Automate Web Scraping with Make.com, Google Sheets & OpenAI
Learn how to build a fully automated web scraping system using Make.com, Google Sheets, and OpenAI to extract valuable data efficiently.
Course Timeline
๐ Introduction & Community Invitation
Video introduction, welcome to new subscribers, and an invitation to join the community for extra resources and templates.
๐ Setting up Your Google Sheet
Creating a Google Sheet to store URLs and desired data points, organizing columns for efficient data collection.
โ๏ธ Building the Make.com Workflow: Google Sheets & HTTP
Adding the Google Sheets module to search rows, using the HTTP module to make requests and retrieve data from URLs, checking status codes.
๐งน Data Cleaning with Text Parser
Utilizing the text parser module to clean HTML data, preparing it for OpenAI processing.
๐ง Extracting Insights with OpenAI
Integrating OpenAI to extract specific information from the cleaned text using well-defined prompts, leveraging JSON format for organization.
๐ Updating Google Sheet with Scraped Data
Using a second Google Sheets module to update the initial sheet with the extracted data, ensuring all information is neatly organized.
โ Final Checks & Automation
Reviewing the final Google Sheet for accuracy, setting up the workflow to run automatically on a schedule.
๐ช Make.com & OpenAI Advantages
Discussing the advantages of using Make.com and OpenAI for cost-effectiveness, time-saving, and access to fresh, relevant data.
๐ค Challenges & Considerations
Addressing potential challenges, including initial setup time, learning curve, and API limits, providing solutions to mitigate these issues.
๐ Pro Tips & Advanced Techniques
Advanced techniques to enhance the automation, including scheduling, specific prompts, automated alerts, data cleaning, and bulk scraping.
๐ฐ Monetization & Expansion
Exploring monetization options by offering the automated web scraping service, combining it with other APIs for expanded functionality.
๐ Conclusion & Call to Action
Summary of the process, encouraging viewers to build their own automated workflow, and promoting the community for additional resources.