Extract customer details from text and save them in PostgreSQL
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Workflow Description
Automation template that retrieves tweets from X, extracts key information using OpenAI language models, and automatically stores analyzed results in a Postgres database for ongoing review and insights.
How it works
- 1.Activate the manual trigger to start processing tweets
- 2.Extract text and important data from incoming tweets
- 3.Send content to OpenAI model for intelligent analysis and processing
- 4.Store analyzed results and insights in the Postgres database
Use cases
- Monitor important accounts and automatically categorize content from X
- Collect customer feedback and reviews from X, storing analyzed insights
- Track news topics and trends, automatically saving summarized intelligence
Requirements
- Active X account with valid API credentials and authentication setup
- Active OpenAI API key for accessing language models
- Pre-configured Postgres database with tables ready to store analyzed data
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (4)
When clicking ‘Execute workflow’
Manual Trigger
Information Extractor
Information Extractor
OpenAI Chat Model
OpenAI
Insert rows in a table
Postgres
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