LangChain | Document Loader | WebBaseLoader: Scrape Web Pages for AI | Video #29

In Video #29 of our LangChain Full Course, we explore the WebBaseLoader, the tool that connects your AI to the live web! 🌐

I will show you how to use WebBaseLoader to pull visible text from any URL using the BeautifulSoup library. We will go beyond just loading data—I'll show you a real-world project where we scrape a news article and use a LangChain Chain to automatically generate a concise summary of the page.

✅ In this practical tutorial, we cover:

Installation: Setting up beautifulsoup4 to enable web scraping.

Loading Single & Multiple URLs: How to pass one or many web addresses to the loader.

Visible Text Extraction: How LangChain filters out HTML tags to give you clean text.

The "Summary" Project: * Loading a news URL (e.g., an article about Virat Kohli).

Creating a PromptTemplate for summarization.

Building a Chain using the | (pipe) operator.

Running the chain to get a live summary of the web content.

Limitations: When to use WebBaseLoader vs. tools for JavaScript-heavy sites (like Selenium).

Why this matters: The internet is the world's largest database. Mastering the WebBaseLoader allows your AI applications to stay updated with real-time news, blog posts, and public documentation.

#LangChain #DocumentLoader #WebBaseLoader #WebScraping #RAG #BeautifulSoup #PythonAI #GenerativeAI #OpenAI #LLM #AITutorial #Coding #Summarization #aiengineering

Follow the Full Course Playlist here: https://www.youtube.com/playlist?list=PLjgyOe4yASKiiyHvOd9vo_mjmPBql-xR_

Видео LangChain | Document Loader | WebBaseLoader: Scrape Web Pages for AI | Video #29 канала Vikas Munjal Ellarr