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Automatically back up your Harvest timesheets and invoices to Google Cloud Storage. Latenodeβs visual editor makes custom data transformations easy, and you only pay for execution time, not per step.
Connect Harvest and Google Cloud Storage in minutes with Latenode.
Create Harvest to Google Cloud Storage workflow
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β 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 Google Cloud Storage will be your first step. To do this, click "Choose an app," find Harvest or Google Cloud Storage, and select the appropriate trigger to start the scenario.

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

Harvest
Next, click the plus (+) icon on the Harvest node, select Google Cloud Storage from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Storage.

Harvest
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Google Cloud Storage
Now, click the Google Cloud Storage node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Storage settings. Authentication allows you to use Google Cloud Storage through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Google Cloud Storage
Trigger on Webhook
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Harvest
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Iterator
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Webhook response
After configuring Harvest, Google Cloud Storage, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Harvest and Google Cloud Storage integration works as expected. Depending on your setup, data should flow between Harvest and Google Cloud Storage (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Harvest + Google Cloud Storage + Slack: When a new time entry is created in Harvest, the timesheet data is archived to Google Cloud Storage. Slack notifies managers about the completed archive process.
Google Cloud Storage + Harvest + Google Sheets: This flow monitors Google Cloud Storage for changes. It then retrieves project information from Harvest and updates a Google Sheet to track storage costs and billing.
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 Google Cloud Storage
Use Google Cloud Storage in Latenode for automated file management. Upload, download, and manage files in your workflows. Automate backups, data archiving, or image processing. Connect GCS to other apps for seamless data transfer and triggering events. Latenode's visual editor simplifies complex file-based automations.
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How can I connect my Harvest account to Google Cloud Storage using Latenode?
To connect your Harvest account to Google Cloud Storage on Latenode, follow these steps:
Can I archive Harvest reports in Google Cloud Storage?
Yes, you can! Latenode enables automated archiving of Harvest reports to Google Cloud Storage. Securely store and manage your data effortlessly and comply with archiving policies.
What types of tasks can I perform by integrating Harvest with Google Cloud Storage?
Integrating Harvest with Google Cloud Storage allows you to perform various tasks, including:
Can I filter Harvest data before saving to Google Cloud Storage?
Yes! Latenode lets you filter Harvest data with code blocks before saving it. Handle exactly the data you need for analysis or archival.
Are there any limitations to the Harvest and Google Cloud Storage integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: