In this video, I'll be showing you how to build an AI web scraper using Python. The application itself is super cool as it scrapes the site based on the URL you give it, grabs the DOM content, and allows us to then pass a prompt to the AI that will be able to grab information from the website that we want. In addition to this quick demo of how everything works, I will also take a deep dive into how to build the AI web scraper utilizing tools such Selenium, BeatifulSoup, LangChain, & more!

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🎞 Video Resources 🎞
Code In This Video: https://github.com/techwithtim/AI-Web-Scraper
ChromeDriver Download: https://googlechromelabs.github.io/chrome-for-testing/#stable
Selenum Video Tutorial: https://www.youtube.com/watch?v=NB8OceGZGjA
Ollama Download Link: https://ollama.com/
Ollama Github: https://github.com/ollama/ollama

⏳ Timestamps ⏳
00:00 | Overview
00:15 | Install/Setup
04:30 | Starting the Streamlit UI
07:34 | Web Scraping with Selenium
15:59 | Unblocking Websites/Captchas/IP Bans
22:30 | Cleaning DOM Content
31:10 | Parsing Content with Ollama (LLM)
39:45 | Ollama Installation
42:45 | Testing the Scraper

Hashtags
#python #ai #webscraping

TechWithTim, founded by Tim Ruscica, is a popular YouTube channel and blog offering tutorials, guides, and projects on programming, game development, and machine learning. With a friendly and approachable teaching style, Tim covers a wide range of topics, including Python programming, game development with Pygame, and machine learning algorithms with TensorFlow and Keras. Developers of all skill levels can benefit from TechWithTim's engaging content and hands-on coding projects, making it an in resource for learning and honing technical skills.

Tech With Tim

This post guides you on building an AI-powered web scraper using Python. The scraper can extract information from any website by passing a URL and a prompt to the AI. Essential tools include Streamlit for the front end, Selenium for web scraping, and Langchain for integrating with AI models. Detailed steps cover setting up the environment, handling dependencies, and developing the UI and backend functions necessary for scraping and parsing web content. The tuto­r­ial also explores overcoming common challenges like captchas and IP bans using Bright Data's scraping browser.

Python AI Web Scraper Tutorial - Use AI To Scrape ANYTHING

<p>Pretty useful thanks for sharing it with us</p>
