Instagram Insights data into Google Sheets, the right way
Instagram Insights data into Google Sheets, the right way
Instead of relying on third-party connectors that often break and slow down your dashboards, use Datanable to fetch your Instagram Insights data with Data Engineering best practices without writing a single line of code.

Your Instagram Insights data into Google Sheets in 4 simple steps
Step 1
Sign in to Instagram Insights through Datanable
Step 2
Select the accounts you want to fetch data from
Step 3
Create a Google Data Share
Step 4
Use any Google product, such as Looker Studio or Google Sheets
Your data, delivered the right way
Instagram Insights + Data Engineering =
Your dashboards will NEVER break again
Your data is securely stored in an optimized Data Warehouse ensuring your dashboards always have access to your data even if the Instagram Insights API goes down.
Lightning-fast dashboards
By following Data Engineering best practices, we optimize and partition your data so your dashboards remain lightning-fast, up to 30x faster than other solutions.
Connect with any reporting tool
Whether it’s Looker Studio, Google Sheets, or Power BI, you can easily integrate and use any BigQuery-compatible reporting tool to visualize and analyze your data seamlessly.
Google Sheets with BigQuery native connector
All your marketing data in one connector, available in all your Google Sheets.

You deserve Lightning-Fast Dashboard Performance
Datanable ensures your dashboards load at blazing speeds, regardless of their complexity. By centralizing your marketing data in a high-performance Data Warehouse. Datanable delivers the power and efficiency you need for seamless data visualization and reporting.

Check out our other connectors
Access over 20+ data connectors, with new ones constantly being developed, so you can unify all your marketing data in one place and always have the latest insights at your fingertips.

Without third-party connectors
Instant integrations
Frequently asked questions
If we don’t answer your question here, please contact us