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New ATP and WTA matches today — up to 1,000 rows, max $2.50

Only newly seen ATP/WTA match rows; $0.0025 each. Reuse stateKey after completed runs. No schedule is created.

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Tennis Scraper — Matches, Point-by-Point, Odds, Rankings
Tennis Scraper — Matches, Point-by-Point, Odds, Rankingsarchitekture/tennis-data-scraper
recordType
matchId
tour
tournamentName
+9 fields
Text
Number
Boolean
List
Object

Input

Operation(required):matches
Preview or paid(required):paid
Days relative to UTC today:0
Tour filters:ATP+1
Deliver new IDs only:true
Saved state key:atp-wta-watch
Maximum delivered rows:1000

Output fields

recordType
matchId
tour
tournamentName
status
homePlayer
awayPlayer
score
rank
playerName
points
changeType
scrapedAt

How it works

Sign up on Apify or log in

The Tennis Scraper — Matches, Point-by-Point, Odds, Rankings Actor is ready to run with the inputs already set for "New ATP and WTA matches today — up to 1,000 rows, max $2.50". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "New ATP and WTA matches today — up to 1,000 rows, max $2.50" task

The Tennis Scraper — Matches, Point-by-Point, Odds, Rankings Actor will start running based on the input automatically. You can also change all the input fields, like operation, preview or paid, and more, to match your specific use case.

Receive the "New ATP and WTA matches today — up to 1,000 rows, max $2.50" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as recordtype, matchid, tour, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "New ATP and WTA matches today — up to 1,000 rows, max $2.50" task via API.

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Integrate "New ATP and WTA matches today — up to 1,000 rows, max $2.50" into your workflow

Connect "New ATP and WTA matches today — up to 1,000 rows, max $2.50" with 100+ integrations, or run it via API or MCP.

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