ScrapeBadger Free Trial (1000 credits): https://scrapebadger.com/twitter-scraper
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Learn how to track Twitter (X) activity in real time using a streaming API.
In this tutorial, I use ScrapeBadger Twitter Streams to continuously collect tweets as they are published. Unlike traditional scraping, streams provide a live feed of data, making them perfect for real-time monitoring, analytics, and automation.
You’ll learn how to create a stream, monitor specific accounts, and receive tweets instantly as they are posted.
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🚀 What you’ll learn
• How to create a ScrapeBadger account
• How to generate an API key
• How to create a Twitter stream
• How to monitor accounts in real time
• How webhook integration works
• How to filter tweets and apply rules
• How to use streams in your applications
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💡 Why use Twitter streams?
• Monitor brand mentions in real time
• Track trends as they happen
• Build live dashboards
• Trigger alerts and automation
• Collect real-time datasets for AI
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🔗 Resources
ScrapeBadger docs: https://docs.scrapebadger.com
SDKs: https://scrapebadger.com/sdks
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00:00 Intro
00:23 ScrapeBadger free trial
00:54 API key
01:11 Create monitor
02:47 Filter rules