- Introduction
-
Getting Started
- Creating an Account in Hevo
- Subscribing to Hevo via AWS Marketplace
- Subscribing to Hevo via Snowflake Marketplace
- Connection Options
- Familiarizing with the UI
- Creating your First Pipeline
- Data Loss Prevention and Recovery
- Upgrading Pipeline from Standard to Edge
-
Data Ingestion
- Types of Data Synchronization
- Ingestion Modes and Query Modes for Database Sources
- Ingestion and Loading Frequency
- Data Ingestion Statuses
- Deferred Data Ingestion
- Handling of Primary Keys
- Handling of Updates
- Handling of Deletes
- Hevo-generated Metadata
- Best Practices to Avoid Reaching Source API Rate Limits
-
Edge
- Data Ingestion
- Core Concepts
-
Pipelines
- Familiarizing with the Pipelines UI
- Creating an Edge Pipeline
- Working with Edge Pipelines
- Pipeline Job History
- Pipeline Overview
- Needs Attention
- Object and Schema Management
- Activity Log
-
Sources
- Connect AI
- PostgreSQL
- Oracle
- MySQL
- SQL Server
- CockroachDB
- Troubleshooting Database Sources
- Salesforce Bulk API V2
- Ordergroove
- BambooHR
- Stripe
- NetSuite SuiteAnalytics
- Shopify
- Slack
- ClickUp
- Monday.com
- Pipedrive
- Workable
- Fathom
- HubSpot
- Salesforce Marketing Cloud
- Google Analytics 4
- Google Ads
- Facebook Ads
- Microsoft Ads
- LinkedIn Ads
- Xero
- Instagram Business
- Amazon Selling Partner
- TikTok Ads
- StackAdapt
- Amazon Ads
- Pinterest Organic
- Zendesk Support
- Snapchat Ads
- TikTok Organic
- Google Search Console
- Klaviyo v2
- Braintree Payments
- Facebook Pages
- Tempo
- Auth0
- Naming Conventions for Source Data Entities
- Destinations
- Transformations
- Alerts
- Activate
- Custom Connectors
-
Releases
- Edge Release Notes - September 2026
- Edge Release Notes - August 2026
- Edge Release Notes - July 2026
- Edge Release Notes - June 2026
- Edge Release Notes - May 2026
- Edge Release Notes - April 2026
- Edge Release Notes - March 2026
- Edge Release Notes - February 2026
- Edge Release Notes - January 2026
- Edge Release Notes - December 2025
- Edge Release Notes - November 2025
- Edge Release Notes - October 2025
- Edge Release Notes - September 2025
- Edge Release Notes - August 2025
- Edge Release Notes - July 2025
- Edge Release Notes - November 2024
-
Data Loading
- Loading Data in a Database Destination
- Loading Data to a Data Warehouse
- Optimizing Data Loading for a Destination Warehouse
- Deduplicating Data in a Data Warehouse Destination
- Manually Triggering the Loading of Events
- Scheduling Data Load for a Destination
- Loading Events in Batches
- Data Loading Statuses
- Data Spike Alerts
- Name Sanitization
- Table and Column Name Compression
- Parsing Nested JSON Fields in Events
-
Pipelines
- Data Flow in a Pipeline
- Familiarizing with the Pipelines UI
- Working with Pipelines
- Managing Objects in Pipelines
- Pipeline Jobs
-
Transformations
-
Python Code-Based Transformations
- Supported Python Modules and Functions
-
Transformation Methods in the Event Class
- Create an Event
- Retrieve the Event Name
- Rename an Event
- Retrieve the Properties of an Event
- Modify the Properties for an Event
- Fetch the Primary Keys of an Event
- Modify the Primary Keys of an Event
- Fetch the Data Type of a Field
- Check if the Field is a String
- Check if the Field is a Number
- Check if the Field is Boolean
- Check if the Field is a Date
- Check if the Field is a Time Value
- Check if the Field is a Timestamp
-
TimeUtils
- Convert Date String to Required Format
- Convert Date to Required Format
- Convert Datetime String to Required Format
- Convert Epoch Time to a Date
- Convert Epoch Time to a Datetime
- Convert Epoch to Required Format
- Convert Epoch to a Time
- Get Time Difference
- Parse Date String to Date
- Parse Date String to Datetime Format
- Parse Date String to Time
- Utils
- Examples of Python Code-based Transformations
-
Drag and Drop Transformations
- Special Keywords
-
Transformation Blocks and Properties
- Add a Field
- Change Datetime Field Values
- Change Field Values
- Drop Events
- Drop Fields
- Find & Replace
- Flatten JSON
- Format Date to String
- Format Number to String
- Hash Fields
- If-Else
- Mask Fields
- Modify Text Casing
- Parse Date from String
- Parse JSON from String
- Parse Number from String
- Rename Events
- Rename Fields
- Round-off Decimal Fields
- Split Fields
- Examples of Drag and Drop Transformations
- Effect of Transformations on the Destination Table Structure
- Transformation Reference
- Transformation FAQs
-
Python Code-Based Transformations
-
Schema Mapper
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Manually Mapping Event Types
- Modifying Schema Mapping for Event Types
- Schema Mapper Actions
- Fixing Unmapped Fields
- Resolving Incompatible Schema Mappings
- Resizing String Columns in the Destination
- Changing the Data Type of a Destination Table Column
- Schema Mapper Compatibility Table
- Limits on the Number of Destination Columns
- File Log
- Troubleshooting Failed Events in a Pipeline
- Mismatch in Events Count in Source and Destination
- Audit Tables
- Activity Log
-
Pipeline FAQs
- Can multiple Sources connect to one Destination?
- What happens if I re-create a deleted Pipeline?
- Why is there a delay in my Pipeline?
- Can I change the Destination post-Pipeline creation?
- Why is my billable Events high with Delta Timestamp mode?
- Can I drop multiple Destination tables in a Pipeline at once?
- How does Run Now affect scheduled ingestion frequency?
- Will pausing some objects increase the ingestion speed?
- Can I see the historical load progress?
- Why is my Historical Load Progress still at 0%?
- Why is historical data not getting ingested?
- How do I set a field as a primary key?
- How do I ensure that records are loaded only once?
- Why can't I see my Pipelines after logging in?
- Events Usage
-
Sources
- Free Sources
-
Databases and File Systems
- Data Warehouses
-
Databases
- Connecting to a Local Database
- Amazon DocumentDB
- Amazon DynamoDB
- Elasticsearch
-
MongoDB
- Generic MongoDB
- MongoDB Atlas
- Support for Multiple Data Types for the _id Field
- Example - Merge Collections Feature
-
Troubleshooting MongoDB
-
Errors During Pipeline Creation
- Error 1001 - Incorrect credentials
- Error 1005 - Connection timeout
- Error 1006 - Invalid database hostname
- Error 1007 - SSH connection failed
- Error 1008 - Database unreachable
- Error 1011 - Insufficient access
- Error 1028 - Primary/Master host needed for OpLog
- Error 1029 - Version not supported for Change Streams
- SSL 1009 - SSL Connection Failure
- Troubleshooting MongoDB Change Streams Connection
- Troubleshooting MongoDB OpLog Connection
-
Errors During Pipeline Creation
- SQL Server
-
MySQL
- Amazon Aurora MySQL
- Amazon RDS MySQL
- Azure MySQL
- Generic MySQL
- Google Cloud MySQL
- MariaDB MySQL
-
Troubleshooting MySQL
-
Errors During Pipeline Creation
- Error 1003 - Connection to host failed
- Error 1006 - Connection to host failed
- Error 1007 - SSH connection failed
- Error 1011 - Access denied
- Error 1012 - Replication access denied
- Error 1017 - Connection to host failed
- Error 1026 - Failed to connect to database
- Error 1027 - Unsupported BinLog format
- Failed to determine binlog filename/position
- Schema 'xyz' is not tracked via bin logs
- Errors Post-Pipeline Creation
-
Errors During Pipeline Creation
- MySQL FAQs
- Oracle
-
PostgreSQL
- Amazon Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Azure PostgreSQL
- Generic PostgreSQL
- Google Cloud PostgreSQL
- Heroku PostgreSQL
- Upgrading Pipelines with PostgreSQL Sources to Use the pgoutput Plugin
-
Troubleshooting PostgreSQL
-
Errors during Pipeline creation
- Error 1003 - Authentication failure
- Error 1006 - Connection settings errors
- Error 1011 - Access role issue for logical replication
- Error 1012 - Access role issue for logical replication
- Error 1014 - Database does not exist
- Error 1017 - Connection settings errors
- Error 1023 - No pg_hba.conf entry
- Error 1024 - Number of requested standby connections
- Errors Post-Pipeline Creation
-
Errors during Pipeline creation
-
PostgreSQL FAQs
- Can I track updates to existing records in PostgreSQL?
- How can I migrate a Pipeline created with one PostgreSQL Source variant to another variant?
- How can I prevent data loss when migrating or upgrading my PostgreSQL database?
- Why do FLOAT4 and FLOAT8 values in PostgreSQL show additional decimal places when loaded to BigQuery?
- Why is data not being ingested from PostgreSQL Source objects?
- Troubleshooting Database Sources
- Database Source FAQs
- File Storage
- Engineering Analytics
- Finance & Accounting Analytics
-
Marketing Analytics
- ActiveCampaign
- AdRoll
- Amazon Ads
- Apple Search Ads
- AppsFlyer
- CleverTap
- Criteo
- Drip
- Facebook Ads
- Facebook Page Insights
- Firebase Analytics
- Freshsales
- Google Ads
- Google Analytics 4
- Google Analytics 360
- Google Play Console
- Google Search Console
- HubSpot
- Instagram Business
- Klaviyo v2
- Lemlist
- LinkedIn Ads
- Mailchimp
- Mailshake
- Marketo
- Microsoft Ads
- Onfleet
- Outbrain
- Pardot
- Pinterest Ads
- Pipedrive
- Recharge
- Segment
- SendGrid Webhook
- SendGrid
- Salesforce Marketing Cloud
- Snapchat Ads
- SurveyMonkey
- Taboola
- TikTok Ads
- Twitter Ads
- Typeform
- YouTube Analytics
- Product Analytics
- Sales & Support Analytics
- Source FAQs
-
Destinations
- Familiarizing with the Destinations UI
- Cloud Storage-Based
- Databases
-
Data Warehouses
- Amazon Redshift
- Amazon Redshift Serverless
- Azure Synapse Analytics
- Databricks
-
Google BigQuery
- Clustering in BigQuery
- Partitioning in BigQuery
- Structure of Data in the Google BigQuery Data Warehouse
- Loading Data to a Google BigQuery Data Warehouse
- Near Real-time Data Loading using Streaming
- Modifying BigQuery Destinations to Use Service Account Authentication
- Troubleshooting Google BigQuery
- Google BigQuery FAQs
- Hevo Managed Google BigQuery
- Snowflake
- Troubleshooting Data Warehouse Destinations
-
Destination FAQs
- Can I change the primary key in my Destination table?
- Can I change the Destination table name after creating the Pipeline?
- How can I change or delete the Destination table prefix?
- Why does my Destination have deleted Source records?
- How do I filter deleted Events from the Destination?
- Does a data load regenerate deleted Hevo metadata columns?
- How do I filter out specific fields before loading data?
- Transform
- Alerts
- Account Management
- Activate
- Glossary
-
Releases- 2026 Releases
-
2025 Releases
- Release 2.44 (Dec 01, 2025-Jan 12, 2026)
- Release 2.43 (Nov 03-Dec 01, 2025)
- Release 2.42 (Oct 06-Nov 03, 2025)
- Release 2.41 (Sep 08-Oct 06, 2025)
- Release 2.40 (Aug 11-Sep 08, 2025)
- Release 2.39 (Jul 07-Aug 11, 2025)
- Release 2.38 (Jun 09-Jul 07, 2025)
- Release 2.37 (May 12-Jun 09, 2025)
- Release 2.36 (Apr 14-May 12, 2025)
- Release 2.35 (Mar 17-Apr 14, 2025)
- Release 2.34 (Feb 17-Mar 17, 2025)
- Release 2.33 (Jan 20-Feb 17, 2025)
-
2024 Releases
- Release 2.32 (Dec 16 2024-Jan 20, 2025)
- Release 2.31 (Nov 18-Dec 16, 2024)
- Release 2.30 (Oct 21-Nov 18, 2024)
- Release 2.29 (Sep 30-Oct 22, 2024)
- Release 2.28 (Sep 02-30, 2024)
- Release 2.27 (Aug 05-Sep 02, 2024)
- Release 2.26 (Jul 08-Aug 05, 2024)
- Release 2.25 (Jun 10-Jul 08, 2024)
- Release 2.24 (May 06-Jun 10, 2024)
- Release 2.23 (Apr 08-May 06, 2024)
- Release 2.22 (Mar 11-Apr 08, 2024)
- Release 2.21 (Feb 12-Mar 11, 2024)
- Release 2.20 (Jan 15-Feb 12, 2024)
-
2023 Releases
- Release 2.19 (Dec 04, 2023-Jan 15, 2024)
- Release Version 2.18
- Release Version 2.17
- Release Version 2.16 (with breaking changes)
- Release Version 2.15 (with breaking changes)
- Release Version 2.14
- Release Version 2.13
- Release Version 2.12
- Release Version 2.11
- Release Version 2.10
- Release Version 2.09
- Release Version 2.08
- Release Version 2.07
- Release Version 2.06
-
2022 Releases
- Release Version 2.05
- Release Version 2.04
- Release Version 2.03
- Release Version 2.02
- Release Version 2.01
- Release Version 2.00
- Release Version 1.99
- Release Version 1.98
- Release Version 1.97
- Release Version 1.96
- Release Version 1.95
- Release Version 1.93 & 1.94
- Release Version 1.92
- Release Version 1.91
- Release Version 1.90
- Release Version 1.89
- Release Version 1.88
- Release Version 1.87
- Release Version 1.86
- Release Version 1.84 & 1.85
- Release Version 1.83
- Release Version 1.82
- Release Version 1.81
- Release Version 1.80 (Jan-24-2022)
- Release Version 1.79 (Jan-03-2022)
-
2021 Releases
- Release Version 1.78 (Dec-20-2021)
- Release Version 1.77 (Dec-06-2021)
- Release Version 1.76 (Nov-22-2021)
- Release Version 1.75 (Nov-09-2021)
- Release Version 1.74 (Oct-25-2021)
- Release Version 1.73 (Oct-04-2021)
- Release Version 1.72 (Sep-20-2021)
- Release Version 1.71 (Sep-09-2021)
- Release Version 1.70 (Aug-23-2021)
- Release Version 1.69 (Aug-09-2021)
- Release Version 1.68 (Jul-26-2021)
- Release Version 1.67 (Jul-12-2021)
- Release Version 1.66 (Jun-28-2021)
- Release Version 1.65 (Jun-14-2021)
- Release Version 1.64 (Jun-01-2021)
- Release Version 1.63 (May-19-2021)
- Release Version 1.62 (May-05-2021)
- Release Version 1.61 (Apr-20-2021)
- Release Version 1.60 (Apr-06-2021)
- Release Version 1.59 (Mar-23-2021)
- Release Version 1.58 (Mar-09-2021)
- Release Version 1.57 (Feb-22-2021)
- Release Version 1.56 (Feb-09-2021)
- Release Version 1.55 (Jan-25-2021)
- Release Version 1.54 (Jan-12-2021)
-
2020 Releases
- Release Version 1.53 (Dec-22-2020)
- Release Version 1.52 (Dec-03-2020)
- Release Version 1.51 (Nov-10-2020)
- Release Version 1.50 (Oct-19-2020)
- Release Version 1.49 (Sep-28-2020)
- Release Version 1.48 (Sep-01-2020)
- Release Version 1.47 (Aug-06-2020)
- Release Version 1.46 (Jul-21-2020)
- Release Version 1.45 (Jul-02-2020)
- Release Version 1.44 (Jun-11-2020)
- Release Version 1.43 (May-15-2020)
- Release Version 1.42 (Apr-30-2020)
- Release Version 1.41 (Apr-2020)
- Release Version 1.40 (Mar-2020)
- Release Version 1.39 (Feb-2020)
- Release Version 1.38 (Jan-2020)
- Early Access New
On This Page
- Supported Features
- Prerequisites
- Create and Install an App in Shopify
- Obtain Client ID and Secret
- Configure Shopify as a Source in your Pipeline
- Data Replication
- Schema and Primary Keys
- Data Model
- Configure Webhooks for Capturing Delete Events
- Handling of Deletes
- Source Considerations
- Limitations
- Revision History
Shopify is an e-commerce platform that enables businesses to create and manage online stores, including products, orders, customers, inventory, and payments. It provides APIs that allow access to store data for analytics and reporting.
To connect Hevo with Shopify, you need to create a custom app in your Shopify store. Unlike public apps that work across many stores, a custom app is built exclusively for your store and gives Hevo secure, scoped access to your data via Shopify’s GraphQL Admin API. You configure the app with the required Admin API permissions to control exactly which data Hevo can fetch. You must install this app in your store to set up a Pipeline in Hevo with Shopify as the Source.
Supported Features
| Feature Name | Supported |
|---|---|
| Capture deletes | Yes |
| Data blocking (skip objects and fields) | Yes |
| Resync (objects and Pipelines) | Yes |
| API configurable | Yes |
| Authorization via Custom App credentials | Yes |
Prerequisites
-
An active Shopify account from which data is to be ingested exists.
-
A custom app is created and installed in your Shopify store with the required API access scopes configured.
Create and Install an App in Shopify
As a first step of replicating data from your Shopify store to the desired Destination, you must create a custom app, using which, you can make API calls to your Shopify store and fetch data. To do this:
-
Log in to your Shopify Store Admin account.
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On the top-right corner of the page, click your store name, and then click Dev Dashboard.

-
On the Apps page, click Create app.

-
In the Create an app screen, provide a descriptive name for your custom app, and then click Create.

-
In the Create a version screen, enter the App URL of your Shopify App. This is the URL of your app or Shopify store homepage. If you haven’t deployed your app yet, you can use Shopify’s default App URL, https://shopify.dev/apps/default-app-home, and update it later with your own hosted URL.

-
To configure the app to make API calls, you must grant the required permissions for the different scopes and the data within these scopes. To do this, under the Access section, click Select scopes.

-
In the Select scopes screen, enable the read_<scope_name> check box for the following scopes to get the read access. These scopes are required to replicate all supported Shopify objects in Hevo.
Note:
-
To replicate objects related to users and staff members, such as user and staff_member, the read_users scope is required. If this scope is not available in your Shopify custom app, contact your Shopify administrator or account owner to grant the required access.
-
The following list represents commonly required scopes. Depending on your use case, additional scopes such as read_analytics, read_reports, read_returns, read_themes, and read_translations may also be required.
- Assigned Fulfillment Orders
- Discounts
- Draft orders
- Fulfillment services
- Inventory
- Marketing events
- Merchant Managed Fulfillment Orders
- Orders
- Price rules
- Products
- Product listings
- Shipping
- Shopify Payment disputes
- Shopify Payment payouts
- Third Party Fulfillment Orders

-
-
Click Done.
-
In the top-right corner of the Create a version screen, click Release.

Once the version is released, the configuration is applied to your custom app. You can now proceed to install the app in your Shopify store.
-
In the left navigation pane, click Home.

-
In the Installs section, click Install app.

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Select the Shopify store in which you want to install the custom app.

-
In the Install app screen, review the selected scopes, and click Install.
Note: To modify scopes, create a new app version, release it, and then install the latest version.

Once the app is installed in your Shopify store, you can proceed to obtain the app credentials in the next step.
Obtain Client ID and Secret
To allow Hevo to authenticate and read data from your custom app, you need to obtain the Client ID and the Client Secret. To do this:
-
On the Apps page, click the app you created in the step above.

-
In the left navigation pane, click Settings.

-
Under the Credentials section, copy the Client ID and Secret and save them securely like any other password.

You can use these credentials while configuring your Hevo Pipeline.
Configure Shopify as a Source in your Pipeline
Perform the following steps to configure your Shopify Source:
-
Click Pipelines in the Navigation Bar.
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Click + Create Pipeline in the Pipelines List View.
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On the Select Source Type page, select Shopify.
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On the Select Destination Type page, select the type of Destination you want to use.
-
In the Configure Source screen, specify the following:

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Source Name: A unique name for your Source, not exceeding 255 characters. For example, Shopify Source.
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In the Connect to your Shopify account section, specify the following:
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Shop name: Your shop name. You can find this in the address bar when logged into your shop. For example, in the URL https://admin.shopify.com/store/mynewshop, the shop name is mynewshop.
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Client ID: The client ID that you retrieved in the Obtain Client ID and Secret step.
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Client Secret: The secret that you retrieved in the Obtain Client ID and Secret step.
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-
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Click Test & Continue to test the connection to your Shopify Source. Once the test is successful, you can proceed to set up your Destination.
Data Replication
When you create a Pipeline, Hevo replicates data for all the objects selected on the Configure Objects page during Pipeline creation. By default, all supported objects and their available fields are selected. However, you can change which objects and fields are included while creating or editing the Pipeline.
Note:
-
This Source supports only the Merge load mode. The Append mode is not supported.
-
By default, Shopify APIs return only the last 60 days of order data. To access orders older than 60 days, you must enable the read_all_orders scope.
When you select a parent object, all its associated child objects are automatically included for replication. Child objects cannot be selected or deselected individually.
Hevo ingests the following types of data from your Source objects:
-
Historical Data: The first run of the Pipeline ingests all available historical data for the selected objects and loads it into the Destination.
-
Incremental Data: Once the historical load is complete, new and updated records for objects are ingested as per the sync frequency
Hevo supports incremental ingestion for Shopify objects that expose the updatedAt timestamp field. For these objects, Hevo uses timestamp-based filtering to fetch only new or updated records during each Pipeline run.
The following objects support incremental ingestion:
- abandoned_checkout
- collection
- company
- company_location
- customer
- draft_order
- fulfillment_order
- inventory_item
- order
- product
Note: For the objects listed above, their associated child objects are also ingested incrementally. For each sync, the complete dataset for the child objects associated with the fetched parent records is retrieved.
For all other objects not listed above, Hevo ingests the entire data during each Pipeline run.
Schema and Primary Keys
Hevo uses the following schema to upload the records in the Destination. For a detailed view of the objects, fields, and relationships, click the Entity-Relationship Diagram (ERD). The ERD shows how the different Shopify objects are structured and linked to each other in your Destination.
Data Model
The following is the list of key parent objects created at the Destination when you run the Pipeline. Each parent object includes associated child objects that are replicated together.
| Object | Description |
|---|---|
| abandoned_checkout | Contains details of incomplete checkout sessions, including items added to cart, applied discounts, and taxes. |
| balance_transaction | Contains financial transaction details related to payouts and adjustments. |
| catalog | Contains catalog data used to organize products across different sales channels or business contexts. |
| collection | Contains product collections, including manual and automated groupings of products. |
| company | Contains company-level information for B2B customers. |
| company_location | Contains location details associated with a company, including tax settings and catalog mappings. |
| customer | Contains customer profiles, including contact details, addresses, and tags. |
| draft_order | Contains orders created but not yet completed or finalized. |
| fulfillment_order | Contains fulfillment requests associated with orders, including tracking and processing details. |
| inventory_item | Contains inventory details linked to product variants, including tracking and cost information. |
| order | Contains order details including items, pricing, discounts, fulfillment, and payment information. Each order represents a transaction and may include multiple related records such as line items, fulfillments, and refunds. |
| product | Contains product details including variants, pricing, options, tags, and associated media. |
| publication | Contains information about product availability across different sales channels. |
| shop | Contains store-level metadata such as settings, currency, and configurations. |
Note:
-
Some objects require specific API scopes to be accessible. If the required scope is not granted in your custom app, those objects are automatically excluded from replication. To resolve this, update the scopes in your custom app and reinstall the app.
-
The gift_card, user, sales_agreement, sale, sale_tax, company, and company_location objects are available only on Shopify Plus accounts. These objects are excluded if the required access is not available for your store.
Additional Information
Read the detailed Hevo documentation for the following related topics:
- Configure Webhooks for Capturing Delete Events
- Handling of Deletes
- Source Considerations
- Limitations
Configure Webhooks for Capturing Delete Events
Shopify does not provide a direct API to retrieve deleted records. To capture delete events, Hevo relies on Shopify webhooks. You must configure these webhooks in your Shopify store using the webhook URL generated for your Pipeline.
Once configured, whenever records are deleted in Shopify, Hevo captures the event and marks the corresponding records in the Destination with the metadata column __hevo__marked_deleted = true. The record is not removed from your Destination. It is retained and flagged so you can identify deleted records in your data. This update is applied during the next incremental sync.
Perform the following steps to configure webhooks for capturing delete events:
Obtain the Webhook URL for your Pipeline
Hevo generates a unique webhook URL for each Pipeline. You will need this URL when configuring webhooks in Shopify. Perform the following steps to obtain the webhook URL:
-
In the Pipeline’s toolbar, click Pipeline Setup.

-
Scroll down to the Configure Pipeline section and copy the URL displayed in the Webhook URL field.

Create Webhooks in your Shopify Store
Perform the following steps to create webhooks in your Shopify store:
-
Log in to your Shopify Store Admin account.
-
In the bottom left corner of the page, click Settings.

-
In the left navigation pane, click Notifications.

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On the Notifications page, click Webhooks.

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Click Create webhook.

-
In the pop-up dialog, specify the following:

- Event: Select the required delete event (see list below).
- Format: JSON
- URL: Paste the webhook URL obtained from your Hevo Pipeline.
- Webhook API version: Select your preferred webhook version.
-
Click Save.
Repeat these steps to create webhooks for all required delete events. You must configure webhooks for the following delete events to ensure complete delete capture:
- Checkout deletion
- Collection deletion
- Companies deletion
- Company contacts deletion
- Customer deletion
- Customer segment deletion
- Draft order deletion
- Fulfillment events deletion
- Inventory items deletion
- Order deletion
- Product deletion
Note: If you have configured additional webhook topics, Shopify may send extra events to the webhook URL. These events are ignored by Hevo and do not affect data ingestion.
Handling of Deletes
Shopify’s GraphQL API does not provide a direct method to retrieve deleted records. If you have configured additional webhooks, Hevo handles deletes differently depending on the object type, using one of two approaches described below:
Approach 1: Webhook-based delete capture (selected objects)
For the parent objects listed below, Hevo captures delete events using Shopify webhooks. When a record is deleted in Shopify, Hevo marks the corresponding record in your Destination with the metadata column __hevo__marked_deleted = true during the next incremental sync. The record is retained in your Destination and flagged rather than removed.
To enable this, you must configure webhook subscriptions for the required delete events in your Shopify store using the webhook URL generated for your Pipeline. See Configure Webhooks for Capturing Delete Events for setup instructions.
- checkout
- collection
- company
- company_contact
- customer_segment
- customer
- draft_order
- fulfillment_event
- inventory_items
- order
- product
Approach 2: Full dataset reload (all other objects)
For objects not listed above, Hevo reloads the complete dataset from Shopify on every Pipeline run. Records present in your Destination that are not returned in the latest API response are automatically marked with __hevo__marked_deleted = true. No webhook configuration is required for these objects.
Note: Child objects do not support delete capture through either approach. As the child object tables are fully reloaded on every sync, any deleted child records are automatically removed from the Destination in the next Pipeline run.
Source Considerations
-
Hevo replicates metafields as child tables for the following objects:
- collection
- customer
- draft_order
- order
- product
- product_image
- product_variant
- shop
Since metafields can significantly increase data volume for high-volume objects such as product or order, enable metafield child objects only if your use case specifically requires this data.
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Updates made directly to child objects in Shopify do not always update the parent object’s
updated_attimestamp. As a result, incremental syncs, which rely on the parent object’s timestamp, may not capture certain child object updates. If data accuracy for child objects is critical for your use case, you can resync the objects when required.
Limitations
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Certain Shopify child objects can be associated with multiple parent record types, where the exact parent type varies per record. For example, a discount_customer_buys_product child object could belong to either a discount_automatic_bxgy or a discount_code_bxgy parent, depending on the record. Since Hevo requires a fixed parent-child mapping, this child objects cannot be ingested. Currently, Hevo supports only fixed parent-child relationships, where each child object maps to a single, well-defined parent table. As a result, child objects that require association with multiple possible parent types are not supported for ingestion.
Note: The parent objects themselves are fully supported and ingested.
The following table lists the affected child objects along with the possible parent types they depend on:
Parent Objects Unsupported Child Objects - discount_automatic_basic
- discount_automatic_bxgy
- discount_code_basic
- discount_code_bxgy- discount_customer_buys_collection
- discount_customer_buys_product
- discount_customer_buys_product_variant
- discount_customer_gets_collection
- discount_customer_gets_product
- discount_customer_gets_product_variant- discount_code_app
- discount_code_bxgy
- discount_code_basic
- discount_code_free_shipping- discount_customer_segment_selection
- discount_customer_selection
- discount_redeem_code
- discount_shareable_url- discount_automatic_free_shipping
- discount_code_free_shipping- discount_destination_selection_country
Revision History
Refer to the following table for the list of key updates made to this page:
| Date | Release | Description of Change |
|---|---|---|
| Jul-01-2026 | NA | Updated the page as per the latest Hevo UI. |
| Mar-31-2026 | NA | New document. |