Files & Documents

Monitor and automatically process S3 files

17 nodes 312 129 Automatic trigger
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Workflow Description

A workflow that monitors Amazon S3 buckets and triggers automatic processing actions when new files are uploaded, with the ability to check conditions and halt operations upon errors to ensure data quality.

How it works

  1. 1.Enable automatic monitoring for the specified S3 bucket
  2. 2.Split and process each file independently
  3. 3.Check file conditions and route to the appropriate operation
  4. 4.Send HTTP requests to process data or integrate with external services
  5. 5.Stop the workflow when errors are detected and notify the administrator

Use cases

  • Process uploaded files automatically without manual intervention
  • Manage data transfer between S3 and other business applications
  • Check file quality and automatically reject invalid files

Requirements

  • AWS account with S3 access permissions
  • Configured S3 bucket with defined monitored folder paths
  • Endpoint identifiers for external services if needed

Service Value

Ready-made workflow template for automation delivery and service execution.

Apps Used

Aws S3

Details

Trigger Automatic trigger
Nodes 17
Apps 1
Views 312
Downloads 129

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (17)

/

When clicking ‘Test workflow’

Manual Trigger

#1

List Invoices

Split Out

#2

Inject s3 Subpath

Set

#3

Set-Subpath

Set

#4

We do only Invoice Objects

If

#5

It shouldn't be something else

Stop And Error

#6

ENV*

Set

#7

Download Invoice PDF from Stripe

HTTP Request

#8

Sticky Note

Sticky Note

#9

Sticky Note1

Sticky Note

#10

Sticky Note2

Sticky Note

#11

Every Month the First Day of the Month

Schedule Trigger

#12

Sticky Note3

Sticky Note

#13

Note3

Sticky Note

#14

Get all Invoices*

HTTP Request

#15

Upload to S3 Bucket*

Aws S3

#16

Clean and Escape ENV

Set

#17