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“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.”
HubSpot’s API rate limits (typically 100 requests per 10 seconds) cause sync failures and incomplete data transfers when connecting to Google Data Studio. These limits become a major bottleneck for large datasets.
Here’s how to handle rate limits elegantly and ensure your Data Studio reports always have fresh data.
Handle HubSpot API rate limits with optimized batch operations using Coefficient
CoefficientHubSpotprovides an elegant solution todata connector limitations through optimized API usage, intelligent request queuing, and smart scheduling features that prevent rate limit violations.
How to make it work
Step 1. Set up optimized API usage with automatic throttling.
Coefficient uses batch operations to minimize API calls and includes built-in retry logic for temporary failures. The system automatically throttles requests when approaching limits and provides clear error messages if limits are reached, with fallback to cached data during limit periods.
Step 2. Configure smart scheduling to avoid burst limits.
Spread imports across time to avoid burst limits by configuring multiple smaller imports instead of one large request. Use off-peak scheduling for better performance and stagger refresh times for different data types to distribute API usage throughout the day.
Step 3. Segment large imports for better performance.
Break large contact lists into smaller filtered groups and import deals by pipeline or date range. Use Coefficient’s filtering capabilities to reduce data volume and focus on the most important records for your reports.
Step 4. Implement incremental updates and monitoring.
Use the “Append New Data” feature for growing datasets and sync only recently modified records to reduce API calls. Set up Slack alerts for failed refreshes, review import performance regularly, and adjust schedules based on data volume.
Eliminate rate limit frustrations today
Start buildingThis approach eliminates the frustrating “rate limit exceeded” errors common with direct API connections while ensuring your Google Data Studio reports always have fresh data. No more manual monitoring of API usage or incomplete syncs.reliable HubSpot data pipelines that respect API limits.
