How to connect Harvest and Amazon S3
Create a New Scenario to Connect Harvest and Amazon S3
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Harvest, triggered by another scenario, or executed manually (for testing purposes). In most cases, Harvest or Amazon S3 will be your first step. To do this, click "Choose an app," find Harvest or Amazon S3, and select the appropriate trigger to start the scenario.

Add the Harvest Node
Select the Harvest node from the app selection panel on the right.


Harvest

Add the Amazon S3 Node
Next, click the plus (+) icon on the Harvest node, select Amazon S3 from the list of available apps, and choose the action you need from the list of nodes within Amazon S3.


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Amazon S3


Authenticate Amazon S3
Now, click the Amazon S3 node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Amazon S3 settings. Authentication allows you to use Amazon S3 through Latenode.
Configure the Harvest and Amazon S3 Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Harvest and Amazon S3 Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

JavaScript
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AI Anthropic Claude 3
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Amazon S3
Trigger on Webhook
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Harvest
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Iterator
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Webhook response


Save and Activate the Scenario
After configuring Harvest, Amazon S3, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Harvest and Amazon S3 integration works as expected. Depending on your setup, data should flow between Harvest and Amazon S3 (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Harvest and Amazon S3
Harvest + Amazon S3 + Slack: When a Harvest time entry is created, the data is archived to an Amazon S3 bucket. A Slack message is then sent to the project manager to notify them of the new time entry archive.
Amazon S3 + Harvest + Google Sheets: When a new file is added to an Amazon S3 bucket, project data from Harvest is retrieved and added to a Google Sheet for analysis.
Harvest and Amazon S3 integration alternatives

About Harvest
Automate time tracking with Harvest in Latenode. Sync time entries to accounting, payroll, or project management. Create flows that auto-generate invoices or trigger alerts for budget overruns. Latenode provides the flexibility to connect Harvest data to other apps and add custom logic, avoiding manual updates and delays.
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About Amazon S3
Automate S3 file management within Latenode. Trigger flows on new uploads, automatically process stored data, and archive old files. Integrate S3 with your database, AI models, or other apps. Latenode simplifies complex S3 workflows with visual tools and code options for custom logic.
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FAQ Harvest and Amazon S3
How can I connect my Harvest account to Amazon S3 using Latenode?
To connect your Harvest account to Amazon S3 on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Harvest and click on "Connect".
- Authenticate your Harvest and Amazon S3 accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I archive Harvest invoices in Amazon S3 automatically?
Yes, you can! Latenode lets you build automated workflows to save Harvest invoices directly to Amazon S3. Benefit from secure, scalable storage and easy document management.
What types of tasks can I perform by integrating Harvest with Amazon S3?
Integrating Harvest with Amazon S3 allows you to perform various tasks, including:
- Automatically backing up Harvest timesheets to an S3 bucket.
- Archiving project reports from Harvest to a secure S3 storage.
- Creating a data lake for Harvest financial data in Amazon S3.
- Triggering alerts based on Harvest data stored in Amazon S3.
- Analyzing Harvest data using AI tools connected to Amazon S3.
How do I handle large Harvest datasets when using Latenode?
Latenode efficiently processes large Harvest datasets with built-in pagination and batch processing, ensuring seamless integration with Amazon S3 for archival and analysis.
Are there any limitations to the Harvest and Amazon S3 integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time synchronization might be subject to API rate limits.
- Complex data transformations may require JavaScript coding.
- Initial setup requires understanding of both services' APIs.