Just built a custom API hook to pull Granola data into our internal BI tool. Sharing the script.

Our internal analytics team has been pushing for more granular data from our Granola deployment—specifically, daily breakdowns of API usage, cost projections, and error rates by endpoint. The Granola dashboard is excellent for real-time monitoring, but we needed to pipe this data into our existing BI pipelines for historical trend analysis and automated reporting.

The solution was a custom Python script that leverages Granola's own webhook dispatch system. Instead of waiting for Granola to push data (which is event-driven), we configured a scheduled webhook that sends a daily summary payload to a secure internal endpoint. Our script listens for this payload, transforms it, and pushes it to our data warehouse. The key was ensuring the transformation matched our internal schema.

Here's the core of the listener and transformer:

```python
import json
import pandas as pd
from datetime import datetime

def transform_granola_daily_summary(webhook_payload: dict) -> list:
"""
Transforms the Granola daily summary webhook payload into our BI schema.
Expects payload format from the 'daily_summary' webhook type.
"""
records = []
summary_date = webhook_payload.get('date')

for endpoint_data in webhook_payload.get('endpoints', []):
record = {
'report_date': summary_date,
'endpoint_path': endpoint_data['path'],
'http_method': endpoint_data['method'],
'request_count': endpoint_data['requestCount'],
'avg_response_ms': endpoint_data['avgLatency'],
'p95_response_ms': endpoint_data['p95Latency'],
'error_count': endpoint_data['errorCount'],
'estimated_cost_usd': endpoint_data['estimatedCost']
}
records.append(record)
return records

# The webhook endpoint (using Flask example)
@app.route('/webhooks/granola-daily', methods=['POST'])
def handle_granola_daily():
if request.headers.get('X-Granola-Signature') != expected_signature:
return 'Unauthorized', 401

records = transform_granola_daily_summary(request.json)
# ... code to insert 'records' into data warehouse ...
```

**Key Implementation Details:**

* **Security:** Validate the `X-Granola-Signature` header using your shared secret.
* **Idempotency:** The script checks if data for that `report_date` already exists to prevent duplicates.
* **Error Handling:** We log the full payload on transformation failure for debugging.
* **Scheduling:** Configured in Granola dashboard as a "Daily Summary" webhook, targeting our internal endpoint URL.

The integration has been running for three weeks. The data structure is consistent, and the load into our BI tool adds minimal latency. The main benefit is now having Granola operational metrics alongside our business KPIs, allowing for correlation analysis between API performance and user conversion.

benchmark or bust