This workflow allows you to collect tweets, store them in MongoDB, analyse their sentiment, insert them into a Postgres database, and post positive tweets in a Slack channel. Cron node: Schedule the workflow to run every day Twitter node: Collect tweets MongoDB node: Insert the collected tweets in MongoDB Google Cloud Natural Language node: Analyse the sentiment of the collected tweets Set node: Extract the sentiment score and magnitude Postgres node: Insert the tweets and their sentiment score and magnitude in a Posgres database IF node: Filter tweets with positive and negative sentiment scores Slack node: Post tweets with a positive sentiment score in a Slack channel NoOp node: Ignore tweets with a negative sentiment score
Este workflow orquestra un pipeline ETL (Extract, Transform, Load) para analizar tweets, almacenar datos, analizar sentimientos y enviar resultados a Slack. Automatiza el procesamiento de datos desde Twitter, pasando por MongoDB, Google Cloud Natural Language, Postgres y Slack.
Scriflow builds and adapts n8n workflows with AI. Open this template in the editor to get the import-ready JSON.