Automate Content Discovery and Sentiment Analysis from Social Media to Your CMS
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Effortlessly capture and process social media mentions of your brand or keywords, analyze their sentiment, and publish relevant content directly to your Strapi CMS. This workflow automates content discovery and enriches it with valuable insights.
About This Workflow
This n8n workflow is designed to streamline your content operations by automatically monitoring social media for specific keywords and phrases, such as "strapi" or "n8n.io". It periodically searches for recent tweets, cleans them by removing URLs, and extracts key information like author and creation date. A crucial step involves analyzing the sentiment of these tweets using Google Cloud Natural Language to gauge public perception. This processed and analyzed data is then intelligently stored as new posts in your Strapi Content Management System. The workflow also supports incoming webhook data, allowing for real-time processing of other content sources and their subsequent sentiment analysis and storage, ensuring your CMS is always up-to-date with relevant and insightful content.
Key Features
- Automated Social Media Monitoring: Continuously scans Twitter for relevant discussions based on defined keywords.
- Intelligent Data Enrichment: Extracts and formats crucial information like author, timestamp, and content from social media posts.
- Advanced Sentiment Analysis: Leverages Google Cloud Natural Language to determine the emotional tone of captured content.
- Seamless CMS Integration: Automatically publishes processed and analyzed content to your Strapi backend.
- Flexible Input Options: Supports both scheduled social media fetching and real-time data ingestion via webhooks.
How To Use
- Configure Trigger: Set up the 'Every 30 Minutes' node to define how often Twitter searches are performed, or utilize the 'Webhook' node for real-time data ingestion.
- Connect to Data Sources: Authenticate the 'Search Tweets' node with your Twitter API credentials to monitor relevant keywords (e.g.,
(strapi OR n8n.io) AND lang:en). If using webhooks, ensure the 'Webhook' node is correctly configured. - Process and Simplify Data: Use the 'Simplify Result' (for Twitter) or 'Simplify Webhook Result' (for webhooks) nodes to extract and format the necessary data fields (Content, Author, Created, URL).
- Analyze Sentiment: Connect the simplified data to the 'Analyze Tweet' or 'Analyze Form Submission' nodes (which utilize Google Cloud Natural Language API) to gauge the sentiment of the content.
- Filter and Enrich: Employ the 'Is Retweet or Old?' node to filter out unwanted tweets and the 'Merge Tweet Sentiment with Source' or 'Merge Form Sentiment with Source' nodes to combine sentiment scores with original data.
- Conditional Publishing: Use 'Positive Tweet Sentiment?' or 'Positive Form Sentiment?' nodes to selectively publish content based on sentiment thresholds.
- Store in CMS: Connect the filtered and analyzed data to the 'Store in Strapi' or 'Store Form Submission in Strapi' nodes, ensuring your Strapi API credentials and content type ('posts') are correctly configured.
Apps Used
Workflow JSON
{
"id": "612298ac-c692-4795-a009-f11aaea0ec77",
"name": "Automate Content Discovery and Sentiment Analysis from Social Media to Your CMS",
"nodes": 24,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 612298ac-c692...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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