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Why import Harvest data to BigQuery
Create a personal backup
Connect Harvest to BigQuery to back up the information about your users, clients, invoices, and other records. Schedule the automatic data synchronization to have an up-to-date copy of your Harvest data. Use BigQuery as a data backup copy for records exported from Harvest and other sources.
Perform an in-depth analysis
Track the resources utilization and other metrics that you can calculate based on the data exported with the help of the Harvest to BigQuery integration. Query the datasets, build forecasts, and apply other analytical capabilities of BigQuery to your Harvest data. Visualize your data if necessary by connecting BigQuery to data visualization tools such as Data Studio or Tableau.
Consolidate data from multiple sources in a single repository
Use BigQuery as a transitionary repository for your data exported from Harvest and other apps and sources, such as Pipedrive, QuickBooks and Google Sheets. Consolidate records taken from multiple sources in one place for better accessibility and shareability. Distribute data from your BigQuery repository to apps and databases easily without back and forth download-upload actions.
What data you can import with the Harvest to BigQuery integration
Get the Harvest timesheet data, which contains information about the whole cycle of time entries from the date and time they were created to the approved status. Other details, such as attached notes, hours tracked, and invoices associated, are also available.
Retrieve details about estimates including the dates of their status change (created to closed), as well as other essential data associated with estimates: line items, purchase order, total amount, separate values for taxes and discounts, etc.
Get a list of invoice item categories, as well as information about invoices, and invoices with line items. Import the all-out invoices details, including the status change cycle, breakdown of amounts, and many more.
Load a list of expense categories, as well the details of Harvest expenses, such as date and time of creation-closure, current status, notes, and projects.
Use the Harvest to BigQuery integration to load and update information about both your users and clients. Retrieve client contacts separately from the data about clients, such as name, address, and currency.
Import a bunch of other data entities from Harvest including the information about tasks, roles, projects, and company settings with just a few clicks.
How to connect Harvest to BigQuery
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Step 1. Select Harvest as an app to take data from5 seconds
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Step 2. Connect the Harvest account and select the data type to retrieve30 seconds
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Step 3. Select BigQuery as a destination to save data to5 seconds
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Step 4. Connect your BigQuery project and select a dataset and table to import data to2 minutes
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Step 5. Customize a schedule for automatic data refresh20 seconds
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Step 6. Save and run your Harvest to BigQuery integration5 seconds
See what our customers say
"Coupler.io automatically imports the full dataset you need and it refreshes it completely on any schedule you want. No triggers necessary. And the best of all, the team is very supportive.
"The integrations are easy to set up and automate, my colleagues think I'm a genius, but it's really Coupler.io that is doing the heavy lifting.
Set up multiple integrations to count on every day
Looking to import data from Shopify, Clockify, Jira, or any other app? Not a problem. Use Coupler.io to link a data source to BigQuery to automate workflows and leverage the power of spreadsheets across all your projects!
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