ATP Tour Rankings & Player Profile Scraper
Pricing
Pay per event
Scrape ATP singles and doubles rankings with full player profiles — rank, points, age, country, career titles, and prize money.
You can access the ATP Tour Rankings & Player Profile 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 "sp_intended_usage": "Describe your intended use...",10 "sp_improvement_suggestions": "Share your suggestions here...",11 "sp_contact": "Share your email here...",12 "rankingType": "both",13 "maxItems": 10,14}15
16# Run the Actor and wait for it to finish17run = client.actor("jungle_synthesizer/atp-tour-rankings-player-profile-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")21for item in client.dataset(run.default_dataset_id).iterate_items():22 print(item)23
24# 📚 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 Rankings & Player Profile Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: