Using Perplexity AI for article summarization of direct URLs can lead to unreliable results, especially when dealing with non-indexed or non-existent URLs. By implementing a more robust solution using a web scraper and GPT4o, we can create accurate and dependable article summaries.
This alternative approach not only provides more reliable results but also offers greater flexibility in how we process and handle article content through web scraping techniques.
In my recent video, I demonstrate how to create a better article summarization system:
The Problem with Perplexity AI
When testing Perplexity AI with non-existent URLs, I discovered it tends to hallucinate fictitious content rather than returning an error. This can be particularly problematic when dealing with newly published content that hasn’t been indexed by search engines yet, as Perplexity seems to rely on search engine data rather than direct website access.
A Better Solution Using Make.com
Direct Web Scraping
Using Make.com’s HTTP module, we can directly scrape article content from websites. This approach provides several advantages:
- Immediate access to content regardless of search engine indexing
- Reliable error handling for non-existent URLs
- Prevention of false content generation
Integration with OpenAI
After scraping the content, we can use OpenAI’s chat module to generate accurate summaries of the articles. The process involves passing the scraped content to OpenAI with specific instructions to summarize the article and highlight its most important points.
Advanced Scraping Options
For even better results, services like ScrapingBee or Scrapio can be integrated with Make.com to provide cleaner data extraction. These services offer more refined content scraping compared to the basic HTTP module, potentially reducing costs and processing time due to more efficient data handling.
The automation templates demonstrated in this solution are available through The AI Automators, providing you with ready-to-use workflows for implementing this more reliable summarization system.
