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Dive into Beeline Portal Traffic Analysis: Build a Python Script to Extract Data
This blog is intended for educational purposes only and is not meant to teach anyone how to hack or reverse engineer the platform.
We’re jumping straight into analyzing Beeline’s portal traffic — but here’s the twist: we’re not using an API. Yep, I’ll admit it upfront: this isn’t the cleanest approach. If an API were available, we’d breeze through this in minutes. But since that’s not an option (or maybe you’re just curious about the gritty details?), we’re rolling up our sleeves and tackling it the old-fashioned way. Ready to get your hands dirty? Let’s write a Python script to scrape that data — and along the way, we’ll uncover why sometimes the ‘hacky’ path teaches us the most.
To uncover the traffic data, we’ll channel our inner digital detective. Since there’s no API to lean on, we’ll need to intercept the data manually — think of it as peeking under the hood of the Beeline portal. Grab your tools (browser dev tools, proxies, or packet sniffers — your call) and let’s dissect the raw HTTP requests and responses. We’re…
