Documentation Experience Platform Source Connectors Guide

[Beta]{class="badge informative"}

Create a streaming source connection and dataflow for Shopify data using the Flow Service API

Last update: June 2, 2026

Topics:
Sources

CREATED FOR:

Developer

NOTE

The Shopify Streaming source is in beta. Please read the sources overview for more information on using beta-labeled sources.

Read this guide to learn how to stream data from the Shopify Streaming source to Adobe Experience Platform using the Flow Service API.

Getting started getting-started

This guide requires a working understanding of the following components of Experience Platform:

Sources: Use Sources in Experience Platform to easily bring in data from a variety of systems, and organize and enrich it with tools that help meet your business needs.
Sandboxes: Sandboxes let you safely experiment, develop, and test digital experience solutions by providing separate, isolated environments within your Experience Platform instance.

Using Experience Platform APIs

For information on how to successfully make calls to Experience Platform APIs, see the guide on getting started with Experience Platform APIs.

Gather required credentials

Read the Shopify Streaming overview for information on how to use HMAC keys and authenticate your account.

Stream Shopify data to Experience Platform using the Flow Service API

The following outlines the steps you need to make in order to create a source connection and a dataflow to stream your Shopify data to Experience Platform.

Create a base connection base-connection

To create a base connection ID, make a POST request to the /connections endpoint while providing your Shopify Streaming authentication credentials as part of the request parameters.

API format

POST /connections

Request

The following request creates a base connection for Shopify Streaming using HMAC secret keys.

curl -X POST \
  'https://platform.adobe.io/data/foundation/flowservice/connections' \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -H 'Content-Type: application/json' \
  -d '{
    "name": "Shopify Streaming Base Connection",
    "description": "Shopify Streaming Base Conn",
    "auth": {
      "specName": "HMACAuth",
      "params": {
        "primarySecretKey": "shopify_hmac_secret_current_2026_05"
      }
    },
    "connectionSpec": {
      "id": "e1d4cd44-ccad-11ed-afa1-0242ac120002",
      "version": "1.0"
    }
  }'

Parameter

Description

primarySecretKey

The current active Shopify webhook shared secret. If you are rotating your Shopify web hook secret, then you must include the secondarySecretKey as well. For more information on HMAC keys, read the Shopify Streaming authentication guide.

Response

A successful response returns the newly created connection, including its unique connection identifier (id). Use this ID to create a source connection in the next step.

{
 "id": "302f44a9-e3fd-4386-bb62-213c648cd023",
 "etag": "\"8d004e1e-0000-0200-0000-6a00cf720000\""
}

Create a source connection source-connection

To create a source connection, make a POST request to the Flow Service API. Be sure to provide the connection spec ID of your source, along with details such as the name, description, and data format.

API format

POST /sourceConnections

Request

The following request creates a source connection for Shopify Streaming:

curl -X POST \
  'https://platform.adobe.io/data/foundation/flowservice/sourceConnections' \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -H 'Content-Type: application/json' \
  -d '{
    "name": "Shopify Streaming Source Connection",
    "description": "Shopify Streaming Source Connection",
    "providerId": "521eee4d-8cbe-4906-bb48-fb6bd4450033",
    "baseConnectionId": "302f44a9-e3fd-4386-bb62-213c648cd023",
    "connectionSpec": {
      "id": "e1d4cd44-ccad-11ed-afa1-0242ac120002",
      "version": "1.0"
    },
    "data": {
      "format": "json"
    }
  }'

Property

Description

name

The name of your source connection. Ensure that the name of your source connection is descriptive, as you can use this to look up information on your source connection.

description

An optional value that you can include to provide more information on your source connection.

connectionSpec.id

The connection specification ID that corresponds to your source.

baseConnectionId

The connection ID that was generated in an earlier step when creating an account and authenticating with HMAC keys.

data.format

The format of the Shopify data that you want to ingest. Currently, the only supported data format is json.

Response

A successful response returns the unique identifier (id) of the newly created source connection. This ID is required in a later step to create a dataflow.

