gabrielmoreira Procore Performance Tuning
Overview
Implementation patterns for Procore performance tuning using the REST API with OAuth2 authentication.
Prerequisites
- Completed
procore-install-authsetup
Instructions
Step 1: API Call Pattern
import os, requests
token_resp = requests.post("https://login.procore.com/oauth/token", data={
"grant_type": "client_credentials",
"client_id": os.environ["PROCORE_CLIENT_ID"],
"client_secret": os.environ["PROCORE_CLIENT_SECRET"],
})
access_token = token_resp.json()["access_token"]
headers = {"Authorization": f"Bearer {access_token}"}
companies = requests.get("https://api.procore.com/rest/v1.0/companies", headers=headers)
print(f"Companies: {len(companies.json())}")
Output
- Procore API integration for performance tuning
Error Handling
| Error | Cause | Solution |
|---|---|---|
| 401 Unauthorized | Expired token | Re-authenticate |
| 429 Rate Limited | Too many requests | Implement backoff |
| 403 Forbidden | Insufficient permissions | Check project role |
Resources
Next Steps
See related Procore skills for more workflows.