Web Scraping AI AGENT, that absolutely works 😍

---

---

AI Summary

Web Scraping with Large Language Models: A Summary

• Introduction:
  • Tutorial for amateur scrapers to use large language models for web scraping.
  • No OpenAI API key required; can use local machine with OL backend.
  • Demonstrates using the scrapegraph AI Python library.
• Scrapegraph AI Library:
  • Allows users to scrape web data by stating requests in English.
  • Supports scraping from websites, documents, XMLs.
  • Outputs data in JSON format.
• Demonstration:
  • Example shown using Visual Studio Code.
  • Scrapes articles, comments, and scores from Hacker News.
  • Data is displayed using a Pandas DataFrame.
• Usage:
  • Import SmartScraperGraph from scrapegraph AI.
  • Provide either a local HTML file or a URL for scraping.
  • Use a user prompt to specify what data to scrape.
  • The library fetches and processes the data, returning JSON.
• Requirements:
  • scrapegraph AI Python library.
  • playwright for browser automation (similar to Selenium).
  • OL backend with two models: a large language model (mistol) and an embedding model (nomic embed text).
• Installation:
  • Install AMA to manage models.
  • Pull models using AMA.
  • Install scrapegraph AI (use a specific version if necessary).
  • Install playwright which may take time due to its size.
• Configuration:
  • Set up the large language model and embedding model.
  • Configure the SmartScraperGraph with the model endpoint URL.
  • Ensure models are served and accessible.
• Execution:
  • Create a SmartScraperGraph instance with a prompt and source URL.
  • Run the scraper and handle a known bug with an import statement.
  • Print or convert the result to a Pandas DataFrame for easier viewing.
• Example Use Case:
  • Scraping cricket-related articles from a website.
  • Demonstrates the ability to request specific types of articles.
• Conclusion:
  • The system works without OpenAI, using English prompts for scraping.
  • Multiple tests confirm the functionality of scrapegraph AI.
  • Offers to create more tutorials on practical examples with large language models.
• Call to Action:
  • Invites viewers to request more tutorials in the comments section.