{
     "id": "246d052c-da4a-494a-937f-a0d17b1c6cf5",
     "etag": "\"712a8c08-fda7-41c2-984b-187f823293d8\""
}

Create a target XDM schema target-schema

In order for the source data to be used in Experience Platform, a target schema must be created to structure the source data according to your needs. The target schema is then used to create an Experience Platform dataset in which the source data is contained.

A target XDM schema can be created by performing a POST request to the Schema Registry API.

For detailed steps on how to create a target XDM schema, see the tutorial on creating a schema using the API.

Create a target dataset target-dataset

A target dataset can be created by performing a POST request to the Catalog Service API, providing the ID of the target schema within the payload.

For detailed steps on how to create a target dataset, see the tutorial on creating a dataset using the API.

Create a target connection target-connection

A target connection represents the connection to the destination where the ingested data is to be stored. To create a target connection, you must provide the fixed connection specification ID that corresponds to the data lake. This ID is: c604ff05-7f1a-43c0-8e18-33bf874cb11c.

You now have the unique identifiers, a target schema, a target dataset, and the connection spec ID to the data lake. Using these identifiers, you can create a target connection using the Flow Service API to specify the dataset that will contain the inbound source data.

API format

POST /targetConnections

Request

The following request creates a target connection for Shopify Streaming:

curl -X POST \
  'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -H 'Content-Type: application/json' \
  -d '{
      "name": "Shopify Streaming Target Connection",
      "description": "Shopify Streaming Target Connection",
      "connectionSpec": {
          "id": "c604ff05-7f1a-43c0-8e18-33bf874cb11c",
          "version": "1.0"
      },
      "data": {
          "format": "json",
          "schema": {
              "id": "{TARGET_XDM_SCHEMA}",
              "version": "application/vnd.adobe.xed-full+json;version=1"
          }
      },
      "params": {
          "dataSetId": "{TARGET_DATASET}"
      }
  }'

Property

Description

name

The name of your target connection. Ensure that the name of your target connection is descriptive, as you can use this to look up information on your target connection.

description

An optional value that you can include to provide more information on your target connection.

connectionSpec.id

The connection specification ID that corresponds to the data lake. This fixed ID is: c604ff05-7f1a-43c0-8e18-33bf874cb11c.

data.format

The format of the Shopify data that you want to bring to Experience Platform.

params.dataSetId

The target dataset ID retrieved in a previous step.

Response

A successful response returns the new target connection’s unique identifier (id). This ID is required in later steps.

{
     "id": "7c96c827-3ffd-460c-a573-e9558f72f263",
     "etag": "\"a196f685-f5e8-4c4c-bfbd-136141bb0c6d\""
}

Create a mapping mapping

In order for the source data to be ingested into a target dataset, it must first be mapped to the target schema that the target dataset adheres to. This is achieved by performing a POST request to Data Prep API with data mappings defined within the request payload.

API format

POST /conversion/mappingSets

Request

curl -X POST \
  'https://platform.adobe.io/data/foundation/mappingSets' \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -H 'Content-Type: application/json' \
  -d '{
    "version": 0,
    "xdmSchema": "{TARGET_XDM_SCHEMA}",
    "xdmVersion": "1.0",
    "mappings": [
      {
        "destinationXdmPath": "person.name.firstName",
        "sourceAttribute": "firstName",
        "identity": false,
        "version": 0
      },
      {
        "destinationXdmPath": "person.name.lastName",
        "sourceAttribute": "lastName",
        "identity": false,
        "version": 0
      }
    ]
  }'

Property

Description

xdmSchema

The ID of the target XDM schema generated in an earlier step.

mappings.destinationXdmPath

The destination XDM path where the source attribute is being mapped to.

mappings.sourceAttribute

The source attribute that needs to be mapped to a destination XDM path.

mappings.identity

A boolean value that designates whether the mapping set will be marked for Identity Service.

Response

A successful response returns details of the newly created mapping including its unique identifier (id). This value is required in a later step to create a dataflow.

{
    "id": "bf5286a9c1ad4266baca76ba3adc9366",
    "version": 0,
    "createdDate": 1597784069368,
    "modifiedDate": 1597784069368,
    "createdBy": "{CREATED_BY}",
    "modifiedBy": "{MODIFIED_BY}"
}

Create a flow flow

The last step towards bringing data from Shopify to Experience Platform is to create a dataflow. By now, you have the following required values prepared:

Source connection ID
Target connection ID
Mapping ID

A dataflow is responsible for scheduling and collecting data from a source. You can create a dataflow by performing a POST request while providing the previously mentioned values within the payload.

API format

POST /flows

Request

curl -X POST \
  'https://platform.adobe.io/data/foundation/flowservice/flows' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -H 'Content-Type: application/json' \
  -d '{
      "name": "Shopify Streaming Dataflow",
      "description": "Shopify Streaming Dataflow",
      "flowSpec": {
          "id": "e77fde5a-22a8-11ed-861d-0242ac120002",
          "version": "1.0"
      },
      "sourceConnectionIds": [
          "246d052c-da4a-494a-937f-a0d17b1c6cf5"
      ],
      "targetConnectionIds": [
          "7c96c827-3ffd-460c-a573-e9558f72f263"
      ],
      "transformations": [
      {
        "name": "Mapping",
        "params": {
          "mappingId": "bf5286a9c1ad4266baca76ba3adc9366",
          "mappingVersion": 0
        }
      }
    ]
  }'

Property

Description

name

The name of your dataflow. Ensure that the name of your dataflow is descriptive, as you can use this to look up information on your dataflow.

description

An optional value that you can include to provide more information on your dataflow.

flowSpec.id

The flow specification ID required to create a dataflow. This fixed ID is: e77fde5a-22a8-11ed-861d-0242ac120002.

flowSpec.version

The corresponding version of the flow specification ID. This value defaults to 1.0.

sourceConnectionIds

The source connection ID generated in an earlier step.

targetConnectionIds

The target connection ID generated in an earlier step.

transformations

This property contains the various transformations that are needed to be applied to your data. This property is required when bringing non-XDM-compliant data to Experience Platform.

transformations.name

The name assigned to the transformation.

transformations.params.mappingId

The mapping ID generated in an earlier step.

transformations.params.mappingVersion

The corresponding version of the mapping ID. This value defaults to 0.

Response

A successful response returns the ID (id) of the newly created dataflow. You can use this ID to monitor, update, or delete your dataflow.

{
     "id": "993f908f-3342-4d9c-9f3c-5aa9a189ca1a",
     "etag": "\"510bb1d4-8453-4034-b991-ab942e11dd8a\""
}

Get your streaming endpoint URL

With your dataflow created, you can now retrieve your streaming endpoint URL. You will use this endpoint URL to subscribe your source to a webhook, allowing your source to communicate with Experience Platform.

To retrieve your streaming endpoint URL, make a GET request to the /flows endpoint and provide the ID of your dataflow.

API format

GET /flows/{FLOW_ID}

Request

curl -X GET \
  'https://platform.adobe.io/data/foundation/flowservice/flows/993f908f-3342-4d9c-9f3c-5aa9a189ca1a' \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}'

Response

A successful response returns information on your dataflow, including your endpoint URL, marked as inletUrl.

{
   "header":{
      "xactionId":"1658464615769:0062:161",
      "source":{
         "name":"shopify"
      },
      "sandboxId":"d537df80-c5d7-11e9-aafb-87c71c35cac8",
      "sandboxName":"prod",
      "originalTimestamp":1658464615770,
      "msgId":"1658464615769:0062:161",
      "msgVersion":"1.0",
      "traceContext":{
         "traceId":"ff3e7544618471eee6b934a4c5929d4e",
         "spanId":"74a759c5cc5f5a06",
         "isSampled":1.0
      },
      "_dcsMeta":{
         "inletId":"9d411a24aa3c0a3eded92bac6c64d0da986ee7a8212f87168c5fb42d9ddc3227",
         "authenticatedRequest":false,
         "debug":true
      }
   },
   "body":{
      "id":4135234371722,
      "admin_graphql_api_id":"gid://shopify/Order/4135234371722",
      "app_id":1354745,
      "browser_ip":null,
      "buyer_accepts_marketing":false,
      "cancel_reason":null,
      "cancelled_at":null,
      "cart_token":null,
      "checkout_id":21706716217482,
      "checkout_token":"b143503216124d50141fe0832fa3f4b0",
      "client_details":{
         "accept_language":null,
         "browser_height":null,
         "browser_ip":null,
         "browser_width":null,
         "session_hash":null,
         "user_agent":null
      },
      "closed_at":null,
      "confirmed":true,
      "contact_email":null,
      "created_at":"2022-07-22T00:36:48-04:00",
      "currency":"INR",
      "current_subtotal_price":"40000.00",
      "current_subtotal_price_set":{
         "shop_money":{
            "amount":"40000.00",
            "currency_code":"INR"
         },
         "presentment_money":{
            "amount":"40000.00",
            "currency_code":"INR"
         }
      },
      "current_total_discounts":"0.00",
      "current_total_discounts_set":{
         "shop_money":{
            "amount":"0.00",
            "currency_code":"INR"
         },
         "presentment_money":{
            "amount":"0.00",
            "currency_code":"INR"
         }
      },
      "current_total_duties_set":null,
      "current_total_price":"47200.00",
      "current_total_price_set":{
         "shop_money":{
            "amount":"47200.00",
            "currency_code":"INR"
         },
         "presentment_money":{
            "amount":"47200.00",
            "currency_code":"INR"
         }
      },
      "current_total_tax":"7200.00",
      "current_total_tax_set":{
         "shop_money":{
            "amount":"7200.00",
            "currency_code":"INR"
         },
         "presentment_money":{
            "amount":"7200.00",
            "currency_code":"INR"
         }
      },
      "customer_locale":null,
      "device_id":null,
      "discount_codes":[

      ],
      "email":"",
      "estimated_taxes":false,
      "financial_status":"paid",
      "fulfillment_status":null,
      "gateway":"manual",
      "landing_site":null,
      "landing_site_ref":null,
      "location_id":39129743498,
      "name":"#1005",
      "note":null,
      "note_attributes":[

      ],
      "number":5,
      "order_number":1005,
      "order_status_url":"https://connnectors-test.myshopify.com/31913214090/orders/ffd48198c78ef460177e44e22b19e6ab/authenticate?key=79a40d7da4b23d6a0beb2ba774f6ac83",
      "original_total_duties_set":null,
      "payment_gateway_names":[
         "manual"
      ],
      "phone":null,
      "presentment_currency":"INR",
      "processed_at":"2022-07-22T00:36:48-04:00",
      "processing_method":"manual",
      "reference":null,
      "referring_site":null,
      "source_identifier":null,
      "source_name":"shopify_draft_order",
      "source_url":null,
      "subtotal_price":"40000.00",
      "subtotal_price_set":{
         "shop_money":{
            "amount":"40000.00",
            "currency_code":"INR"
         },
         "presentment_money":{
            "amount":"40000.00",
            "currency_code":"INR"
         }
      },
      "tags":"",
      "tax_lines":[
         {
            "price":"7200.00",
            "rate":0.18,
            "title":"IGST",
            "price_set":{
               "shop_money":{
                  "amount":"7200.00",
                  "currency_code":"INR"
               },
               "presentment_money":{
                  "amount":"7200.00",
                  "currency_code":"INR"
               }
            },
            "channel_liable":false
         }
      ],
      "taxes_included":false,
      "test":false,
      "token":"ffd48198c78ef460177e44e22b19e6ab",
      "total_discounts":"0.00",
      "total_discounts_set":{
         "shop_money":{
            "amount":"0.00",
            "currency_code":"INR"
         },
         "presentment_money":{
            "amount":"0.00",
            "currency_code":"INR"
         }
      },
      "total_line_items_price":"40000.00",
      "total_line_items_price_set":{
         "shop_money":{
            "amount":"40000.00",
            "currency_code":"INR"
         },
         "presentment_money":{
            "amount":"40000.00",
            "currency_code":"INR"
         }
      },
      "total_outstanding":"0.00",
      "total_price":"47200.00",
      "total_price_set":{
         "shop_money":{
            "amount":"47200.00",
            "currency_code":"INR"
         },
         "presentment_money":{
            "amount":"47200.00",
            "currency_code":"INR"
         }
      },
      "total_price_usd":"589.95",
      "total_shipping_price_set":{
         "shop_money":{
            "amount":"0.00",
            "currency_code":"INR"
         },
         "presentment_money":{
            "amount":"0.00",
            "currency_code":"INR"
         }
      },
      "total_tax":"7200.00",
      "total_tax_set":{
         "shop_money":{
            "amount":"7200.00",
            "currency_code":"INR"
         },
         "presentment_money":{
            "amount":"7200.00",
            "currency_code":"INR"
         }
      },
      "total_tip_received":"0.00",
      "total_weight":800,
      "updated_at":"2022-07-22T00:36:49-04:00",
      "user_id":44968935562,
      "discount_applications":[

      ],
      "fulfillments":[

      ],
      "line_items":[
         {
            "id":10630730743946,
            "admin_graphql_api_id":"gid://shopify/LineItem/10630730743946",
            "fulfillable_quantity":1,
            "fulfillment_service":"manual",
            "fulfillment_status":null,
            "gift_card":false,
            "grams":800,
            "name":"Mobile Phones",
            "origin_location":{
               "id":3141069111434,
               "country_code":"IN",
               "province_code":"UP",
               "name":"Noida",
               "address1":"Noida",
               "address2":"",
               "city":"Noida",
               "zip":"201301"
            },
            "price":"40000.00",
            "price_set":{
               "shop_money":{
                  "amount":"40000.00",
                  "currency_code":"INR"
               },
               "presentment_money":{
                  "amount":"40000.00",
                  "currency_code":"INR"
               }
            },
            "product_exists":true,
            "product_id":4525859963018,
            "properties":[

            ],
            "quantity":1,
            "requires_shipping":true,
            "sku":"",
            "taxable":true,
            "title":"Mobile Phones",
            "total_discount":"0.00",
            "total_discount_set":{
               "shop_money":{
                  "amount":"0.00",
                  "currency_code":"INR"
               },
               "presentment_money":{
                  "amount":"0.00",
                  "currency_code":"INR"
               }
            },
            "variant_id":32045196640394,
            "variant_inventory_management":"shopify",
            "variant_title":"",
            "vendor":"Connnectors Test",
            "tax_lines":[
               {
                  "channel_liable":false,
                  "price":"7200.00",
                  "price_set":{
                     "shop_money":{
                        "amount":"7200.00",
                        "currency_code":"INR"
                     },
                     "presentment_money":{
                        "amount":"7200.00",
                        "currency_code":"INR"
                     }
                  },
                  "rate":0.18,
                  "title":"IGST"
               }
            ],
            "duties":[

            ],
            "discount_allocations":[

            ]
         }
      ],
      "payment_terms":null,
      "refunds":[

      ],
      "shipping_lines":[

      ]
   }
}

Appendix

The following section provides information on the steps you can take to monitor, update, and delete your dataflow.

Monitor your dataflow

Once your dataflow has been created, you can monitor the data that is being ingested through it to see information on flow runs, completion status, and errors. For complete API examples, read the guide on monitoring your sources dataflows using the API.

Update your dataflow

Update the details of your dataflow, such as its name and description, as well as its run schedule and associated mapping sets, by making a PATCH request to the /flows endpoint of the Flow Service API, while providing the ID of your dataflow. When making a PATCH request, you must provide your dataflow’s unique etag in the If-Match header. For complete API examples, read the guide on updating sources dataflows using the API

Update your account

Update the name, description, and credentials of your source account by performing a PATCH request to the Flow Service API while providing your base connection ID as a query parameter. When making a PATCH request, you must provide your source account’s unique etag in the If-Match header. For complete API examples, read the guide on updating your source account using the API.

Delete your dataflow

Delete your dataflow by performing a DELETE request to the Flow Service API while providing the ID of the dataflow you want to delete as part of the query parameter. For complete API examples, read the guide on deleting your dataflows using the API.

Delete your account

Delete your account by performing a DELETE request to the Flow Service API while providing the base connection ID of the account you want to delete. For complete API examples, read the guide on deleting your source account using the API.

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