🏆 Sports Stats Mega Pack Scraper

🚀 Get aggregated public sports statistics in seconds. A clean, structured dataset with 6 fields per record, pulled live from the source.

This Actor pulls aggregated public sports statistics and turns it into a structured dataset ready for analysts, researchers, and downstream pipelines. Every run hits the live source, normalises records into a flat schema, and pushes them straight to your Apify dataset.

Coverage is updated on every run, and the structured rows mean you can plug the dataset straight into BI tools, data warehouses, and automation platforms without writing extra glue code.

🎯 Target Audience	💡 Primary Use Cases
Data analysts, researchers, developers	Market research, dataset enrichment, competitive intelligence, lead generation
BI teams, agencies, indie builders	Dashboards, alerts, pipelines, custom apps

📋 What the Sports Stats Mega Pack Scraper does

• Fetches the public source in real time.
• Normalises every record into a flat schema with 6 fields.
• Pushes rows straight to your Apify dataset.
• Supports keyword filters, pagination, and per-run limits via maxItems.
• Designed for headless, repeatable runs (cron, Make, Zapier, webhooks).

💡 Why it matters the source is public but unstructured. This Actor turns it into queryable rows you can join, filter, and chart instantly.

📊 Data fields

Each record includes: id, results, scrapedAt, source, title, url. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know: stats.nba.com requires residential proxy + real-Chrome TLS — Apify proxy is auto-applied.

🚀 How to use

1. Create a free account w/ $5 credit
2. Open the Actor page on Apify Console.
3. Fill in the input form (or paste an input).
4. Click Start and watch the dataset populate live.
5. Pipe the dataset into your stack via API, integration, or webhook.

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⚠️ Disclaimer independent tool, not affiliated with Sports Stats Mega Pack. Only publicly available data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.