Automate Content Ingestion And Sentiment Analysis From Social Media And Webhooks
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Streamline your content management by automatically fetching tweets mentioning specific keywords, analyzing their sentiment, and storing them in Strapi. This workflow also handles incoming webhook data for unified content processing.
About This Workflow
This powerful n8n workflow automates the process of content ingestion and sentiment analysis, ensuring you stay on top of relevant conversations. It's designed to capture data from two primary sources: Twitter and webhooks. For Twitter, it periodically searches for tweets containing keywords like 'strapi' or 'n8n.io', filters out retweets and older posts, and then leverages Google Cloud Natural Language to analyze the sentiment of the remaining tweets. Similarly, it can receive data via a webhook, simplifying and preparing it for further processing. Both streams of data are then enriched with author, creation date, and a direct URL, before being stored in a Strapi CMS. The workflow intelligently routes data based on sentiment scores, ensuring that only positively perceived content is prioritized for storage, providing a clean and valuable dataset.
Key Features
- Automated Social Media Monitoring: Continuously search for relevant tweets based on custom keywords.
- Smart Content Filtering: Automatically exclude retweets and older posts to focus on fresh, original content.
- Real-time Sentiment Analysis: Utilize Google Cloud Natural Language to gauge the emotional tone of captured content.
- Unified Data Ingestion: Process data from both Twitter searches and incoming webhooks into a consistent format.
- Seamless CMS Integration: Effortlessly store processed content in your Strapi CMS.
How To Use
- Configure Interval Trigger: Set the 'Every 30 Minutes' node to define how often the Twitter search will run.
- Set Up Twitter Search: In the 'Search Tweets' node, define your
searchText(e.g.,(strapi OR n8n.io) AND lang:en) and ensure your Twitter credentials are correctly set up. - Define Webhook Endpoint: In the 'Webhook' node, configure your desired
pathand ensure your external systems are set to POST data to this endpoint. - Data Simplification: The 'Simplify Result' node for Twitter and 'Simplify Webhook Result' node for webhooks are pre-configured to extract and format key data points (Content, Author, Created, URL).
- Sentiment Analysis: Connect the output of your data simplification nodes to the 'Analyze Tweet' (for Twitter) and 'Analyze Form Submission' (for webhooks) nodes. Ensure your Google Cloud Natural Language credentials are set up.
- Conditional Processing: Use the 'Is Retweet or Old?' node to filter out undesirable tweets. Subsequently, use the 'Positive Tweet Sentiment?' and 'Positive Form Sentiment?' nodes to filter based on sentiment scores.
- Strapi Integration: Connect the output of your positive sentiment checks to the 'Store in Strapi' and 'Store Form Submission in Strapi' nodes, ensuring your Strapi credentials and content type ('posts') are correctly configured.
Apps Used
Workflow JSON
{
"id": "2378bff4-0bb9-4b5d-977d-3037cea2f82c",
"name": "Automate Content Ingestion And Sentiment Analysis From Social Media And Webhooks",
"nodes": 6,
"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.
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ID: 2378bff4-0bb9...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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