Advanced Web Scraping with LLMs and ScrapeGraphAI

Master the art of intelligent web scraping using Large Language Models (LLMs) and ScrapeGraphAI. Learn to extract structured data from websites using natural language prompts, work with graph-based pipelines, and handle multi-modal content.


Web Scraping using LLMs

Web Scraping using LLMs: The ability to extract structured data from websites by leveraging Large Language Models (LLMs) to interpret and parse HTML content...More


James Anthony Phoenix

Data Engineer | Full Stack Developer
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Free access for email subscribers.
Python experience recommended.
1. Scenario
Today, the team will be exploring ScrapeGraphAI, a powerful Python LLM based web scraping package.
Gustav Gieger
at GoolyBib

I'm not sure if web scraping is really necessary for our business. Can't we just gather data manually?

Also, I've had trouble scraping data from them in the past.

This course is a work of fiction. Unless otherwise indicated, all the names, characters, businesses, data, places, events and incidents in this course are either the product of the author's imagination or used in a fictitious manner. Any resemblance to actual persons, living or dead, or actual events is purely coincidental.

2. Brief

ScrapeGraphAI is an innovative Python library that revolutionizes web scraping by integrating Large Language Models (LLMs) and modular graph-based pipelines. This powerful tool simplifies the extraction of structured data from websites and local documents, allowing users to effortlessly gather information with just a simple prompt. By leveraging the capabilities of LLMs, ScrapeGraphAI can understand complex data structures and extract relevant information without the need for manual parsing or intricate rule-based systems.

The library offers various specialized graph classes, such as SmartScraperGraph for single-page scraping, SearchGraph for multi-page extraction from search results, and ScriptCreatorGraph for generating custom scraping scripts. ScrapeGraphAI supports multiple LLM providers, including OpenAI, Groq, and Azure, as well as local models through Ollama, providing flexibility in choosing the most suitable AI backend for your scraping needs.

3. Tutorial

β€ŠHey, welcome, and in this video we're going to have a look at a Python package called Scrape AI. Scrape AI is a great tool that allows you to automatically extract structured data directly from images, web pages. So the first thing that we're going to do is install a different couple of packages. So Scrape AI, we're also going to look at some lang chain stuff, and then we're going to run nestasyncio because we're currently working in a Jupyter notebook.

4. Exercises
5. Certificate

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