Automated Wikipedia Content Summarization & LinkedIn Posting

This workflow streamlines the process of transforming Wikipedia articles into engaging LinkedIn posts. It begins when a user submits an article name via a form, triggering a web scraping request through Bright Data to gather the article’s content. The workflow then monitors the scraping progress, periodically checking until the data is ready. Once scraped, the content is summarized by an AI model (GPT-4.1 or Claude), generating a concise, professional summary suitable for LinkedIn audiences. Simultaneously, an relevant image is generated using the Ideogram API based on the summarized content. Finally, the workflow creates a LinkedIn post that includes both the summarized text and the generated image. This automation is ideal for content marketers, researchers, or professionals seeking to share insightful knowledge efficiently on social media.