AI Web Scraping: Turn Websites into Datasets

The Web Architecture

• Understanding HTTP/HTTPS Protocols 30min
• Inspecting Network Requests with DevTools 💻 45min
• HTML5 and DOM Tree Structure 💻 40min

Legal and Ethical Scraping

• Robots.txt and Terms of Service Analysis 30min
• Rate Limiting and Polite Crawling 💻 45min

Requests and BeautifulSoup

• Fetching Content with Requests 🔒
• Parsing HTML with BeautifulSoup4 🔒
• Extracting Data with CSS Selectors 🔒

Selenium and Playwright

• Setting up Headless Browsers 🔒
• Handling JavaScript-Rendered Content 🔒
• Managing User Interactions and Clicks 🔒

Bypassing Anti-Scraping Measures

• Rotating Proxies and User-Agents 🔒
• Solving CAPTCHAs with AI APIs 🔒
• Handling Fingerprinting and TLS Jails 🔒

LLMs for Unstructured Data

• Using OpenAI API for Data Cleaning 🔒
• Structuring HTML into JSON with LLMs 🔒
• Semantic Parsing of Web Tables 🔒

Scaling and Storage

• Storing Data in MongoDB and PostgreSQL 🔒
• Building Asynchronous Pipelines with Scrapy 🔒
• Scheduling Scrapers with Airflow 🔒

End-to-End Implementation

• Defining the Data Collection Strategy 🔒
• Developing the Production Scraper 🔒
• AI-Driven Transformation and Analysis 🔒
• Final Presentation and Deployment 🔒