This n8n workflow automates the process of monitoring Twitter for specific keywords, analyzing the sentiment of relevant tweets and form submissions, and storing positive content into a Strapi database. Starting with a scheduled trigger every 30 minutes, the workflow searches Twitter for recent tweets containing keywords like ‘strapi’ or ‘n8n.io’, filtering out retweets and older posts to focus on fresh content. Simultaneously, it captures webhook data from form submissions, simplifying the data for analysis. Both tweet content and form submissions undergo sentiment analysis via Google Cloud Natural Language API. The workflow then merges the sentiment results with their respective sources and assesses whether the sentiment is positive. Positive tweets and form submissions are subsequently stored in Strapi, enabling effective content curation, sentiment tracking, and social media monitoring. This workflow is ideal for social media teams, marketers, or content managers looking to automate content monitoring and positive engagement tracking.