ATP Tour Match Stats Scraper
Pricing
from $15.00 / 1,000 matches
Scrape official ATP Tour player search, match history, and detailed match statistics: aces, break points, serve/return percentages, and set scores. Discover players, build deduplicated match plans, and pull match records at scale.
You can access the ATP Tour Match Stats Scraper 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "operation": "discover-players",10 "search": "Sinner",11 "playerIds": ["S0AG"],12 "matchRequests": [{13 "matchId": "2026#540#MS001",14 "requestedPlayerIds": ["S0AG"],15 }],16 "maxMatchesPerPlayer": 5,17 "maxTotalMatches": 20,18 "matchFormat": "all",19 "includeStats": True,20 "proxy": {21 "useApifyProxy": True,22 "apifyProxyGroups": ["RESIDENTIAL"],23 },24}25
26# Run the Actor and wait for it to finish27run = client.actor("parsebird/atp-match-stats-scraper").call(run_input=run_input)28
29# Fetch and print Actor results from the run's dataset (if there are any)30print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")31for item in client.dataset(run.default_dataset_id).iterate_items():32 print(item)33
34# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use ATP Tour Match Stats Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: