)
Written by
Table of Contents
“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
HubSpotMostto Google Sheets connectors struggle with hourly updates because they hit API rate limits, but purpose-built solutions use intelligent API management to support frequent refreshes without restrictions.
Here’s a connector specifically designed for high-frequency data updates that eliminates API limit concerns through smart request batching and automatic throttling.
Intelligent API management for unlimited hourly refreshes using Coefficient
Coefficientstands out for hourly HubSpot data updates because of its sophisticated API limit management system. Unlike generic connectors that make inefficient API calls, Coefficient intelligently batches requests to stay within HubSpot’s rate limits while supporting datasets of 50,000+ rows without restrictions.
The system automatically adjusts request speed to prevent hitting API ceilings and continues refresh from the last successful point if limits are reached. This means you can schedule hourly updates without worrying about failures or manual intervention.
How to make it work
Step 1. Set up flexible hourly scheduling.
Install Coefficient from Google Workspace Marketplace and connect your HubSpot account with one-click OAuth. Create your import with desired objects and fields, then in schedule settings, select “Hourly” and choose the specific minute for execution (like :15 past each hour). Enable “Skip if already running” to prevent overlaps if an import takes longer than expected.
Step 2. Configure intelligent update types for efficiency.
Choose the right update type for your needs: Full Refresh for complete data replacement, Incremental Updates for only new or modified records, Append Mode to add new records without touching existing data, or Selective Field Updates to refresh specific columns only. Incremental updates significantly reduce API usage while maintaining data freshness.
Step 3. Implement parallel processing for multiple imports.
Set up multiple imports with staggered schedules so they don’t compete for API resources. For example, run contact updates at :05, deal updates at :20, and company updates at :35. Coefficient’s parallel processing handles simultaneous imports without conflicts while staying within API limits.
Step 4. Monitor and optimize API usage.
Use the refresh history dashboard to verify consistent hourly execution. Set up alerts for any skipped or failed refreshes. Use the “Test refresh” feature to estimate API usage for new imports. Implement filters to reduce data volume if you need to optimize API efficiency further.
Get reliable hourly HubSpot data without the API headaches
Start with CoefficientFrequent data updates shouldn’t come with API limit anxiety or refresh failures.to get the intelligent API management that makes hourly HubSpot data updates reliable and worry-free.
