ATP & WTA Match Dataset - Sackmann CSV Format
Pricing
Pay per event
Whole seasons of ATP and WTA singles results in the columns of Jeff Sackmann's tennis_atp / tennis_wta CSV files, from 1990 to this week: winner and loser, rank, seed, entry, hand, height, age, score, round, minutes, serve statistics, plus pre-match Elo. Updated every hour. Export as CSV.
You can access the ATP & WTA Match Dataset - Sackmann CSV Format programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "years": [12 202513 ]14};15
16// Run the Actor and wait for it to finish17const run = await client.actor("crawlplant/tennis-match-dataset").call(input);18
19// Fetch and print Actor results from the run's dataset (if any)20console.log('Results from dataset');21console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);22const { items } = await client.dataset(run.defaultDatasetId).listItems();23items.forEach((item) => {24 console.dir(item);25});26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsThe Apify API client for JavaScript is the official library that allows you to use ATP & WTA Match Dataset - Sackmann CSV Format API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: