Shopify Connector for Informatica

In this article you will learn how to integrate Shopify data in Informatica without coding in just a few clicks (live / bi-directional connection to Shopify). Shopify Connector can be used to integrate Shopify REST API in your App / BI Tools. You can read/write data about Customers, Orders, OrderItems, Products and more..

Using Shopify Connector you will be able to connect, read, and write data from within Informatica. Follow the steps below to see how we would accomplish that.

Download  Documentation 

NOTE: If you need to consume API which is not listed on connector library page then please refer to the below article links. It talks about how to read / write pretty much any API and not just Shopify API. It explains various API tips / tricks using our other Universal Drivers not mentioned in this article (i.e. ZappySys JSON / XML and CSV Drivers).
How to read API data in Informatica (Call JSON / XML SOAP Service)
How to write data to API (POST) in Informatica (Call JSON / XML SOAP Service)

Introduction

Informatica PowerCenter LogoJSON / REST API is becoming more and more popular each day as everyone embrace cloud-centric services. This article is primarily focused on Informatica users who want to access Shopify data or may be other API Integration in Informatica. However many tips and techniques described in this article will help you to understand how to integrate Shopify / XML SOAP / JSON / REST API in other ETL / Reporting apps such as Tableau, Power BI, SSRS, Talend, Excel and many more.

After going through this article you will learn how to Read Shopify / JSON / REST API data in Informatica and understand the concept of JSON / REST API. We will go through many screenshots and step-by-step examples to demonstrate  Shopify or REST API integration in Informatica PowerCenter.

XML / JSON can come from a local file or REST API service (internal or public) so we will include both examples in this article (i.e. Read JSON files in Informatica,  Import REST API in Informatica). So let’s get started. Next article will focus on how to write data to API in Informatica (POST / PUT data)

Requirements

This article assumes that you have full filled following basic requirements.

  1. Download Install ZappySys ODBC PowerPack (API Driver for Shopify included)
  2. Install Informatica PowerCenter Client Tools (e.g. Workflow and Mapping Designers)
  3. Access to a Relational database such as SQL Server (or use any of your choice e.g. Oracle, MySQL, DB2 ). If nothing available then you can use flat file target.

High level Steps for Import Shopify data using Informatica (Read Shopify API data)

Before we dive deep to learn how to load Shopify data in Informatica (i.e. Shopify to SQL Table), Here the summary of high-level steps you need to perform to import Shopify in Informatica (same steps for Import JSON / XML / REST API).

  1. Download and Install ZappySys API Driver (for connecting to Shopify)
  2. Create ODBC DSN using ZappySys API driver and choose Shopify Connector during Wizard
  3. Create Relational > ODBC Connection in Informatica Workflow designer (Point to DSN we created in the previous step)
  4. Import Shopify Source Definition in the Informatica Mapping Designer > Sources Tab
  5. Import Target Table Definition in the Informatica Mapping Designer > Targets Tab
  6. Create source to target mapping in Mappings tab
  7. Save mapping (name m_API_to_SQL_Load )
  8. Create Session using the mapping we created in the previous step
  9. Save Workflow and execute to load Shopify data into SQL Table. Verify your data and log.
    Loading JSON data to SQL Table in Informatica (Import Shopify / REST API / JSON Files)

    Loading Shopify data to SQL Table in Informatica (Import REST API or JSON Files)

Video Tutorial – Read any API / JSON data in Informatica (Load Shopify to SQL Table)

Below video is not about Shopify API but its showing API access in general (for any API). By watching following ~5 min video can learn steps listed in this article to load JSON API data into SQL Server Table using ZappySys JSON Driver. You can go though full article to learn many useful details not covered in this video.

Getting Started – Import Shopify to SQL Server in Informatica

Now let’s get started. For example purpose, we will read data from Shopify and load data into SQL Server Table using Informatica Workflow.

Create ODBC Data Source (DSN) based on ZappySys API Driver

To get data from Shopify using Informatica we first need to create a DSN (Data Source) which will access data from Shopify. We will later be able to read data using Informatica. Perform these steps:

  1. Install ZappySys ODBC PowerPack.

  2. Open ODBC Data Sources (x64):
    Open ODBC Data Source

  3. Create a User Data Source (User DSN) based on ZappySys API Driver

    ZappySys API Driver
    Create new User DSN for ZappySys API Driver
    You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.
  4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Shopify" from the list of Popular Connectors. If "Shopify" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

    ShopifyDSN
    Shopify
    ODBC DSN Template Selection

  5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    Steps to get Shopify Credentials : Access Token [Http]
    Setting up your Shopify store account for API access involves creating an "app" for your store. The "app" is installed into the Shopify account and configured with the appropriate access levels for your data integration needs.
    1. Visit https://accounts.shopify.com and log into your Shopify store account.
    2. After logging in, select the store to connect to with the ZappySys Shopify Connector.
    3. Select the Settings link (usually in the lower-left corner) to launch the Settings screen.
    4. On the left menu panel, select Apps and sales channels.
    5. On the Apps and sales channels screen, select Develop apps (near the top of the screen).
    6. On the App development screen, select Create an app (near the upper-right corner of the screen).
    7. Give the app that will be used to provide Shopify API access a name, select the appropriate developer from the App developer drop-down, and then select Create app.
    8. Select Configure Admin API scopes and the Admin API access scopes screen will appear.
    9. In the Admin API access scopes screen, select every access scope checkbox that applies to your integration needs. It is generally not a good idea to allow more access than what is needed in order to fulfill your integration needs.
      • To enable the reading of customer information, select read_customers.
      • To enable the writing of customer information, select write_customers.
      • To enable the reading of inventory item information, select read_inventory.
      • To enable the writing of inventory item information, select write_inventory.
      • To enable the reading of order information, select read_orders.
      • To enable the writing of order information, select write_orders.
      After selecting all applicable access scopes, select Save.
    10. Install the app by selecting the Install app button (near the upper-right corner of the screen). If any other prompts for installation appears, select Install.
    11. After the app is installed, the Admin API access token will be available in the API credentials tab of the page. It can only be revealed ONCE for security purposes. Select Reveal token once to show the new Admin API access token. SAVE THE ADMIN API ACCESS TOKEN IN A SAFE PLACE WHERE YOU HAVE IT CONFIDENTIAL, SECURE, AND NOT ACCESSIBLE TO UNAUTHORIZED INDIVIDUALS. The Admin API access token will be needed in this process later.
    12. In the ZappySys connector API screen, enter the subdomain of your Shopify store into the Subdomain parameter textbox. For example, if your Shopify URL is https://acmetoys.myshopify.com, the subdomain would be acmetoys.
    13. In the same screen, enter the Admin API access token saved from step 11 above into the Admin API Access Token textbox. In order to edit the text in this field, select the ellipses (...) button that appears when the textbox is clicked and edit the access token with the dialog box that appears.
    14. Select the Test Connection button at the bottom of the window to verify proper connectivity with the Shopify store.
    15. If the connection test succeeds, select OK.

    Fill in all required parameters and set optional parameters if needed:

    ShopifyDSN
    Shopify
    Access Token [Http]
    https://[$Subdomain$].myshopify.com/admin/api/2023-01
    Required Parameters
    Sub-domain Fill in the parameter...
    Admin API Access Token Fill in the parameter...
    Optional Parameters
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    RetryMultiplyWaitTime Fill in the parameter...
    ODBC DSN HTTP Connection Configuration

  6. Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
    ODBC ZappySys Data Source Preview

  7. Click OK to finish creating the data source.

Create Connection in Informatica Workflow Designer

Once you create DSN using API Driver our next step is to define a connection for Shopify source in Informatica PowerCenter Workflow designer.

  1. Open Workflow designer [W] icon
  2. Goto Connections > Relational
    Create new connection for JSON in Informatica

    Create a new connection for Shopify in Informatica

  3. Click New and select ODBC
    Select ODBC connection type in Informatica (Using ZappySys JSON ODBC DSN)

    Select ODBC connection type in Informatica (Using ZappySys API ODBC DSN)

  4. Now on the ODBC connection setup enter connection name, some fake userid / password (this is a required field but its ignored by JSON Driver)
  5. In the Connection String field enter the exact same name of DSN (Open ODBC Data Sources UI to confirm)
    Configure Shopify connection in Informatica for REST API – Using ZappySys API ODBC Driver

    Configure Shopify connection in Informatica for REST API – Using ZappySys API Driver

  6. Click OK to close the connection properties.

That’s it. Now we ready to move to next step (define source and target in Mapping Designer).

Import Shopify Source Definition in Informatica Mapping Designer

Now let’s look at steps to import Shopify table definition.

  1. Open Informatica Mapping Designer (Click [D] icon)
  2. Click on Source Icon to switch to Sources designer
  3. From the top menu > Click on Sources > Import from Database
    Import JSON Source definition in Informatica Mapping Designer (JSON file or REST API)

    Import Shopify Source definition in Informatica Mapping Designer (JSON file or REST API)

  4. Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)
  5. Click Connect button to get a list of tables. Any array node is listed as a table. Also, you will see array node with parent columns (e.g. value_with_parent). You may get some warning like below but they are harmless so just ignore by clicking OK.
    DLL name entry missing from C:\Informatica\PowerCenter8.6.1\client\bin\powrmart.ini Section = ODBCDLL Entry = ZappySys JSON Driver
    —————————————————-
    Using EXTODBC.DLL to support ZappySys JSON Driver. For native support of ZappySys JSON Driver make an entry in the .ini file.
    Select JSON Source Table in Informatica Mapping Designer (JSON file or REST API)

    Select Shopify Source Table in Informatica Mapping Designer (JSON file or REST API)

  6. Select Table you wish to get (You can filter rows by custom SQL query. We will see later in this article how to do)
  7. Optionally once table structure is imported you can rename it
    Rename imported table definition in Informatica Source Designer

    Rename imported table definition in Informatica Source Designer

  8. That’s it, we are now ready to perform similar steps to import Target table structure in the next section.

Import SQL Server Target Definition in Informatica Mapping Designer

Now let’s look at steps to import Target table definition (very similar to the previous section, the only difference is this time we will select DSN which points to SQL Server or any other Target Server).

Now lets look at steps to import target table definition in Informatica mapping designer.

  1. In the Mapping Designer, Click on Target Icon to switch to Target designer
  2. From the top menu > Click on Targets > Import from Database
  3. Select DSN for your Target server (if DSN doesn’t exist then create one by opening ODBC Sources just like we created one for JSON API source (see the previous section about creating DSN).
    Import target Table Definition in informatica

    Import target Table Definition in informatica

  4. Enter your userid , password and Schema name and click Connect to see tables
  5. Select Table name to and click OK import definition.
    Import Target SQL Table Definition in Informatica - Select table from the list

    Import Target SQL Table Definition in Informatica – Select table from the list

Create Source to Target Mapping in Informatica (Import JSON to SQL Server)

Once you have imported source and target table definition, we can create mapping and transformation to load data from JSON to SQL Table.

  1. First open Mapping Designer (Click [D] icon)
  2. Drag JSON Source from sources folder
  3. Drag SQL Table from Targets folder
  4. Map desired columns from Source to target
    Define Source to Target mapping for JSON to SQL Table load in Informatica

    Define Source to Target mapping for Shopify to SQL Table load in Informatica

  5. For certain columns you may have to do datatype conversion. For example to convert OrderDate form nstring to DataTime you have to use Expression Transform like below and map it to target. In below example, our JSON has date format (e.g. 2018-01-31 12:00:00 AM ). To import this to DateTime field in SQL server we need to convert it using TO_DATE function. Use double quotes around T to make this format working.
    TO_DATE(OrderDate,'YYYY-MM-DD H12:MI:SS AM')
    
     --For ISO use below way
                    TO_DATE(OrderDate,'YYYY-MM-DD"T"HH24:MI:SS')
    Informatica JSON to SQL Table Mapping - Datatype conversion (nstring to datetime)

    Informatica Shopify to SQL Table Mapping – Datatype conversion (nstring to datetime)

  6. Once you done with mapping save your mapping and name it (i.e. m_Api_To_SQL)
  7. Now lets move to next section to create workflow.

Create Workflow and Session in Informatica

Now the final step is to create a new workflow. Perform following steps to create workflow which with a session task to import JSON data into SQL table.

  1. Open workflow designer by click [W] icon.
  2. Launch new workflow creation wizard by click Workflow top menuWizard
    name your workflow (e.g. wf_Api_Tp_Sql_Table_Import)

    Creating Informatica Workflow - Wizard UI (Import JSON data to SQL Table)

    Creating Informatica Workflow – Wizard UI (Import Shopify data to SQL Table)

  3. Finish the wizard and double-click the Session to edit some default properties.
  4. First change Error settings so we fail session on error (By default its always green)
    Fail Informatica Session on error (JSON to SQL Load)

    Fail Informatica Session on error (Shopify data to SQL Load)

  5. Select JSON connection for Source
    Select JSON Source Connection in Informatica - JSON File / REST API Load to SQL Table

    Select Shopify Source Connection in Informatica – Load Shopify data to SQL Table

  6. Change default Source query if needed. You can pass parameters to this query to make it dynamic.
    Modify JSON Source SQL query - Pass parameters, change URL, set filter etc

    Modify Shopify Source SQL query – Pass parameters, change URL, set filter etc

  7. Select Target connection of SQL Target Table
    Select SQL Target Connection in Informatica - JSON File / REST API Load to SQL Table

    Select SQL Target Connection in Informatica – Load Shopify data to SQL Table

  8. Save workflow
  9. That’s it. We ready to run our first workflow to load JSON data to SQL.

Execute Workflow and Validate Log in Informatica

Now once you are done with your workflow, execute it to see the log.

Loading JSON data to SQL Table in Informatica (Import REST API or JSON Files)

Loading Shopify data to SQL Table in Informatica (Import REST API or JSON Files)

 

POST data to Shopify in Informatica

There will be a time when you like to send Source data to REST API or SOAP Web Service. You can use below Query for example. For detailed explanation on how to POST data in Informatica check this article.

Video Tutorial – How to POST data to REST API in Informatica

Here is detailed step by step video on REST API POST in informatica PowerCenter

 

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Create Custom Stored Procedure in ZappySys Driver

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

  1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
    ZappySys Driver - Add Stored Procedure

  2. Enter the desired Procedure name and click on OK:
    ZappySys Driver - Add Stored Procedure Name

  3. Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver:
    Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

    CREATE PROCEDURE [usp_get_orders]
        @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
     AS
        SELECT * FROM Orders where OrderDate >= '<@fromdate>';
    

    ZappySys Driver - Create Custom Stored Procedure

  4. That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:

    Exec usp_get_orders '1996-01-01';

    ZappySys Driver - Execute Custom Stored Procedure

  5. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
    As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.

    SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

    ZappySys Driver - Generate SQL Server Query

  6. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
    ZappySys Driver - Generate SQL Server Query

Create Custom Virtual Table in ZappySys Driver

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

  1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
    ZappySys Driver - Add Table

  2. Enter the desired Table name and click on OK:
    ZappySys Driver - Add Table Name

  3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

  4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
    Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here

    SELECT
      "ShipCountry",
      "OrderID",
      "CustomerID",
      "EmployeeID",
      "OrderDate",
      "RequiredDate",
      "ShippedDate",
      "ShipVia",
      "Freight",
      "ShipName",
      "ShipAddress",
      "ShipCity",
      "ShipRegion",
      "ShipPostalCode"
    FROM "Orders"
    Where "ShipCountry"='USA'

    ZappySys Driver - Create Custom Table

  5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:

    SELECT * FROM "vt__usa_orders_only"

    ZappySys Driver - Execute Custom Virtual Table Query

  6. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
    As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.

    SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC [usp_get_orders] ''1996-01-01''')

    ZappySys Driver - Generate SQL Server Query

  7. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
    ZappySys Driver - Generate SQL Server Query

Conclusion

In this article we discussed how to connect to Shopify in Informatica and integrate data without any coding. Click here to Download Shopify Connector for Informatica and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download Shopify Connector for Informatica Documentation 

Actions supported by Shopify Connector

Shopify Connector support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.
 Get Customers
Gets a list of customers.    [Read more...]
Parameter Description
Customer Id(s) - Comma separated Restrict results to records specified by a comma-separated list of IDs.
 Get Customer
Gets a specific customer.    [Read more...]
 Create a Customer
Creates a new customer.    [Read more...]
 Update a Customer
Updates an existing customer.    [Read more...]
 Delete a Customer
Deletes a specific customer.    [Read more...]
 Get Orders
Gets a list of orders by status, date and other search criteria. By default only Open orders returned. Change Status parameter to any to get all orders.    [Read more...]
Parameter Description
Order Id(s) - Comma separated Restrict results to records specified by a comma-separated list of IDs.
 Get Order
Gets a specific order.    [Read more...]
 Create an Order
Creates a new order.    [Read more...]
 Update an Order
Updates an existing order.    [Read more...]
 Delete an Order
Deletes a specific order.    [Read more...]
 Get Order Items
Gets a list of line items for all orders or the specified order(s).    [Read more...]
Parameter Description
Order Id(s) - Comma separated Restrict results to records specified by a comma-separated list of IDs.
 Get Products
Gets a list of products.    [Read more...]
Parameter Description
Product Id(s) - Comma separated Restrict results to records specified by a comma-separated list of IDs.
 Get Product
Gets a specific product.    [Read more...]
 Get Product Variants
Gets a list of products with their variants.    [Read more...]
Parameter Description
Product Id(s) - Comma separated Restrict results to records specified by a comma-separated list of IDs.
Since Product Id Restrict results created after the specified product ID.
Only Fields to Show Limit data retrieval to only the selected product-related fields.
Option Value
id id
title title
body_html body_html
vendor vendor
product_type product_type
created_at created_at
handle handle
updated_at updated_at
published_at published_at
template_suffix template_suffix
status status
published_scope published_scope
tags tags
admin_graphql_api_id admin_graphql_api_id
variants variants
options options
images images
image image
Created Before Restrict results to products created before a specified date. (format: 2014-04-25T16:15:47-04:00)
Created After Restrict results to products created after a specified date. (format: 2014-04-25T16:15:47-04:00)
Updated Before Restrict results to products last updated before a specified date. (format: 2014-04-25T16:15:47-04:00)
Updated After Restrict results to products last updated after a specified date. (format: 2014-04-25T16:15:47-04:00)
 Update a Product Variant
Updates an existing product variant.    [Read more...]
 Create a Product Variant
Creates a new product variant.    [Read more...]
Parameter Description
Product Id The ID of the product for which you like to create a new variant.
 Create a Product
Creates a new product.    [Read more...]
 Update a Product
Updates an existing product.    [Read more...]
 Delete a product
Deletes a specific product.    [Read more...]
 Delete a product variant
Deletes a specific product variant.    [Read more...]
 Get Payouts
Retrieves a list of all payouts ordered by payout date, with the most recent being first. Requires following permissions shopify_payments_payouts, shopify_payments for API Token.    [Read more...]
Parameter Description
Date (format: yyyy-MM-ddd) Filter the response to payouts made on the specified date.
Option Value
2023-12-31 2023-12-31
today today
yesterday yesterday
monthstart monthstart
monthend monthend
yearstart yearstart
yearend yearend
weekstart weekstart
weekend weekend
yearstart-1y yearstart-1y
yearend-1y yearend-1y
monthstart-1d monthstart-1d
monthend+1d monthend+1d
Date maximum (format: yyyy-MM-ddd) Filter the response to payouts made inclusively before the specified date.
Option Value
2023-12-31 2023-12-31
today today
yesterday yesterday
monthstart monthstart
monthend monthend
yearstart yearstart
yearend yearend
weekstart weekstart
weekend weekend
yearstart-1y yearstart-1y
yearend-1y yearend-1y
monthstart-1d monthstart-1d
monthend+1d monthend+1d
Date minimum(format: yyyy-MM-ddd) Filter the response to payouts made inclusively after the specified date.
Option Value
2023-12-31 2023-12-31
today today
yesterday yesterday
monthstart monthstart
monthend monthend
yearstart yearstart
yearend yearend
weekstart weekstart
weekend weekend
yearstart-1y yearstart-1y
yearend-1y yearend-1y
monthstart-1d monthstart-1d
monthend+1d monthend+1d
Payouts before this Id Filter the response to payouts made before the specified ID.
Payouts after this Id Filter the response to payouts made after the specified ID.
Status Filter the response to payouts made with the specified status.
Option Value
scheduled scheduled
in_transit in_transit
paid paid
failed failed
canceled canceled
 Get Locations
Gets a list of locations.    [Read more...]
 Get Location
Gets a specific location.    [Read more...]
Parameter Description
Location Id The ID of the location for which data should be read.
 Create a Location
Creates a new location.    [Read more...]
 Update a Location
Updates an existing location.    [Read more...]
 Delete a Location
Deletes a specific location.    [Read more...]
 Get Inventory Items
Gets a list of inventory items. Each Product Variant has Inventory Item Id .. Its one to one relationship with Product Variant and Inventory Item. Query get_product_variants to get InventoryItemId and use as Id in this endpoint.    [Read more...]
Parameter Description
Inventory Item Id(s) - Comma separated Restrict results to records specified by a comma-separated list of IDs.
 Get Inventory Levels
Gets inventory level for a specific location and inventory item.    [Read more...]
Parameter Description
inventory_item_ids Inventory Item Id(s) - Comma separated
location_ids Location Id(s) - Comma separated
Updated at or after Show inventory levels updated at or after date (format: 2019-03-19T01:21:44-04:00).
 Update Inventory Levels
   [Read more...]
Parameter Description
Action
Option Value
Adjusts the inventory level adjust
Connects an inventory item to a location connect
Sets the inventory level for an inventory item at a location set
 Insert Inventory Levels
   [Read more...]
Parameter Description
 Get Product
Gets a specific inventory item.    [Read more...]
Parameter Description
Inventory Item Id(s) - Comma separated Restrict results to records specified by a comma-separated list of IDs.
 Update Inventory Item
   [Read more...]
Parameter Description
Inventory Item Id
 Generic Request
This is generic endpoint. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL.    [Read more...]
Parameter Description
Url API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains
Body Request Body content goes here
IsMultiPart Check this option if you want to upload file(s) (i.e. POST RAW file data) or send data using Multi-Part encoding method (i.e. Content-Type: multipart/form-data). Multi-Part request allows you to mix key/value and upload files in same request. On the other hand raw upload allows only single file upload (without any key/value) ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload single file in raw mode check this option and specify full file path starting with @ sign in the Body (e.g. @c:\data\myfile.zip ) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your Request data as multi part fields you must specify key/value pairs separated by new lines into RequestData field (i.e. Body). Each key value pair is entered on new-line and key/value are separated using equal sign (=). Preceding and trailing spaces are ignored also blank lines are ignored. If field value has some any special character(s) then use escape sequence (e.g. For NewLine: \r\n, For Tab: \t, For at (@): \@). When value of any field starts with at sign (@) its automatically treated as File you want to upload. By default file content type is determined based on extension however you can supply content type manually for any field using this way [ YourFileFieldName.Content-Type=some-content-type ]. By default File Upload Field always includes Content-Type in the request (non file fields do not have content-type by default unless you supply manually). For some reason if you dont want to use Content-Type header in your request then supply blank Content-Type to exclude this header altogather [e.g. SomeFieldName.Content-Type= ]. In below example we have supplied Content-Type for file2 and SomeField1, all other fields are using default content-type. See below Example of uploading multiple files along with additional fields. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data then manually set Request Header => Content-Type: multipart/mixed (it must starts with multipart/ else will be ignored). file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle
Filter Enter filter to extract array from response. Example: $.rows[*] --OR-- $.customers[*].orders[*]. Check your response document and find out hierarchy you like to extract
Headers Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair

Shopify Connector Examples for Informatica Connection

This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.

Get list of products    [Read more...]

SELECT * FROM Products

Get a specific product by its ID    [Read more...]

SELECT * FROM Products WITH Id=1111111111111

Get multiple specific products by their IDs    [Read more...]

SELECT * FROM Products WITH(ids='1111111111111,2222222222222,3333333333333')

Create a new product    [Read more...]

This example shows how to insert a new Shopify product. It also sets Variants

INSERT INTO Products 
(
	 Title
	,Status
	,BodyHtml
	,UrlHandle
	,Vendor
	,ProductType
	,Variants
	,Options
	,Tags
	,Metafields
	,Images	
	)
VALUES	
('Ice Cream'
,'draft'
,'<strong>Very yummy ice cream!</strong>'
,'ice-cream' 
,'Burton'
,'Snowboard' 

,'[
	{"price":10.5, "option1":"Chocolate","option2":"Small","sku":"ICE-CHO-SML","inventory_quantity":100},
	{"price":10.5, "option1":"Chocolate","option2":"Medium","sku":"ICE-CHO-MED","inventory_quantity":100},
	{"price":11.5, "option1":"Vanilla","option2":"Small","sku":"ICE-VNL-MED","inventory_quantity":210}
  ]'

--you must set variants and use atlease one value from the below list in option1, option2 or option3 in any variant entry else it will fail.  
,'[
	{"name":"Color","values":["Chocolate","Vanilla"]}, 
	{"name":"Size","values":["Small","Medium"]}
  ]' 

,'["Frozen","Seasonal","Dad''s Fav"]'

--adding metadata (custom fields) - metadata fields must be created before setting it 
--below are 2 system fields for SEO Title / SEO Description (you dont need to create them unlike custom metadata). These values appears on SEO section
,'[
	{"key":"title_tag","value":"Yum Ice Cream SEO Title", "namespace":"global","type":"single_line_text_field"}, 
	{"key":"description_tag","value":"Yum Ice Cream SEO description", "namespace":"global","type":"single_line_text_field"} 
  ]'

--first image becomes main image if you supply multiple images 
--upload multiple images from URL (set "src")
 , '[	
	{"src":"https://zappysys.com/images/tech/google-analytics-logo.png"},
	{"src":"https://zappysys.com/images/tech/web-api-logo.png"}
  ]'
--OR upload multiple local image files (set "attachment")
--, '[	
--	 {"attachment":"<<c:\temp\icecream_1.png,FUN_FILE_BASE64ENC>>"},
--	 {"attachment":"<<c:\temp\icecream_2.png,FUN_FILE_BASE64ENC>>"}
--  ]'  
  
)

Update an existing product    [Read more...]

This example shows how to update an existing product. Update product title, description (body html), images, variants and more

UPDATE Products
SET Title='Ice Cream - Updated'
 , Status='draft' --active, archived, draft  
 , BodyHtml='<strong>Very yummy ice cream - updated!</strong>'  
--first image becomes main image if you supply multiple images 
--upload multiple images from URL (set "src")
 , Images='[	
	{"src":"https://zappysys.com/images/tech/google-analytics-logo.png"},
	{"src":"https://zappysys.com/images/tech/web-api-logo.png"}
  ]'
--OR upload multiple local image files (set "attachment")
--, Images='[	
--	 {"attachment":"<<c:\temp\icecream_1.png,FUN_FILE_BASE64ENC>>"},
--	 {"attachment":"<<c:\temp\icecream_2.png,FUN_FILE_BASE64ENC>>"}
--  ]'

 , Variants='[
	{"price":20.5, "option1":"Chocolate","option2":"Small","sku":"ICE-CHO-SML","inventory_quantity":300},
	{"price":21.5, "option1":"Vanilla","option2":"Small","sku":"ICE-VNL-MED","inventory_quantity":110}
  ]'
, PublishedScope='global' --or web
, Vendor ='IceGlobal'
, ProductType ='Cold Food'
, Tags ='["Frozen","Seasonal","Dad''s Fav"]'
--Update SEO URL
 ,UrlHandle='ice-cream-51' 
--Update SEO title / description
, SEOTitle='Yum Ice Cream SEO Title-update'  
, SEODescription='Yum Ice Cream SEO description-update'  
Where Id=7348335771748

Delete an existing product    [Read more...]

This example shows how to delete an existing product.

DELETE FROM Products
Where Id=7348335771748

Get list of all product variants    [Read more...]

SELECT * FROM ProductVariants

Get all product variants by a specific product ID    [Read more...]

SELECT * FROM ProductVariants Where ProductId='1111111111111'

Get all product variants by multiple specific product IDs    [Read more...]

SELECT * FROM ProductVariants WITH(ids='1111111111111,2222222222222,3333333333333')

Create a new product variant    [Read more...]

This example shows how to create a new product variant.

INSERT INTO ProductVariants (ProductId, Option1, Option2,SKU,Price,CompareAtPrice,Position,Weight,WeightUnit,ImageId)
Values(7348335771748, 'Chocolate', 'Medium', 'ICE-CHO-MED', 195.5, 200.5, 3, 20.5, 'lb', 31900013854820)

Update product variant price, image, weight    [Read more...]

This example shows how to update product variant price, image, weight and other attributes.

Update ProductVariants 
SET  
	,Option1='Chocolate' 
	,Option2='Large'
	,SKU='ICE-CHO-SML'
	,Price=90.45
	,CompareAtPrice=100.45
	,Position=2
	,Weight=10.5
	,WeightUnit='lb'
	,ImageId=31900013854820  --use available images from Products table
Where Id=42564507992164

Delete an existing product variant    [Read more...]

This example shows how to delete an existing product variant by Variant Id.

DELETE FROM ProductVariants 
WHERE Id=31900013854820

Get list of customers    [Read more...]

SELECT * FROM Customers

Get a specific customer by its ID    [Read more...]

SELECT * FROM Customers Where Id=12345

Get multiple specific customers by their IDs    [Read more...]

SELECT * FROM Customers
WITH (ids='1111111111111,2222222222222,3333333333333')

Insert a new customer record    [Read more...]

INSERT INTO Customers
(FirstName, LastName, Email, Phone, Password, PasswordConfirmation, SendWelcomeEmail, MultipassIdentifier, Note, Tags, TaxExempt, TaxExemptions, DefaultAddressFirstName, DefaultAddressLastName, DefaultAddressCompany, DefaultAddressLine1, DefaultAddressLine2, DefaultAddressCity, DefaultAddressProvince, DefaultAddressCountry, DefaultAddressZip, DefaultAddressPhone, DefaultAddressName, DefaultAddressProvinceCode, DefaultAddressCountryCode, DefaultAddressCountryName)
VALUES
('John', 'Doe', 'john.doe@gmail.com', '7705553543', 'myNewP@ssword123', 'myNewP@ssword123', 1, null, 'This is a note on the customer account.', null, 0, null, 'John', 'Doe', 'John Doe Corp.', '123 Main Street', null, 'Atlanta', 'Georgia', 'United States', '30135', '7705553543', 'John Doe', 'GA', 'US', 'United States')

Insert a new customer record using RAW JSON Body (special column _rawdoc_)    [Read more...]

Sometimes you have need to INSERT or UPDATE certain arrtibutes for which input columns not defined. In this case you can supply entire BODY JSON as input using special column name _rawdoc_

INSERT INTO Customers(_rawdoc_)
VALUES('{"customer":{"first_name":"John","last_name":"Doe","email":"a.doe@gmail.com","phone":"7705553111"}}')

Insert customers in BULK (read from external MS SQL database)    [Read more...]

In this example we are reading customer Name, Email, Phone from external source system (Microsoft SQL Server) and sending it to Shopify. Your column name must match with Input columns of the table. See other BULK examples to learn more about reading from other systems using ODBC or OLEDB connection.

INSERT INTO Customers(FirstName, LastName, Email, Phone)
SOURCE('MSSQL'
  ,'Data Source=localhost;Initial Catalog=tempdb;Integrated Security=true'
  ,'select ''John'' as FirstName, ''Doe'' as LastName, ''a.doe@gmail.com'' as Email, ''7705553111'' as Phone'
)

Insert customers in BULK using RAW JSON Body (read from external MS SQL database)    [Read more...]

In this example we are reading customer Name, Email, Phone from external source system (Microsoft SQL Server) and sending it to Shopify. Your column name must match with Input columns of the table. See other BULK examples to learn more about reading from other systems using ODBC or OLEDB connection.

INSERT INTO Customers
SOURCE('MSSQL'
	,'Data Source=localhost;Initial Catalog=tempdb;Integrated Security=true'
	,'select ''{"customer":{"first_name":"Cust1","last_name":"Doe1","email":"a.doe@gmail.com","phone":"7705553111"}}'' as _rawdoc_
	 UNION 
	 select ''{"customer":{"first_name":"Cust2","last_name":"Doe2","email":"b.doe@gmail.com","phone":"7705553222"}}'' as _rawdoc_
	 '
	)

Update an existing customer record    [Read more...]

UPDATE Customers SET
  Email = 'john.doe2@gmail.com',
  Phone = '7705553445',
  Note= 'This is a new note that needed to be added later.'
  WHERE Id=1111111111111

Update an existing customer record using RAW JSON Body (special column _rawdoc_)    [Read more...]

Sometimes you have need to INSERT or UPDATE certain arrtibutes for which input columns not defined. In this case you can supply entire BODY JSON as input using special column name _rawdoc_

UPDATE Customers
SET _rawdoc_='{"customer":{"first_name":"John_new","last_name":"Doe_new","email":"a_new.doe@gmail.com","phone":"7705553111"}}'
WHERE Id=1111111111111

Update an existing customer record    [Read more...]

UPDATE Orders SET
  FulfillmentStatus = 'john.doe5@gmail.com',
  Phone = '7705553111',
  Note= 'This is a new note that needed to be added to the order later.'
WHERE Id=1111111111111

Update customers in BULK (read from external MS SQL database)    [Read more...]

In this example we are reading customer Ids, Email, Notes from external source system (Microsoft SQL Server) and sending it to Shopify. Your column name must match with Input columns of the table you trying to update. See other BULK examples to learn more about reading from other systems using ODBC or OLEDB connection.

UPDATE Customers
SOURCE('MSSQL'
 ,'Data Source=localhost;Initial Catalog=tempdb;Integrated Security=true'
 ,'select 111 as Id, ''a@a.com''Email , ''SOLD'' as Note,0 as [$$ContineOn404Error]
  UNION
  select 222 as Id, ''b@b.com''Email , ''SOLD'' as Note,0 as [$$ContineOn404Error]
  '
)

Delete a customer record    [Read more...]

DELETE Customers WHERE Id=1111111111111

Delete a customer record (throw error if not found)    [Read more...]

DELETE Customers WHERE Id=1111111111111 (ContineOn404Error=0)

Delete customers in BULK (read Id from external MS SQL database)    [Read more...]

In this example we are reading customer Ids from external source system (Microsoft SQL Server) and sending it to Shopify. See other BULK examples to learn more about reading from other systems using ODBC or OLEDB connection.

DELETE FROM Customers
SOURCE('MSSQL'
  ,'Data Source=localhost;Initial Catalog=tempdb;Integrated Security=true'
  ,'select 111 as Id,1 as [$$ContineOn404Error]
    UNION
    select 222 as Id,1 as [$$ContineOn404Error]
   '
)

Get all orders    [Read more...]

SELECT * FROM Orders

Get open orders    [Read more...]

SELECT * FROM Orders WITH (Status='open') --also try 'any', 'open', 'closed', 'cancelled'

Get a specific order by its ID    [Read more...]

SELECT * FROM Orders Where Id=1111111111111

Get multiple specific orders by their IDs    [Read more...]

SELECT * FROM Orders WITH(ids='1111111111111,2222222222222,3333333333333')

Delete an order record    [Read more...]

DELETE Orders WHERE Id=1111111111111

Delete an order record (throw error if not found)    [Read more...]

DELETE Orders WHERE Id=1111111111111 (ContineOn404Error=0)

Get line items for all orders    [Read more...]

SELECT * FROM OrderItems

Get line items for a specific order by the order ID    [Read more...]

SELECT * FROM OrderItems Where OrderId=1111111111111

Get line items for multiple specific orders by their order IDs    [Read more...]

SELECT * FROM OrderItems WITH(ids='1111111111111,2222222222222,3333333333333')

Insert a new order record    [Read more...]

INSERT INTO Orders (BillingAddressLine1, BillingAddressLine2, BillingAddressCity, BillingAddressCompany, BillingAddressCountry, BillingAddressFirstName, BillingAddressLastName, BillingAddressPhone, BillingAddressProvince, BillingAddressZip, BillingAddressName, BillingAddressProvinceCode, BillingAddressCountryCode, BuyerAcceptsMarketing, LineItems, CustomerId, Email, EstimatedTaxes, FinancialStatus, FulfillmentStatus, Name, Note, Phone, Currency, PresentmentCurrency, ProcessedAt, ReferringSite, ShippingAddressLine1, ShippingAddressLine2, ShippingAddressCity, ShippingAddressCompany, ShippingAddressCountry, ShippingAddressFirstName, ShippingAddressLastName, ShippingAddressPhone, ShippingAddressProvince, ShippingAddressZip, ShippingAddressName, ShippingAddressProvinceCode, ShippingAddressCountryCode, Tags, TaxesIncluded, TotalWeight, SendReceipt, SendFulfillmentReceipt)
VALUES
('123 Main Street', 'Suite #54', 'Memphis', 'Acme, Inc.', 'United States', 'John', 'Doe', '4045559876', 'Tennessee', '38101', 'John Doe', 'GA', 'US', 1, '[{"title":"Super Strong Glue","price":24.99,"grams":"100","quantity":1,"tax_lines":[{"price":13.5,"rate":0.06,"title":"State tax"}]}]', 5945175474276, 'johndoe2@gmail.com', 1, 'pending', null, '#40294', 'This order needs to be expedited, so register it in the system as so.', '4045559876', 'USD', 'USD', '2023-02-27T11:00:00', 'https://referringsite.com', '123 Main Street', 'Suite #54', 'Memphis', 'Acme, Inc.', 'United States', 'John', 'Doe', '4045559876', 'Tennessee', '38101', 'John Doe', 'GA', 'US', NULL, 1, 20, 1, 1)

Get inventory levels for all locations    [Read more...]

Query inventory levels for all locations. If you get URL Too long error then manually supply location ids in the query (see other example)

select * from InventoryLevels 
		--WITH(location_ids='43512280416356, 44648752676964, ..... upto 300 to 500 more - until you hit URL limit error')

Get inventory level for multiple item inventory id(s)    [Read more...]

If you get URL Too long error then reduce inventory_item ids in the query (approx 300-400 ids per call allowed)

select * from InventoryLevels WITH (inventory_item_ids='43512280416356, 44648752676964')

Get inventory level for specific location id(s) (i.e. Physcical Store / POS )    [Read more...]

If you get URL Too long error then reduce location ids in the query (approx 300-400 ids per call allowed)

select * from InventoryLevels WITH (location_ids='43512280416356, 44648752676964')

Get inventory level for specific inventory / location id(s)    [Read more...]

select * from InventoryLevels WITH (inventory_item_ids='43512280416356, 44648752676964' , location_ids='111100034, 111100055')

Adjust inventory level for a specific inventory / location id(s)    [Read more...]

Adjusts the inventory level of an inventory item at a single location

UPDATE InventoryLevels 
SET AvailableAdjustment=488, 
    LocationId=25801916516
WHERE InventoryItemId=43512276942948
WITH(
 Action='Adjust' --or set or connect
, ContineOn404Error=0 
)

Set / insert inventory with a specific inventory item and location id    [Read more...]

Sets the inventory level for an inventory item at a location. If the specified location is not connected, it will be automatically connected first. When connecting inventory items to locations

UPDATE InventoryLevels 
SET LocationId=25801916516
  ,Available=488 
WHERE InventoryItemId=43512276942948
WITH(
 Action='set' --or adjust or connect
, ContineOn404Error=0 
)

--OR--
/*
INSERT INTO InventoryLevels (InventoryItemId,LocationId,Available)
VALUES(43512276942948, 25801916516, 488)
--WITH( ContineOn404Error=0 )
*/

Connects an inventory item to a location    [Read more...]

Connects an inventory item to a location by creating an inventory level at that location.

UPDATE InventoryLevels 
SET LocationId=25801916516
WHERE InventoryItemId=43512276942948
WITH(
 Action='connect' --or adjust or set
, ContineOn404Error=0 
)

Set inventory with a specific inventory item and location id - generic API    [Read more...]

If you get URL Too long error then reduce location ids in the query (approx 300-400 ids per call allowed)

SELECT * FROM generic_request 
WITH (
    URL='/inventory_levels/set.json'
  --OR Use full URL
  --URL='https://MY-STORE-HERE.myshopify.com/admin/api/2023-01/inventory_levels/set.json'
  	
  , RequestMethod='POST'
  , Body='{"location_id":25801916516,"inventory_item_id":43512280416356,"available":42}' --needed if you call PUT, POST
  , Filter='$.inventory_level' --change table name here
  , Headers='Content-Type: application/json'
  , Meta='inventory_item_id:long; location_id:long; available:int; updated_at: datetime'
)

Get inventory item by id    [Read more...]

You can find Inventory Item Id in ProductVariants table. ProductVariant has One-to-One mapping with InventoryItems table

select * from InventoryItems Where Id=43512280416356

Get inventory item by id    [Read more...]

You can find Inventory Item Id in ProductVariants table. ProductVariant has One-to-One mapping with InventoryItems table

select * from InventoryItems Where Id=43512280416356

Get inventory items by multiple Ids    [Read more...]

Query multiple InventoryItems by Ids (Comma separated list). You can find Inventory Item Id in ProductVariants table. ProductVariant has One-to-One mapping with InventoryItems table

select * from InventoryItems WITH(Ids='43512280416356, 43512280449124')

Update an existing inventory item cost and other attributes    [Read more...]

UPDATE InventoryItems
SET Cost='25.55'
WHERE Id=43512280416356

Generic Query using Shopify admin GraphQL API    [Read more...]

This example shows how to invoke GraphQL query for very generic data read/write. For more information on GraphQL API visit this link https://shopify.dev/docs/api/admin/getting-started

SELECT * FROM generic_request 
WITH (
    URL='/graphql.json'
  --OR Use full URL
  --URL='https://MY-STORE-HERE.myshopify.com/admin/api/2023-10/graphql.json'
  
  , RequestMethod='POST'
  , Filter='$.data.products.nodes' --change table name here e.g. products
  , Headers='Content-Type: application/json'
  --change table name and columns below here e.g. products... and id, title etc
  -- change pagesize if needed (i.e. max 250)
  , Body='{
 "query" : "<<{
 
 products(first: 250 [$tag$])
 {
    nodes {
      id
      title
      createdAt
    }
    
    pageInfo {
      hasNextPage
      endCursor
    }
    
  }
  
},FUN_JSONENC>>"
}'
	, NextUrlAttributeOrExpr='$.data.products.pageInfo.endCursor' --change table name 
	, NextUrlEndIndicator='false'
	, StopIndicatorAttributeOrExpr='$.data.products.pageInfo.hasNextPage' --change table name 
	, UseConnection='True'
	, EnablePageTokenForBody='True'
	, HasDifferentNextPageInfo='True'
	, NextPageBodyPart='after: \"[$pagetoken$]\"'
	--Use metadata to speed up execution. To get Metadata Run query without Meta clause. 
	-- Then click View Metadata button found in Botttom Result Grid Toolbar. Get Compact format and paste below
	--, Meta='id:String(255); title:String(255); createdAt:DateTime; '
)

Generic Query using Shopify admin REST API    [Read more...]

This example shows how to invoke pretty much any REST API for generic data read/write. For more information on REST API visit this link https://shopify.dev/docs/api/admin/getting-started

SELECT * FROM generic_request 
WITH (
    URL='/products.json'
  --OR Use full URL
  --URL='https://MY-STORE-HERE.myshopify.com/admin/api/2023-01/products.json'
  	
  , RequestMethod='GET'
  , Body='{}' --needed if you call PUT, POST
  , Filter='$.products[*]' --change table name here
  , Headers='Content-Type: application/json'
  , PagingMode='ByResponseHeaderRfc5988'
  
  
  --Use metadata to speed up execution. To get Metadata Run query without Meta clause. 
  --Then click View Metadata button found in Botttom Result Grid Toolbar. Get Compact format and paste below
  , Meta='id:String(255); title:String(255); created_at:DateTime; '
)

Other App Integration scenarios for Shopify

Other Connectors for Informatica


Download Shopify Connector for Informatica Documentation 

  • How to connect Shopify in Informatica?

  • How to get Shopify data in Informatica?

  • How to read Shopify data in Informatica?

  • How to load Shopify data in Informatica?

  • How to import Shopify data in Informatica?

  • How to pull Shopify data in Informatica?

  • How to push data to Shopify in Informatica?

  • How to write data to Shopify in Informatica?

  • How to POST data to Shopify in Informatica?

  • Call Shopify API in Informatica

  • Consume Shopify API in Informatica

  • Shopify Informatica Automate

  • Shopify Informatica Integration

  • Integration Shopify in Informatica

  • Consume real-time Shopify data in Informatica

  • Consume real-time Shopify API data in Informatica

  • Shopify ODBC Driver | ODBC Driver for Shopify | ODBC Shopify Driver | SSIS Shopify Source | SSIS Shopify Destination

  • Connect Shopify in Informatica

  • Load Shopify in Informatica

  • Load Shopify data in Informatica

  • Read Shopify data in Informatica

  • Shopify API Call in Informatica