ESPN Scraper - Scores, Odds, Standings & Tennis
Pricing
from $1.50 / 1,000 sports data rows
ESPN live scores, schedules, betting odds, standings, team lists, news, injuries and rankings for NFL, NBA, MLB, NHL, college, soccer, F1, golf, UFC - plus ATP/WTA tennis matches with set scores. Only-changed mode for live polling. No API key.
You can access the ESPN Scraper - Scores, Odds, Standings & Tennis 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 "mode": "scoreboard",10 "leagues": [11 "nba",12 "atp",13 ],14 "dates": "20250115",15 "maxItems": 20,16 "proxyConfiguration": { "useApifyProxy": False },17}18
19# Run the Actor and wait for it to finish20run = client.actor("rjmacarthy/espn-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 ESPN Scraper - Scores, Odds, Standings & Tennis API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: