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Sync Harvest time tracking data to MySQL for custom reporting. Latenode simplifies data transformation with its visual editor and JavaScript blocks, cutting costs with pay-by-execution pricing.
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Create a New Scenario to Connect Harvest and MySQL
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ 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 MySQL will be your first step. To do this, click "Choose an app," find Harvest or MySQL, 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 MySQL Node
Next, click the plus (+) icon on the Harvest node, select MySQL from the list of available apps, and choose the action you need from the list of nodes within MySQL.
Harvest
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MySQL
Authenticate MySQL
Now, click the MySQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your MySQL settings. Authentication allows you to use MySQL through Latenode.
Configure the Harvest and MySQL 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 MySQL 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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MySQL
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, MySQL, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Harvest and MySQL integration works as expected. Depending on your setup, data should flow between Harvest and MySQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Harvest + MySQL + Slack: When a new time entry is created in Harvest, the details are saved to a MySQL database. If the project budget is near its limit (determined via a MySQL query), a notification is sent to a Slack channel.
Harvest + MySQL + Google Sheets: When a new time entry is created in Harvest, the details are stored in a MySQL database. A Google Sheets report is then updated with summarized time entry data from MySQL.
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 MySQL
Use MySQL in Latenode to automate database tasks. Read, update, or create records based on triggers from other apps. Streamline data entry, reporting, or inventory management. Latenode's visual editor simplifies MySQL integrations, allowing you to build scalable workflows with no-code tools or custom JavaScript logic.
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How can I connect my Harvest account to MySQL using Latenode?
To connect your Harvest account to MySQL on Latenode, follow these steps:
Can I back up Harvest time entries to MySQL daily?
Yes, you can! Latenode's visual editor makes it easy to automate daily backups, ensuring your time-tracking data is safely stored in MySQL. Benefit from increased data security and reporting.
What types of tasks can I perform by integrating Harvest with MySQL?
Integrating Harvest with MySQL allows you to perform various tasks, including:
How does Latenode handle Harvest API rate limits when writing to MySQL?
Latenode intelligently manages Harvest API rate limits by automatically queuing requests and retrying failed attempts, ensuring reliable data transfer to MySQL.
Are there any limitations to the Harvest and MySQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: