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BigCommerce (v1)

Last updated: 9/15/2026

BigCommerce integration summary

Stitch’s BigCommerce integration replicates data using the BigCommerce REST API . Refer to the Schema section for a list of objects available for replication.

BigCommerce feature snapshot

A high-level look at Stitch's BigCommerce (v1) integration, including release status, useful links, and the features supported in Stitch.

STITCH
Release status

Released on March 12, 2019

Supported by

Singer Community

Stitch plan

Standard

API availability

Available

Singer GitHub repository

singer-io/tap-bigcommerce

REPLICATION SETTINGS
Anchor Scheduling

Supported

Advanced Scheduling

Supported

Table-level reset

Unsupported

Configurable Replication Methods

Unsupported

DATA SELECTION
Table selection

Supported

Column selection

Supported

Select all

Supported

TRANSPARENCY
Extraction Logs

Supported

Loading Reports

Supported

Connecting BigCommerce

BigCommerce setup requirements

To set up BigCommerce in Stitch, you need:

Step 1: Generate BigCommerce API credentials

In this step, you’ll create an API account and generate read-only API credentials for the BigCommerce store you want to connect to Stitch.

Step 1.1: Create an API account for the store

 Click to enlarge. The BigCommerce Create API Account page, with required permissions highlighted.
Click to enlarge. The BigCommerce Create API Account page, with required permissions highlighted.

  1. Sign into your BigCommerce store as the store owner.
  2. Click Advanced Settings > API Accounts. This will display the Store API Accounts page.
  3. Click the Create API Account button.
  4. In the Name field, enter Stitch.
  5. In the OAuth Scopes section, you’ll set the permissions that Stitch has. Define the following fields:

    • Customers - Set to Read-only
    • Marketing - Set to Read-only
    • Orders - Set to Read-only
    • Products - Set to Read-only
  6. When finished, click the Save button.

Step 1.2: Retrieve your API credentials

After the API account has been successfully created, a pop-up will display and you’ll be prompted to download a .txt file containing the API credentials. If you aren’t prompted to download the .txt file or you encounter other issues, contact BigCommerce support.

Download the file to your computer, and then open it. It’ll look similar to the following:

 Click to enlarge. A BigCommerce API credentials text file. The store has portion of the API path is highlighted.
Click to enlarge. A BigCommerce API credentials text file. The store has portion of the API path is highlighted.

A BigCommerce API credentials text file. The highlighted portion of the API path is the store hash.

You’ll need the following credentials from this file:

  • Client ID
  • Access Token
  • API Path. This contains your store hash. The value between stores/ and /v3/ in the API path is your store hash - this is highlighted in the image above.

    For example: If the API path were https://api.bigcommerce.com/stores/123456/v3/, the store hash would be 123456.

Step 2: Add BigCommerce as a Stitch data source

  1. Sign into your Stitch account.
  2. On the Stitch Dashboard page, click the Add Integration button.

  3. Click the BigCommerce icon.

  4. Enter a name for the integration. This is the name that will display on the Stitch Dashboard for the integration; it’ll also be used to create the schema in your destination.

    For example, the name “Stitch BigCommerce” would create a schema called stitch_bigcommerce in the destination. Note: Schema names cannot be changed after you save the integration.

  5. In the Client ID field, paste the client ID from the .txt file you opened in Step 1.2.
  6. In the Access Token field, paste the access token from the .txt file you opened in Step 1.2.
  7. In the Store Hash field, paste the store hash from the .txt file you opened in Step 1.2.

    To find your store hash, locate the API Path in the .txt file. The value between stores/ and /v3/ in the API path is your store hash. For example: If the API path were https://api.bigcommerce.com/stores/123456/v3/, the store hash would be 123456.

Step 3: Define the historical replication start date

The Sync Historical Data setting defines the starting date for your BigCommerce integration. This means that data equal to or newer than this date will be replicated to your data warehouse.

Change this setting if you want to replicate data beyond BigCommerce’s default setting of 1 year. For a detailed look at historical replication jobs, check out the Syncing Historical SaaS Data guide.

Step 4: Create a replication schedule

In the Replication Frequency section, you’ll create the integration’s replication schedule. An integration’s replication schedule determines how often Stitch runs a replication job, and the time that job begins.

BigCommerce integrations support the following replication scheduling methods:

To keep your row usage low, consider setting the integration to replicate less frequently. See the Understanding and Reducing Your Row Usage guide for tips on reducing your usage.

Step 5: Set objects to replicate

The last step is to select the tables and columns you want to replicate. Learn about the available tables for this integration.

Note: If a replication job is currently in progress, new selections won’t be used until the next job starts.

For BigCommerce integrations, you can select:

  1. Individual tables and columns

  2. All tables and columns

Click the tabs to view instructions for each selection method.

  1. In the integration’s Tables to Replicate tab, locate a table you want to replicate.
  2. To track a table, click the checkbox next to the table’s name. A blue checkmark means the table is set to replicate.

  3. To track a column, click the checkbox next to the column’s name. A blue checkmark means the column is set to replicate.

  4. Repeat this process for all the tables and columns you want to replicate.
  5. When finished, click the Finalize Your Selections button at the bottom of the screen to save your selections.
  1. Click into the integration from the Stitch Dashboard page.
  2. Click the Tables to Replicate tab.

  3. In the list of tables, click the box next to the Table Names column.
  4. In the menu that displays, click Track all Tables and Fields:

    The Track all Tables and Fields menu in the Tables to Replicate tab
    The Track all Tables and Fields menu in the Tables to Replicate tab

  5. Click the Finalize Your Selections button at the bottom of the page to save your data selections.

Initial and historical replication jobs

After you finish setting up BigCommerce, its Sync Status may show as Pending on either the Stitch Dashboard or in the Integration Details page.

For a new integration, a Pending status indicates that Stitch is in the process of scheduling the initial replication job for the integration. This may take some time to complete.

Free historical data loads

The first seven days of replication, beginning when data is first replicated, are free. Rows replicated from the new integration during this time won’t count towards your quota. Stitch offers this as a way of testing new integrations, measuring usage, and ensuring historical data volumes don’t quickly consume your quota.

BigCommerce table reference

coupons

The coupons table contains info about the coupons in your BigCommerce store.

Replication Method

Full Table

Primary Key

id

Useful links

coupons schema on GitHub

BigCommerce API method

customers

The customers table contains info about the customers in your BigCommerce store.

Replication Method

Key-based Incremental

Primary Key

id

Replication Key

date_modified

Useful links

customers schema on GitHub

BigCommerce API method

orders

The orders table contains info about the orders in your BigCommerce store.

Replication Method

Key-based Incremental

Primary Key

id

Replication Key

date_modified

Useful links

orders schema on GitHub

BigCommerce API method

products

The products table contains info about the products in your BigCommerce store.

Note: During the initial replication job for a BigCommerce integration, all products will be replicated. On subsequent replication jobs, only new and updated product records will be replicated.

Replication Method

Key-based Incremental

Primary Key

id

Replication Key

date_modified

Useful links

products schema on GitHub

BigCommerce API method

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