procore-performance-tuning

# Procore Performance Tuning ## Overview Implementation patterns for Procore performance tuning using the REST API with OAuth2 authentication. ## Prerequisites - Completed `procore-install-auth` setup ## Instructions ### Step 1: API Call Pattern ```python 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 - [Procore Developers](https://developers.procore.com/) - [REST API Reference](https://developers.procore.com/reference/rest) ## Next Steps See related Procore skills for more workflows.