ATP Tour Rankings & Player Profile Scraper

Extract ATP singles and doubles world rankings with complete player profile data. Returns rank, ranking points, age, nationality, career titles, career prize money, year-to-date stats, and play hand for every player in the official ATP ranking tables.

What You Get

Each record contains a player's full ATP profile, ready for analysis:

Field	Description
ranking_type	singles or doubles
rank	Current ATP ranking position
rank_move	Weekly rank change (positive = moved up)
player_name	Full name (e.g. Jannik Sinner)
player_id	ATP player ID code
player_url	Link to player profile on atptour.com
player_country	Full nationality (e.g. Italy)
nationality_code	3-letter code (e.g. ITA)
age	Current player age
birth_date	Date of birth (ISO 8601)
points	Current ranking points
highest_rank	Career best ranking
career_titles_singles	Career singles titles
career_titles_doubles	Career doubles titles
career_prize_money_usd	Career prize money in USD
career_prize_money_formatted	Formatted prize money (e.g. $64,837,801)
ytd_wins	Year-to-date wins
ytd_losses	Year-to-date losses
ytd_titles	Year-to-date titles
play_hand	Dominant hand
source	Source ranking page URL

Input Options

Field	Type	Default	Description
rankingType	enum	both	Which ranking to scrape: singles, doubles, or both
maxItems	integer	100	Maximum number of player profiles per ranking type

Usage Examples

Get top-100 singles rankings:

{
  "rankingType": "singles",
  "maxItems": 100
}

Get top-50 of both singles and doubles:

{
  "rankingType": "both",
  "maxItems": 50
}

Coverage

• Singles: Up to top-500 (rank ranges 1-500 in 100-player pages)
• Doubles: Up to top-500 (rank ranges 1-500)
• Rankings updated weekly by the ATP after each tournament
• Data sourced directly from atptour.com official rankings tables

Technical Notes

The scraper clears atptour.com's bot protection automatically, then enriches every ranked player with age, prize money and career stats — considerably more than the rankings table alone carries.

Use Cases

• Fantasy tennis and sports analytics
• Tennis data for AI and ML models
• Player performance tracking and visualization
• Sports journalism and research
• Tournament prediction and betting analysis

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Further reading: Sports Results & Fixtures Data: APIs, Feeds and Bulk Exports