Automate Positive Content Curation: Twitter & Forms to Strapi
Automatically populate your Strapi CMS with high-value, positive social mentions and form submissions, reducing manual content aggregation by up to 90% and ensuring only relevant content is stored.
Manually sifting through social media feeds and processing form submissions for valuable content is a draining, inefficient task prone to oversight. This workflow automatically identifies and stores only positive tweets and form entries using AI sentiment analysis directly into your Strapi CMS.
Documentation
Positive Content Curation for Strapi
Manually sifting through social media feeds and form submissions to find valuable, positive content can be a draining and inefficient process. This n8n workflow automates the entire content curation pipeline, ensuring your Strapi CMS is consistently updated with relevant and positive user-generated content and feedback.
Key Features
- Automated Twitter monitoring for brand mentions or custom keywords (e.g., Strapi, n8n.io).
- Real-time sentiment analysis of both tweets and form submissions using Google Cloud Natural Language.
- Intelligent filtering to store only genuinely positive content in your Strapi CMS.
- Efficiently captures content, author details, and original source URLs for easy reference.
- Supports custom form submission integration via a dedicated webhook.
How It Works
The workflow operates on two parallel tracks. One path is triggered every 30 minutes, searching Twitter for predefined keywords. It then cleans the tweet text, filters out retweets and old content, and sends remaining tweets for sentiment analysis. Only positively scored tweets are then stored in Strapi. The second path is triggered by an incoming webhook (e.g., from a web form), processes the submission, performs sentiment analysis, and, if positive, stores it in the same Strapi collection. This dual approach ensures comprehensive content capture and intelligent filtering.