Securely export your web data to Amazon S3

Browse AI's Amazon S3 integration gives you complete ownership of your extracted web data by exporting it directly to your own secure cloud storage, making it instantly available for your analytics, applications, and business workflows.

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The perfect data pipeline for Amazon S3

Our S3 integration lets you export structured web data directly to your own secure cloud storage. With minimal setup and maximum security, you'll have complete control over your extracted data while maintaining all the benefits of Browse AI's powerful extraction capabilities.

Own your extracted data

Export all data extracted by your robots directly to your company's AWS infrastructure, maintaining complete ownership and control over your valuable datasets.

Organized file structure

Exports are automatically organized with timestamp-based directories and clear naming conventions, making it easy to manage and track your data history.

Secure, permission-limited access

Our CloudFormation template creates minimal-access IAM roles, following AWS security best practices to ensure Browse AI can only write to designated locations.

Enterprise-ready security

Built for security-conscious organizations with SOC 2 compliance and enterprise-grade permissions management to protect sensitive data.

Flexible export options

Export data in multiple formats (CSV, JSON) with options for combined files or individual records, giving you versatility for downstream processing.

Integrate with AWS services

Trigger AWS Lambda functions, data processing workflows, or analytics when new data arrives in your S3 bucket, creating seamless data pipelines.

One-click sync

Setup once and sync gigabytes of data from your Browse AI tables to Amazon S3 with just one click.

Scale with confidence

Handle massive datasets with S3's virtually unlimited storage, perfect for large-scale web data extraction projects.

Frequently Asked Questions

How do I set up the Browse AI S3 integration?

Getting started takes just minutes:

Sign up for a free Browse AI account
Create and approve your first robot
Use our CloudFormation template to set up secure access to your S3 bucket
Go to your robot's Integrate tab and select AWS
Enter your bucket details and connection information
Start exporting data automatically

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What permissions does Browse AI get to my AWS account?

Browse AI receives only the minimum permissions needed to export data to your specified S3 bucket or folder. Using our CloudFormation template ensures we follow AWS security best practices with:

Write-only access to your designated bucket/folder
No access to read or delete existing files
No permissions to any other AWS services
A unique External ID for additional security verification

What file formats can I export to S3?

Browse AI supports exporting your data to S3 in both CSV and JSON formats. You can choose the format that best suits your downstream processing needs when setting up your export.

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How are files organized in my S3 bucket?

Files in your bucket are organized with a clear structure:

Each export creates a unique directory named with a timestamp and export ID
Files are named according to the Table tab from which they come
Large files are automatically split into manageable chunks
Optional per-record exports create individual JSON files

Can I export only specific data to S3?

Yes! When exporting, you can:

Choose specific Table tabs to export
Apply filters to export only certain records
Include or exclude historical data
Export only new or changed data from monitoring

Is the S3 integration available on all Browse AI plans?

Yes, all Browse AI plans include the S3 integration at no additional cost. Credit usage is based on your regular robot runs, not the integration itself.

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How do I verify my S3 integration is working?

After setup, run a test export from your robot's Table. Check your S3 bucket to confirm the data was successfully exported with the expected file structure. You can also view your export history in Browse AI.

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How secure is the connection?

The integration follows AWS security best practices, including:

IAM roles with least-privilege permissions
External ID verification
Optional path restrictions to limit access
Encrypted data transfer
No storage of your AWS credentials

How do I troubleshoot integration issues?

If you encounter problems:

Verify your IAM role ARN is correct
Confirm your External ID matches exactly
Check that your bucket name and region are correct
Ensure the bucket exists and is properly configured
Review AWS CloudTrail logs for access issues

Can I process the data once it's in S3?

Yes! Once your data is in S3, you can use the full AWS ecosystem to process it:

Trigger Lambda functions when new data arrives
Create ETL jobs with AWS Glue
Query data with Amazon Athena
Build dashboards with QuickSight
Train ML models with SageMaker

Can I use S3 integration for compliance requirements?

Yes, the S3 integration is ideal for organizations with data residency or compliance requirements. Since data is stored in your own AWS account, you maintain complete control over data location, retention policies, and access controls.

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