Procore Performance Tuning Skill

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

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.

Agent Skills: Procore Performance Tuning

Install this agent skill to your local

Skill Files