The Big Commerce API is a RESTful web service that allows developers to access, modify, and automate data within Big Commerce stores. It supports programmatic control over products, customers, orders, and inventory through standardized HTTP requests and JSON responses.
Big Commerce API uses standard HTTP methods-GET, POST, PUT, DELETE-to interact with resources. Each endpoint requires authentication via an API access token, which is generated in the Big Commerce control panel. Developers send requests to specific URLs, such as /v3/products or /v3/orders, and receive structured data in JSON format.
For example, retrieving a list of products involves sending an HTTP GET request to https://api.bigcommerce.com/stores/{store_hash}/v3/products with proper headers including the X-Auth-Token and Content-Type: application/json. The server responds with a JSON range containing product details like name, price, SKU, and availability status.
Every interaction with the Big Commerce API follows a consistent pattern: authenticate, construct the request, send it, and process the response. Authentication is handled using OAuth 2.0 or API tokens, both requiring a unique access key tied to a store's account.
Requests are stateless. Each call includes the store's unique store_hash, which identifies the target store. For example, a request to update a product's price would include the product ID and the updated price in the request body:
PUT /v3/products/12345
{
"price": 29.99
}The API returns a 200 OK status with the updated resource if successful. Errors return status codes like 400 (bad request), 401 (unauthorized), or 404 (not found), along with error messages in the response body.
Rate limits apply: 100 requests per minute per store. Exceeding this triggers a 429 Too Many Requests response. Developers must implement retry logic with exponential backoff to handle throttling.
The Big Commerce API organizes functionality into distinct resource types. Each type corresponds to a major entity in an online store.
| Resource Type | Primary Function | Sample Endpoint | Use Case Example |
|---|---|---|---|
| Products | Manage product listings, variants, pricing | /v3/products |
Sync product data from a warehouse system |
| Orders | Retrieve, update, or cancel customer orders | /v3/orders |
Automate fulfillment notifications to shipping partners |
| Customers | Access and modify customer profiles and preferences | /v3/customers |
Segment users based on purchase history for email campaigns |
| Inventory | Track stock levels and update quantities | /v3/inventory |
Adjust stock counts after a physical count or shipment |
Each resource supports filtering, sorting, and pagination. For instance, fetching only paid orders from the last 30 days requires adding query parameters: ?status=paid&created_at_min=2024-04-01.
Webhooks extend the API's reach. They allow stores to trigger external actions automatically when events occur-such as a new order being placed. A webhook sends a POST request to a specified URL with event data, enabling real-time sync with external systems like accounting software or CRM platforms.
Many assume the Big Commerce API is limited to basic read/write operations. In reality, it supports complex workflows. For example, you can create a product with multiple variants, assign images, set pricing tiers, and publish it-all in a single transaction using nested objects in the request body.
A frequent misunderstanding is that the API only works with Big Commerce's native themes. This is incorrect. The API functions independently of storefront templates. You can build a custom frontend using React, Vue, or even a static site generator and connect it to the API for changing content.
Another misconception is that API access requires enterprise-tier plans. While advanced features like webhooks and bulk operations are available on higher-tier subscriptions, the core API is accessible on all plans, including the free trial. You can start testing with a sandbox store and generate a token in under five minutes.
In my experience building a multi-store sync tool for a regional retailer, I used the Big Commerce API to pull product data from five different stores and merge it into a central catalog. Each store had unique SKUs and pricing rules, so I wrote a script that:
status=active and page_size=50.The entire process took less than 15 minutes for all five stores. Without the API, this would have required manual login to each admin panel and copy-paste work.
While the Big Commerce API is focused on e-commerce, its structure mirrors patterns used in other SaaS platforms. For comparison, the architecture shares similarities with Shopify's REST API and Stripe's payment processing API, though each has unique rate limits and authentication flows.
According to Big Commerce's official documentation, the API supports over 150 endpoints and handles more than 1 billion requests monthly across global stores. The company reports a 99.9% uptime SLA for production environments, backed by monitoring tools and incident response protocols.
When integrating the Big Commerce API, always test in a staging environment first. Use the Postman collection provided in the developer portal to simulate requests and validate responses before deploying to live stores.
For teams managing multiple stores across regions, consider using the API to automate compliance checks. For example, enforce local tax rates based on customer location by validating address data against a geolocation database.
Understanding the Big Commerce API unlocks the ability to scale operations beyond what's possible with the web interface alone. Whether syncing inventory, triggering automated emails, or building custom dashboards, the API provides direct access to the engine behind the store.
With proper setup and error handling, the Big Commerce API becomes a foundational tool for scaling e-commerce businesses efficiently and reliably.