Automate Sentiment Analysis and Storage of Tweets and Form Submissions in Strapi
This workflow automates the process of analyzing sentiment from tweets and form submissions, storing positive results in Strapi. It combines data from Twitter and webhooks, performs sentiment analysis using Google Cloud Natural Language, and stores positive content in Strapi.
This workflow is designed to streamline the management of testimonials by integrating data from Twitter and form submissions. It searches for tweets related to Strapi and n8n every 30 minutes, analyzes their sentiment, and stores those with positive sentiment in Strapi. Simultaneously, it listens for form submissions via a webhook, analyzes their sentiment, and stores positive entries in Strapi. This integration ensures that only positive content is stored, enhancing the quality of testimonials.
- Platform
- n8n
- Category
- Marketing
- Price
- $9.99
- Creator
- Indira Kapoor
- if
- set
- merge
- strapi
- webhook
- interval
- googleCloudNaturalLanguage
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.
Related Marketing workflows
- Automate UGC Video Creation and Instagram Posting with Google Gemini and Veo 3$9.99
- Automate Lead Generation and Cold Email Outreach$14.99
- Automate Professional Video Ad Creation from Product Images$19.99
- Track SEO Keyword Rankings with Bright Data MCP and GPT-4o AI Analysis$14.99
- Automate Google Maps Data Scraping and Email Discovery for Local Business Outreach$14.99
- Automate AI-Driven Social Media Content for Auto Services$19.99
More from Indira Kapoor
Need this deployed? We'll set it up for you.
Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.