Visual Regression Testing with Apify and AI Vision Model

This n8n workflow is a proof-of-concept template exploring how we might work with multimodal LLMs and their multi-image analysis capabilities. In this demo, we compare 2 screenshots of a webpage taken at different timestamps and pass both to our multimodal LLM for a visual comparison of differences. Handling multiple binary inputs (ie. images) in an AI request is supported by n8n's basic LLM node. How it works This template is intended to run as 2 parts: first to generate the base screenshots and next to run the visual regression test which captures fresh screenshots. Starting with a list of webpages captured in a Google sheet, base screenshots are captured for each using a external web scra

Help me set up the n8n workflow "Visual Regression Testing with Apify and AI Vision Model" (https://n8n.io/workflows/2419). It uses: Google Sheets, HTTP Request, Google Drive, Linear, Basic LLM Chain, Structured Output Parser, Google Gemini Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.