NCAA Men's Basketball Stats Scraper - Box Scores & Odds
Pricing
from $2.00 / 1,000 row of data
NCAA Men's Basketball player & team game logs, box scores, closing lines with ATS/O-U results, schedules with odds, play-by-play, standings and rosters. Flat rows for March Madness brackets, KenPom-style models and betting.
You can access the NCAA Men's Basketball Stats Scraper - Box Scores & Odds programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "dataType": "playerGameLogs",12 "maxItems": 20013};14
15// Run the Actor and wait for it to finish16const run = await client.actor("datawright/college-basketball-stats-scraper").call(input);17
18// Fetch and print Actor results from the run's dataset (if any)19console.log('Results from dataset');20console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);21const { items } = await client.dataset(run.defaultDatasetId).listItems();22items.forEach((item) => {23 console.dir(item);24});25
26// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsThe Apify API client for JavaScript is the official library that allows you to use NCAA Men's Basketball Stats Scraper - Box Scores & Odds API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: