Bold BI dashboard designer supports connecting Harvest web services through REST API.
To configure the Harvest data source, follow the below steps:
Click the Data Sources button in the configuration panel to add a new data connection.
Click CREATE NEW to launch a new connection from the connection panel.
Select the Harvest connection in the connection panel.
NOTE: You can also create a data source from the home page by clicking the Data Sources menu from left menu panel and Create Data Source from the data sources page.
Once you click the data source, the NEW DATA SOURCE configuration panel opens. Follow the below steps to create Harvest data source.
Enter a name and description (optional) for the data source.
Enter a valid Harvest REST API endpoint in the URL textbox. Refer the Harvest API documentation for more details.
Example: https://<:your_sub_domain>.harvestapp.com/projects.json
Select GET method for the REST API in Method combo box.
In Max Rows, enter the maximum number of rows to be fetched from the harvest data source. This value is used to fetch the data from harvest data source via pagination.
Replace your Access Token and Account Id in the headers
Choose a time interval for Refresh Settings using the combo box, to trigger the Rest API request periodically to keep the data in sync with our dashboard.
Select JSON data type in Data Format combo box.
Choose one of the Authentication Type from the dropdown.
To connect based on the chosen Authentication, refer Supported Authentication Types based on version APIs.
You can also edit the connection information set here using the Edit Connection option.
Authenticate your Harvest account like below for v1 APIs:
Authenticate your Harvest account in one of the below ways:
Use Headers for authenticating your account of v2 APIs as like below:
Set your Personal Access Token as value for Authorization
in Header.
Set your Account ID for Harvest-Account-ID
in Header.
Set value for User-Agent
in Header. Refer Examples for User-Agent Values.
Set Authentication type as None.
Use Headers for authenticating your account for v2 APIs as like below:
access token
and account ID
in the query string as like below.User-Agent
in Header. Refer Examples for User-Agent Values.Examples: https://api.harvestapp.com/v2/users/me?access_token=<:access_token>&account_id=<:account_id>
Set Authentication type as None.
Harvest requires to include User-Agent
header in each request with below as values:
Examples:
- User-Agent : JohnSmith
(john@abc.com)
- User-Agent : DemoApp
(demo@abc.com)
Login to Harvest account.
Go to Settings. Copy the web address and replace it in URL instead of <:your_sub_domain>.harvestapp.com or fetch the domain name from the website URL.
Login to Harvest Developer page and create Personal Access Token.
Once Personal Access Token was created, you could see Access Token, Account ID and Account name.
Refresh Settings | Period of time before next refresh call is triggered. This will automatically trigger a call for the API configured in the data source to keep the data up to date. If you do not want to sync your new data, choose ‘Never’. |
For instance, to get the expense_category details, query the /expense_categories endpoint.
From the listed information, get the ID of the specific expense_category.
https://<:sub_domain_name>.harvestapp.com/v2/expense_categories/<:expense_category_id>
For more information on the API endpoints available for this data source, refer to their official API Documentation
List of messages for an invoice
https://demo.harvestapp.com/v2/invoices/13150403/messages
List of Roles
https://demo.harvestapp.com/v2/roles
List of Tasks
https://demo.harvestapp.com/v2/tasks
Click Preview & Connect to connect with the configurations set.
The Choose Schema(s) dialog opens. The schema represents the key fields of JSON data retrieved from Harvest Rest API request. This dialog displays a list of schemas in treeview and its corresponding values in grid for preview. Select required schema(s) from treeview to use in designer and click Connect.
Now, the data design view page with selected table schema opens. Drag and drop the table.
Click Save to save the data source with a relevant name.
We have added support for custom attributes and dashboard parameters to the data source connection. You can connect to the data source using custom attributes or dashboard parameters.
Custom Attribute
Dashboard Parameter
Note: Refer the Dashboard Parameter Documentation and Custom Attributes Documentation for more details.