Supermetrics for BigQuery
Connect Google Business Profile to BigQuery — Local Business Intelligence at Warehouse Scale
Warehouse your Google Business Profile search visibility, actions, and review data in BigQuery for multi-location analysis and local SEO optimization.
Why Connect Google Business Profile to BigQuery?
Warehouse your Google Business data in BigQuery for unlimited historical analysis and cross-source SQL.
Multi-location benchmarking
Compare search visibility, actions, and review scores across hundreds of locations in one SQL query.
Local SEO keyword tracking
Analyze which search keywords drive Discovery and Direct searches for each location over time.
Review sentiment analysis
Warehouse review data for SQL-based sentiment analysis and response rate tracking across locations.
How to Connect Google Business Profile to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into BigQuery automatically.
Google Business Profile Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Google Business data looks like in BigQuery.
Data Freshness & Scheduling
Google Business Profile data typically available within 48-72 hours. Weekly transfers recommended.
What Google Business Profile Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Google Business reporting data — metrics and dimensions you already know from the Google Business interface.
Key Metrics
- Search impressions
- Views (total)
- Views (Maps)
- Views (Search)
- Actions (total)
- Actions (website)
- Actions (phone)
- Actions (driving directions)
- Review count
- Average star rating
- Photo views (total)
- Post views
Key Dimensions
- Location name
- Location address locality
- Location category name
- Location status
- Location store code
- Review star rating
- Review comment
- Post topic type
- Search keywords
Resources & Guides
Why Supermetrics for BigQuery?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in BigQuery — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated Google Business Profile records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Google Business Profile data as you need without worrying about cost spikes.
Unsampled Data
Get your complete Google Business Profile dataset without sampling. Every session, every keyword, every page — full-fidelity data for accurate analysis.
Frequently Asked Questions
How do I connect Google Business Profile to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Google Business Profile as the source and BigQuery as the destination. Authorize your Google Business Profile account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
Is my Google Business Profile data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Google Business Profile credentials are encrypted at rest and in transit. Data flows directly from the Google Business Profile API to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
Can I combine Google Business Profile data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Google Business Profile lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
What Google Business Profile metrics and dimensions are available in BigQuery?
All standard Google Business Profile reporting fields are available, including Search impressions, Views (total), Views (Maps), Views (Search), Actions (total), Actions (website), and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data.
How fresh is Google Business Profile data in BigQuery?
Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly.
Can I analyze multiple locations?
Yes. Location name and store code are available as dimensions for multi-location comparison.
Does it include review data?
Yes. Review count, average star rating, and review comments are available for reputation analysis.
Also Connect to BigQuery
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