Ufc Stats Scraper
Pricing
from $10.50 / 1,000 results
Get official UFC fighter records, event cards and full round by round fight breakdowns, strikes, takedowns and control time included. No login. Built for bettors backtesting models, fantasy MMA players, analysts and content creators who need accurate fight stats fast.
You can access the Ufc 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, youโll 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": "fights",10 "fighterNames": [11 "Jon Jones",12 "Islam Makhachev",13 "Alex Pereira",14 "Ilia Topuria",15 "Khabib Nurmagomedov",16 "Israel Adesanya",17 "Conor McGregor",18 "Amanda Nunes",19 "Alexander Volkanovski",20 "Sean O'Malley",21 ],22 "fighterUrls": [],23 "letters": [],24 "stance": "",25 "eventStatus": "completed",26 "maxItems": 10,27 "maxFightsPerFighter": 1,28 "includeFightHistory": True,29 "flattenHistory": False,30 "includeRoundByRound": True,31}32
33# Run the Actor and wait for it to finish34run = client.actor("normdata/ufc-stats-scraper").call(run_input=run_input)35
36# Fetch and print Actor results from the run's dataset (if there are any)37print(f"๐พ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")38for item in client.dataset(run.default_dataset_id).iterate_items():39 print(item)40
41# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Ufc Stats Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: