Automate Twitter Sentiment Analysis with OpenAI, Sheets & Slack
Scrapes Twitter mentions using Apify, analyzes sentiment with OpenAI, logs to Google Sheets, and sends Slack alerts for negative tweets.
This workflow automates brand monitoring on Twitter by running on a schedule to scrape recent mentions or hashtags via Apify. It filters out duplicates, performs sentiment analysis using OpenAI to classify tweets as Positive, Neutral, or Negative, and logs all details including content and potential replies into a Google Sheet.
For negative sentiments, it instantly notifies your Slack channel with tweet details for quick response. Positive tweets trigger automated thank-you reply generation and
- Platform
- n8n
- Category
- Education
- Price
- $24.99
- Creator
- Jana Aziz
- sentiment-analysis
- openai
- google-sheets
- slack
- apify
- brand-monitoring
- social-media
- automation
- ai
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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