AI-Powered Visual Regression Testing Workflow
Automates website visual regression testing using Google Sheets for URLs, Apify for screenshots, Google Drive for storage, and Google Gemini AI Vision model for comparing changes. Results generate detailed reports in Linear.app.
Apps in this workflow
How it works
- Schedule Trigger1
- Manual Trigger2
- Google Sheets3
- Loop Over Items4
- Merge5
- Edit Fields6
- Google Drive7
- HTTP Request8
- Filter9
- Wait10
- Aggregate11
- LLM Chain12
- +33 more step types
The building blocks this workflow uses, in the order data flows through them.
What you'll need
- An n8n instance (self-hosted or n8n Cloud).
- A Google Sheets account, connected in n8n as a credential.
- A Google Drive account, connected in n8n as a credential.
- A Linear account, connected in n8n as a credential.
- An API key for Google Gemini in n8n: the workflow calls the model each time it runs.
Gydmation shows step-by-step credential setup for each app, so your keys go straight into n8n and never to Gydmation.
Make it yours in plain English
Open the template in Gydmation and describe the change. It edits the workflow, checks it against real n8n node schemas, and deploys it to your n8n. For example:
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