Canny

Canny is a customer feedback management platform that helps product teams collect, organize, and prioritize feature requests and bug reports. It gives you a centralized place where users vote on ideas and teams track what gets built. Connecting Canny to Coupler.io lets you pull that feedback data into your analytics tools, dashboards, or AI assistants.

Why connect Canny to Coupler.io?

• Export posts, votes, and comments to Google Sheets, Excel, or BigQuery for deeper analysis

• Track feature request trends over time using status change history

• Combine Canny data with CRM or product data to understand which companies drive the most feedback

• Send feedback summaries to AI destinations like ChatGPT, Claude, or Gemini for automated synthesis

Prerequisites

• A Canny account (any plan that provides API access)

• Your Canny API key (found in Settings → API in your Canny workspace)

Quick start

Start with the Posts entity — it's the core of Canny and gives you the richest data including vote counts, status, board, and author details all in one place.

How to connect

1

Create a new data flow in Coupler.io. Log in to Coupler.io, go to Data flows, and click New data flow. Search for Canny and select it as your source.

2

Enter your Canny API key. In your Canny workspace, go to Settings → API and copy your API key. Paste it into the API key field in Coupler.io.

3

Select an entity. Choose what data you want to pull — Posts, Votes, Users, Comments, or any of the other available entities. You can add more sources to the same data flow to combine multiple entities.

4

Choose your destination. Select where you want to send the data — Google Sheets, Excel, BigQuery, Looker Studio, or an AI destination like ChatGPT, Claude, or Gemini.

5

Run the data flow. Click Run to execute a manual sync. Once it completes successfully, your Canny data will appear in your destination.

Available entities

Entity	Description
Boards	Feature request boards that organize posts by product area or category
Categories	Custom categories used to classify and filter posts within boards
Changelog entries	Product updates and release notes published to users
Comments	User comments and replies on feature request posts
Companies	Organizations associated with user accounts
Posts	Feature requests, bug reports, and feedback submitted by users
Status changes	History of status updates applied to posts over time
Tags	Labels used to categorize and organize posts and feedback
Users	User accounts and profiles of people who submit feedback
Votes	User votes and upvotes on feature request posts