How to Send Roboflow Model Predictions to Zapier Webhooks
Blog post from Roboflow
The article by James Gallagher outlines a step-by-step guide on integrating Roboflow with Zapier to automate the process of storing computer vision model predictions. It explains how to use a Python script to run inference on images using a model from Roboflow, specifically an Aerial Solar Panels model, and subsequently send the prediction data to a webhook configured in Zapier. This webhook then routes the data to Google Sheets, allowing for easy storage and analysis of the predictions. The guide emphasizes the versatility of Zapier's automation capabilities, which include connecting the predictions to a wide range of applications beyond Google Sheets, such as sending emails or notifications. It highlights the need for a Zapier paid subscription to use webhooks and provides detailed instructions on setting up the workflow, including creating folders, writing a Python script, and configuring Zapier actions. The article is designed to help users, even those with minimal coding experience, efficiently connect their Roboflow models to various applications using Zapier's no-code automation tools.