ATP Ranking Scraper
Pricing
$10.00/month + usage
ATP Ranking Scraper
Extract ATP Tennis Rankings data for singles and doubles from the official ATP website. Get up-to-date player rankings, points, changes, and more. Customize the number of players and ranking type, export data (JSON, CSV, HTML), schedule runs, and integrate with other tools for seamless analysis.
0.0 (0)
Pricing
$10.00/month + usage
0
Total users
1
Monthly users
1
Runs succeeded
>99%
Last modified
17 days ago
You can access the ATP Ranking 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 Integrations settings 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
10# Run the Actor and wait for it to finish11run = client.actor("martin0925/scraper-atp-ranking").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startATP Ranking Scraper API in Python
The Apify API client for Python is the official library that allows you to use ATP Ranking Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
