ProductsPrices
Get details of Products Prices.
Select
The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.
- Id supports the '=' operator.
- Code supports the 'LIKE' operator.
- Name supports the 'LIKE' operator.
- FirstChar supports the '=' operator.
- FilterId supports the '=' operator.
- UserId supports the '=' operator.
- GetSummary supports the '=' operator.
- Ids supports the '=,IN' operators.
For example, the following query is processed server side:
SELECT * FROM ProductsPrices WHERE Id = 14 SELECT * FROM ProductsPrices WHERE Name LIKE '%Cdata%' SELECT * FROM ProductsPrices WHERE code LIKE '%123%' SELECT * FROM ProductsPrices WHERE FirstChar = 'c' SELECT * FROM ProductsPrices WHERE FilterId = 1 SELECT * FROM ProductsPrices WHERE UserId = 1 SELECT * FROM ProductsPrices WHERE GetSummary = 1 SELECT * FROM ProductsPrices WHERE Ids IN (1, 2)
Columns
Name | Type | Description |
Id [KEY] | Integer | Id. |
Cost | Integer | Cost. |
Currency | String | Currency. |
OverheadCost | String | OverheadCost. |
Price | Integer | Price. |
ProductId | Integer | ProductId. |
Pseudo-Columns
Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.
Name | Type | Description |
FirstChar | String | If supplied only Products whose name starts with the specified letter will be returned. |
UserId | Integer | User Id. |
FilterId | Integer | Filter Id. |
GetSummary | Boolean | Get Summary. |
Ids | Integer | The Ids of the Products that should be returned in the response. |