Automated Trend Extraction and Hashtag Generation Workflow

This n8n workflow is designed to automate the process of extracting trending hashtags from popular platforms like Twitter and YouTube, and then generating new, relevant hashtags based on current trends. The workflow starts with a scheduled trigger that runs daily, initiating web scraping nodes to extract trending data from ‘trends24.in’ and ‘youtube.trends24.in’. The extracted data is processed to filter out the top 100 trends using HTML content extraction nodes. These trends are then combined in a merge node and passed through a hashtag filtering step to clean up the data. Subsequently, an AI language model (Mistral Cloud Chat Model) is used to generate a new, catchy hashtag based on the trending topics, by analyzing the list of current trends. The generated hashtag can be stored in Google Sheets for future reference or analysis. This workflow is ideal for social media managers, content creators, or marketing teams looking to stay ahead of the latest trends and create timely, relevant hashtags to boost engagement.