Supermetrics for Amazon S3
Connect Google Business Profile to Amazon S3 — Raw Data Lake Storage
Export your Google Business Profile data to S3 as structured files. Archive local search visibility, customer actions, and review data across all locations.
Why Connect Google Business Profile to Amazon S3?
Store your raw Google Business data in Amazon S3 for custom pipelines and full data ownership.
- Store search impressions, customer actions, and review data in S3 for multi-year local SEO tracking.
- Combine GMB data with Search Console and GA4 in S3 for unified local marketing analytics.
- Run SQL across hundreds of locations in Athena — rank, compare, and flag outliers instantly.
How to Connect Google Business Profile to Amazon S3
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select Google Business Profile as your source and Amazon S3 as your destination.
- 2
Configure your S3 bucket
Enter your S3 bucket name, region, and AWS credentials. Choose the file format (CSV, JSON, or Parquet) and the folder prefix for your data.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your Google Business Profile data begins flowing to S3 automatically as structured files.
Google Business Profile Data Format in Amazon S3
Supermetrics delivers your Google Business data in clean, structured files ready for downstream processing.
Comma-separated values — universally compatible and easy to inspect.
Structured key-value format — ideal for location data with nested fields.
What to Build with Google Business Profile Data in Amazon S3
Once your Google Business data lands in Amazon S3, here's what becomes possible.
Multi-location dashboards
Query location performance in Athena and feed results into business intelligence tools.
Review sentiment analysis
Feed review text from S3 into Comprehend or SageMaker for automated sentiment tracking.
What Google Business Profile Data Can You Pull into Amazon S3?
Supermetrics gives Amazon S3 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
Why Supermetrics for Amazon S3?
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 Amazon S3 — 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.
Full Data Ownership
Your Google Business Profile data lands in storage you control. No vendor lock-in, no proprietary formats — standard files you can process with any tool.
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
- Log into the Supermetrics Hub, create a new data transfer, select Google Business Profile as the source and Amazon S3 as the destination. Provide your S3 bucket name, region, and AWS credentials (access key + secret key or IAM role ARN). Choose your metrics, set a schedule, and start the transfer. Supermetrics writes structured files directly to your S3 bucket — no custom scripts needed. For optimal downstream analytics, choose Parquet format: it's columnar, compressed, and works natively with Athena, Redshift Spectrum, and AWS Glue crawlers without schema definition.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. Data transfers are encrypted in transit via TLS. Once in S3, your data inherits AWS-native security controls: server-side encryption (SSE-S3, SSE-KMS, or SSE-C), S3 bucket policies to restrict access by IAM principal or IP range, S3 Object Lock for immutable audit trails, and optional VPC endpoints so traffic never leaves the AWS backbone. You can also enable S3 Access Logging and CloudTrail data events to track every read and write to your marketing data. Supermetrics does not retain your data after delivery.
- Absolutely. S3 is the standard landing zone for AWS data lakes. Transfer Google Business Profile alongside Google Ads, GA4, CRM exports, and any other data into the same bucket, then query across all sources with Amazon Athena using standard SQL — no loading step required. For automated processing, configure S3 Event Notifications to trigger a Lambda function whenever Supermetrics delivers a new file, or run an AWS Glue crawler to update your Data Catalog automatically. Supermetrics supports 170+ sources, all deliverable to the same S3 prefix structure for a clean, partitioned data lake.
- All standard Google Business Profile reporting metrics and dimensions are available, including Search impressions, Views (total), Views (Maps), Views (Search), Actions (total), Actions (website), and many more. You choose exactly which fields to include during transfer setup. Data arrives as clean, structured files in CSV, JSON, or Parquet format. Parquet is especially powerful for S3-based analytics: Athena and Redshift Spectrum can push predicate filters down to the file level, meaning queries scan only the columns and row groups they need — dramatically reducing both query time and per-query cost.
- You can schedule transfers hourly, daily, weekly, or monthly. Most teams use daily transfers for a reliable morning-ready dataset. Supermetrics handles incremental delivery so only new and updated records are written, keeping your S3 costs low and file sizes manageable. For real-time reaction workflows, pair your daily Supermetrics delivery with an S3 Event Notification that triggers a Lambda function — for example, to recalculate budget pacing or fire an alert the moment fresh Google Business Profile data lands in your bucket.
- Yes. Review counts, star ratings, and review comments are included in the export.
- Yes. All locations linked to your GMB account are included with location name and address dimensions.
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