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Web Scraping

Web Scraping: Resilient Data Collection

  • Python
  • Go
  • HTTP/2
  • DOM Parsing
My approach
“Pulling a title from a blog with two lines of BeautifulSoup is not web scraping. True scraping means configuring HTTP/2 framing, spoofing your TLS fingerprint to look exactly like a legitimate Chrome browser, and convincing massive defense systems like Cloudflare or Akamai that you are just a regular user.”

The Challenges of Scraping

  • TLS Fingerprinting

    Servers don't just look at your IP; they analyze the sequence of your encryption packets (JA3) to instantly flag you as a Python bot.

  • Dynamic Pages

    Modern site content doesn't live in HTML; it hides in complex JavaScript bundles. You cannot reach that data without running a headless browser.

  • Speed vs. Stealth

    You want to extract data as fast as possible, but the faster you go, the more your network behavior resembles a bot.

Operational Areas

  1. 01

    Large-Scale Market Research

    Live extraction of pricing, stock, and competitor analysis of thousands of products from e-commerce giants.

  2. 02

    AI Dataset Harvesting

    Mining clean, structured data from the depths of the internet to train machine learning models.

  3. 03

    Real-Time Monitors

    Surveillance networks scanning the web by the second for tickets, appointments, or rapidly changing data.

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