Go to example tasks
Tennis Retirement & Walkover Data — Derived Match Status
Tennis matches that did not finish: retirements and walkovers, with a derived status field the source does not provide. 4.6% of matches, measured.
TennisExplorer Scraper — ATP/WTA Results, Rankings, Playersoswaldocarabano/tennisexplorer-scraper
Match id
Date utc
Home name
Away name
+8 fieldsTextNumberBooleanListObject
Input
What to scrape(required):results
From date (UTC):-7d
To date (UTC):yesterday
Tours:atp-single+3
Include betting odds:false
Fetch match detail pages:false
Ranking:atp-men
Ranking type:singles
Player URLs
Years of match history per player:0
Maximum results:3000
Concurrency:8
Proxy configuration
Output fields
Match id
Date utc
Home name
Away name
Winner
Status
Score
Sets
Home sets
Away sets
Is retired
Is walkover
Sign up on Apify01
Create your Apify account to access the TennisExplorer Scraper — ATP/WTA Results, Rankings, Players.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
