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ETL Pipeline for Text Processing (twitter)

ETL pipeline for text processing. Uses twitter, postgres, mongoDb, slack. Scheduled trigger; 9 nodes.

Cron / scheduled trigger★★★★☆ complexity9 nodesTwitterPostgresMongoDBSlackGoogle Cloud Natural Language
Data & Sheets Trigger: Cron / scheduled Nodes: 9 Complexity: ★★★★☆ Added:

This workflow follows the Postgres → Slack recipe pattern — see all workflows that pair these two integrations.

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About this workflow

ETL pipeline for text processing. Uses twitter, postgres, mongoDb, slack. Scheduled trigger; 9 nodes.

Source: https://github.com/tommyshum/n8n_template_library/blob/87d0b7db31db00fcf781424ca7d9e86f1c9a9e1b/templates/official/template_1045/workflow.json — original creator credit. Request a take-down →

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