WTA Tennis Rankings Scraper
Pricing
$4.00 / 1,000 ranked player returneds
WTA Tennis Rankings Scraper reads the WTA's own published ranking tables and returns one row per player: rank, week-on-week movement, points, country, age and tournaments played. Singles, doubles and both Race tables. onlyChangedSinceLastRun defaults ON, so a daily run bills only movers.
You can access the WTA Tennis Rankings 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 "rankingTypes": [10 "singles",11 "doubles",12 ],13 "maxPlayersPerTable": 50,14 "onlyChangedSinceLastRun": True,15 "maxRank": 50,16 "countryCodes": [],17}18
19# Run the Actor and wait for it to finish20run = client.actor("praise-most-high/wta-tennis-rankings-scraper").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")24for item in client.dataset(run.default_dataset_id).iterate_items():25 print(item)26
27# 📚 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 WTA Tennis Rankings Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: