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LangChainframework~15 mins

Loading web pages with WebBaseLoader in LangChain - Mini Project: Build & Apply

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Loading web pages with WebBaseLoader
📖 Scenario: You want to collect information from a web page to use in your application. To do this, you will load the web page content using a tool called WebBaseLoader from the LangChain library.
🎯 Goal: Build a simple Python script that loads the content of a specific web page using WebBaseLoader and stores it in a variable.
📋 What You'll Learn
Create a variable called url with the exact web page address.
Create a WebBaseLoader instance using the url variable.
Use the load method of the loader to get the page content.
Store the loaded content in a variable called page_content.
💡 Why This Matters
🌍 Real World
Loading web pages automatically helps gather information for chatbots, data analysis, or content summarization.
💼 Career
Many jobs in AI and data science require fetching and processing web data efficiently using tools like LangChain.
Progress0 / 4 steps
1
Set the web page URL
Create a variable called url and set it to the string 'https://example.com'.
LangChain
Need a hint?

Use a simple assignment to create the url variable with the exact string.

2
Create the WebBaseLoader instance
Import WebBaseLoader from langchain.document_loaders and create a variable called loader by calling WebBaseLoader(url).
LangChain
Need a hint?

Remember to import WebBaseLoader before using it. Then create loader by passing url to it.

3
Load the web page content
Use the load method of loader to get the content and assign it to a variable called page_content.
LangChain
Need a hint?

Call loader.load() and save the result in page_content.

4
Complete the script
Add a comment at the end of the script that says # Web page content loaded successfully to mark completion.
LangChain
Need a hint?

This comment helps anyone reading the code know the loading step is done.