Automate Harvest to BigQuery integration

Pull your Harvest data, including time entries, invoices, and other entities, to your dataset in BigQuery on demand or on a schedule, whichever option meets your needs.

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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

01. Time entries

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.

02. Information about estimates

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.

03. Invoices details

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.

04. Information about expenses

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.

05. Information about users and clients

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.

06. Company settings, project, tasks, and other data

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

  1. Step 1. Select Harvest as an app to take data from
    5 seconds
  2. Step 2. Connect the Harvest account and select the data type to retrieve
    30 seconds
  3. Step 3. Select BigQuery as a destination to save data to
    5 seconds
  4. Step 4. Connect your BigQuery project and select a dataset and table to import data to
    2 minutes
  5. Step 5. Customize a schedule for automatic data refresh
    20 seconds
  6. Step 6. Save and run your Harvest to BigQuery integration
    5 seconds

Why use Coupler.io for Harvest data replication to Google BigQuery

Coupler.io allows you to configure a setup, which will load the necessary data to the destination on a schedule. Get time entries, invoices, expenses, and other records you need to BigQuery, where you can manipulate them according to your purposes. Further on, you’ll be able to export pieces of data to spreadsheets or transfer them to other databases.


With the Harvest to BigQuery integration, you can load your data on demand or automatically on a frequency that suits your needs. You won’t have to waste time manually exporting data from Harvest and then importing it to BigQuery. The entire flow is configurable with a few clicks to optimize your efficiency and streamline your time.


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Set up multiple integrations to count on every day

Looking to import data from  PipedriveClockifyXero,  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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