

90% cheaper with Latenode
AI agent that builds your workflows for you
Hundreds of apps to connect
Combine Harvest's time tracking with Google Cloud BigQuery for deeper insights. Latenode’s visual editor and affordable pricing make custom reporting workflows simple, while JavaScript support allows complex data transformations.
Connect Google Cloud BigQuery and Harvest in minutes with Latenode.
Create Google Cloud BigQuery to Harvest workflow
Start for free
Automate your workflow
Swap Apps
Google Cloud BigQuery
Harvest
No credit card needed
Without restriction
Create a New Scenario to Connect Google Cloud BigQuery and Harvest
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 Google Cloud BigQuery, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery or Harvest will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Harvest, and select the appropriate trigger to start the scenario.
Add the Google Cloud BigQuery Node
Select the Google Cloud BigQuery node from the app selection panel on the right.
Google Cloud BigQuery
Configure the Google Cloud BigQuery
Click on the Google Cloud BigQuery node to configure it. You can modify the Google Cloud BigQuery URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Harvest Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Harvest from the list of available apps, and choose the action you need from the list of nodes within Harvest.
Google Cloud BigQuery
⚙
Harvest
Authenticate Harvest
Now, click the Harvest node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Harvest settings. Authentication allows you to use Harvest through Latenode.
Configure the Google Cloud BigQuery and Harvest 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 Google Cloud BigQuery and Harvest Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
⚙
AI Anthropic Claude 3
⚙
Harvest
Trigger on Webhook
⚙
Google Cloud BigQuery
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Cloud BigQuery, Harvest, 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 Google Cloud BigQuery and Harvest integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Harvest (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Harvest + Google Sheets: When a new time entry is created in Harvest, the details are added to a Google Sheet for reporting and visualization. This allows for easy tracking and analysis of time spent on different projects.
Harvest + Slack: When a new time entry is created in Harvest, a notification is sent to a Slack channel to keep the team informed about the latest time logs.
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
Similar apps
Related categories
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.
Related categories
How can I connect my Google Cloud BigQuery account to Harvest using Latenode?
To connect your Google Cloud BigQuery account to Harvest on Latenode, follow these steps:
Can I automate reporting combining time tracking and project costs?
Yes, you can! Latenode allows you to visually build workflows that combine Harvest time data with Google Cloud BigQuery cost analytics for automated, insightful project reports.
What types of tasks can I perform by integrating Google Cloud BigQuery with Harvest?
Integrating Google Cloud BigQuery with Harvest allows you to perform various tasks, including:
HowsecureistheGoogleCloudBigQueryintegrationwithHarvestonLatenode?
Latenode uses secure authentication protocols and encryption to protect your data during the Google Cloud BigQuery and Harvest integration process.
Are there any limitations to the Google Cloud BigQuery and Harvest integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: