Automated Google Business Profile Data Audits for B2B SaaS

Description and use

Automated Google Business Profile audit for B2B SaaS: a Python script checks categories, NAP, hours, and status, flagging discrepancies.

Problem

Local and multi‑location Google Business Profiles drift out of sync, causing category mismatches, stale NAP data, incorrect hours, and silent errors that erode local rankings.

Outcome

The script identifies category mismatches, invalid or missing phone numbers, incomplete addresses, hour gaps, and non‑open statuses, enabling timely corrections and preserving local SEO signals.

Workflow

• 1. Create a Google Cloud project and enable the Business Profile API.
• 2. Obtain OAuth2 credentials for an account with access to the locations.
• 3. Install dependencies: pip install google-api-python-client google-auth-oauthlib phonenumbers pandas.
• 4. Prepare a canonical data dictionary mapping location IDs to expected category, country code, and phone.
• 5. Run the script to fetch each location, validate category, phone format, address completeness, business hours, verification status, and open status.
• 6. Collect and review the generated issue list to correct inconsistencies.
• 7. Schedule the script to run regularly (e.g., weekly) to maintain profile health.

Evidence

We built a lightweight audit script using the Google Business Profile API to flag inconsistencies automatically.

Source