Automate Personalized Emails with AI: Web Scraping & LLM
Learn how to scrape websites, analyze data, and generate personalized emails using AI and a no-code workflow.
Course Timeline
🎥 Introduction: Personalized Emails with AI
Overview of automating personalized email creation using web scraping and large language models.
🌐 Web Scraping & Data Extraction
Demonstration of web scraping a LinkedIn profile and extracting relevant data for analysis.
🤔 Lead Enrichment and Personalization
Discussion on lead enrichment and the importance of highly personalized emails for better responses.
🤖 HTTP Node: Fetching Website Data
Setting up an HTTP node to fetch and extract HTML data from a target website.
🧹 Code Node: Cleaning HTML Data
Utilizing a code node to clean the extracted HTML data, removing unnecessary code and leaving only the text.
🧠 LLM Node 1: Analyzing Revenue Generation
Using a large language model (ChatGPT) to analyze the extracted text and summarize the main revenue-generating activities.
✍️ LLM Node 2: Extracting Case Studies & Testimonials
Employing a second LLM node to extract case studies, success stories, or testimonials from the website data.
📧 Crafting Personalized Emails
Leveraging the extracted information to craft highly personalized emails that resonate with potential clients.
Outro: Consultation & Next Steps
Concluding remarks, offering a free consultation for viewers seeking further assistance or guidance.