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Consolidate Harvest time tracking data in MongoDB for custom reporting. Latenode’s visual editor simplifies the data pipeline, while affordable execution-based pricing helps to manage costs as your team grows. Combine no-code with JS for advanced analysis.
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Create a New Scenario to Connect Harvest and MongoDB
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 MongoDB will be your first step. To do this, click "Choose an app," find Harvest or MongoDB, 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 MongoDB Node
Next, click the plus (+) icon on the Harvest node, select MongoDB from the list of available apps, and choose the action you need from the list of nodes within MongoDB.
Harvest
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MongoDB
Authenticate MongoDB
Now, click the MongoDB node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your MongoDB settings. Authentication allows you to use MongoDB through Latenode.
Configure the Harvest and MongoDB 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 MongoDB Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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MongoDB
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, MongoDB, 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 MongoDB integration works as expected. Depending on your setup, data should flow between Harvest and MongoDB (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Harvest + MongoDB + Slack: When a new time entry is created in Harvest, the details are saved to a MongoDB database. A Slack notification is sent to a designated channel informing managers of the new time entry.
Harvest + MongoDB + Jira: When a new time entry is created in Harvest, the data is saved to MongoDB. If the tracked time exceeds a predefined budget (determined outside of this flow), a new Jira ticket is created.
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 MongoDB
Use MongoDB in Latenode to automate data storage and retrieval. Aggregate data from multiple sources, then store it in MongoDB for analysis or reporting. Latenode lets you trigger workflows based on MongoDB changes, create real-time dashboards, and build custom integrations. Low-code tools and JavaScript nodes unlock flexibility for complex data tasks.
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How can I connect my Harvest account to MongoDB using Latenode?
To connect your Harvest account to MongoDB on Latenode, follow these steps:
Can I archive Harvest data in MongoDB for long-term storage?
Yes, you can! Latenode's flexible workflows allow you to automatically archive Harvest data to MongoDB, freeing up space & creating valuable business intelligence.
What types of tasks can I perform by integrating Harvest with MongoDB?
Integrating Harvest with MongoDB allows you to perform various tasks, including:
How does Latenode enhance Harvest data analysisusing MongoDB?
Latenode provides visual tools and JavaScript blocks to transform Harvest data before it reaches MongoDB, offering advanced insights without manual coding.
Are there any limitations to the Harvest and MongoDB integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: