Procore Data Handling

Procore Data Handling

Overview

Implementation patterns for Procore data handling 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 data handling

Error Handling

Resources

• Procore Developers
• REST API Reference

Next Steps

See related Procore skills for more workflows.

Source: jeremylongshore/claude-code-plugins-plus-skills → skills/.curated/procore-data-handling/SKILL.md

Also appears in: jeremylongshore/claude-code-plugins-plus-skills/plugins/saas-packs/procore-pack/skills/procore-data-handling/SKILL.md