Скачать или смотреть Web Scraping & Keyword Extraction with Python | BeautifulSoup & NLP (HRANK Project - Part 3)

🚀 Welcome to Part 3 of the HRANK Project Series! In this tutorial, we will dive deep into web scraping using Python and BeautifulSoup to extract data from any webpage efficiently.

If you are new to web scraping, this video will guide you step by step on how to scrape a webpage, extract useful information, and avoid common pitfalls.

🔍 What You’ll Learn in This Video:
✅ What is Web Scraping? Introduction to the concept and use cases 📌
✅ How to Fetch a Webpage using Python’s requests & urllib 🌍
✅ Parsing HTML Content with BeautifulSoup 🥣
✅ Extracting Data from the Webpage (Text, Titles, Links, Tables) 🏗️
✅ Filtering Useful Information (Removing unnecessary tags) 🎯
✅ Avoiding Common Errors & Bypassing Restrictions 🚀

By the end of this tutorial, you’ll have a working web scraper ready for real-world applications!

📌 Prerequisites:
✅ Basic Python knowledge (If not, check out Python fundamentals videos!)
✅ Install BeautifulSoup4, requests, and lxml (pip install beautifulsoup4 requests lxml)
✅ A website URL to scrape (We will use an example website)

📂 Resources & Code:
🔗 Source Code: [GitHub Link - Add Your Repo Here]
📌 HRANK Project Series Playlist:
📜 BeautifulSoup Documentation: [https://www.crummy.com/software/Beaut...]

🎥 Previous Videos in HRANK Series:
1️⃣ Part 1: [Introduction & Setup]
2️⃣ Part 2: [Setting Up Virtual Environment & Jupyter Lab]
3️⃣ This Video: Scraping a Webpage Using Python

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💡 What would you like to scrape? Comment below! 👇
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See you in the next part of the HRANK Project! 🚀🔥

🛠️ Need Help? Drop Your Questions Below! 👇
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