result": "won",
  "score": "6-7(7) 7-6(2) 6-3 6-4",
  "best_of": 5,
  "player_rank": 1,
  "player_seed": 1,
  "player_entry": null,
  "opponent_name": "Alexander Zverev",
  "opponent_rank": 3,
  "opponent_seed": 2,
  "opponent_entry": null,
  "opponent_hand": "right",
  "opponent_country": "GER",
  "minutes": 226,
  "aces": 15,
  "opponent_aces": 17,
  "double_faults": 2,
  "opponent_double_faults": 2,
  "serve_points": 136,
  "opponent_serve_points": 139,
  "first_serves_in": 87,
  "opponent_first_serves_in": 105,
  "first_serve_points_won": 70,
  "opponent_first_serve_points_won": 76,
  "second_serve_points_won": 32,
  "opponent_second_serve_points_won": 20,
  "service_games": 22,
  "opponent_service_games": 21,
  "break_points_saved": 1,
  "opponent_break_points_saved": 3,
  "break_points_faced": 1,
  "opponent_break_points_faced": 5,
  "player_url": "https://www.tennisabstract.com/cgi-bin/player-classic.cgi?p=JannikSinner",
  "scraped_at": "2026-10-14T07:00:00+00:00"
}

Pricing

Pay per result: one match event per match saved. The run stops cleanly when your maximum charge per run is reached. A full career is several hundred matches, so use sinceDate or maxItemsPerPlayer when you only need recent form.

Limitations

• ATP (men's) players only. Tennis Abstract's WTA match lists are incomplete, so WTA players are not supported yet.
• A player name must match the name Tennis Abstract uses, without accents. If a player is not found, the log says so and nothing is charged.
• Data is as up to date as Tennis Abstract, usually within a day or two of a match.
• No birth dates, heights or other personal details are included, only match results and statistics.

For AI agents

Minimal input:

{ "players": ["Jannik Sinner"], "maxItemsPerPlayer": 20 }

Each dataset item is one match with the fields listed under "What you get", seen from the requested player's side.