ETL Pipeline: Tweet Collection, Sentiment Analysis & Slack Alerts

Automates daily tweet collection via Twitter, stores in MongoDB, performs sentiment analysis with Google Cloud NL, saves enriched data to Postgres, and notifies Slack of positive tweets.

This n8n workflow implements a complete ETL pipeline for processing tweets. It starts with a Cron node triggering daily execution to search Twitter for specific hashtags like #OnThisDay. Collected tweets are inserted into MongoDB for raw storage, then analyzed using Google Cloud Natural Language API to determine sentiment scores and magnitudes. A Set node extracts these key metrics, which are then inserted alongside the original tweet data into a Postgres database for structured querying and rep
Platform
n8n
Category
Crypto & Blockchain
Price
$22.99
Creator
Timo Salim

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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