     [Blog](https://scrapfly.io/blog)   /  [api](https://scrapfly.io/blog/tag/api)   /  [7 Best E-commerce Product Data APIs for Developers in 2026](https://scrapfly.io/blog/posts/best-ecommerce-product-data-apis)   # 7 Best E-commerce Product Data APIs for Developers in 2026

 by [Mayada Shaaban](https://scrapfly.io/blog/author/mayada-shaaban-90143e67) Sep 11, 2026 17 min read [\#api](https://scrapfly.io/blog/tag/api) [\#ecommerce](https://scrapfly.io/blog/tag/ecommerce) [\#python](https://scrapfly.io/blog/tag/python) 

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A Shopify app can pull every SKU, variant, and price from the store it runs in, and nothing from the competitor three tabs over. That is not a bug. Every commerce platform API grants access to one store or marketplace relationship, not the web at large.

This guide sorts seven of those APIs by the access model behind them. Then it covers the one route that works when the retailer or field you need sits outside all of them. Pick by the relationship you have, not by feature count.

[11 Best Web Scraping APIs, Libraries, and Crawlers for Developers in 2026Compare the best web scraping tools in 2026. Pipeline-based guide covering Scrapfly, BeautifulSoup, Playwright, Scrapy, and more for production scraping.](https://scrapfly.io/blog/posts/best-web-scraping-apis)



## Key Takeaways

- **Shopify, WooCommerce, BigCommerce** need merchant-authorized store access to work.
- **eBay Browse API** covers buyer-side search inside eBay's marketplace alone.
- **Amazon SP-API, Walmart Marketplace** tie access to an authorized seller account.
- **Etsy Open API v3** restricts Seller Apps to one shop; Personal and Commercial Access require review.
- **No platform API covers every retailer**, so public-page scraping fills that gap.
- **Match the API to your actual access**, not to which one lists the most fields.

**Get web scraping tips in your inbox**Trusted by 100K+ developers and 30K+ enterprises. Unsubscribe anytime.







## Which E-commerce Product Data API Is Best for Developers?

Pick the API tied to the store or marketplace relationship you have. Then confirm the job: storefront display, seller operations, or buyer-side discovery.

| API | Best for | Data relationship | Access | Main limit |
|---|---|---|---|---|
| Shopify Storefront | Storefront apps | Shopify catalog | Token model | Shopify only |
| eBay Browse | Buyer discovery | eBay marketplace | OAuth | eBay only |
| Amazon SP-API | Seller operations | Amazon seller data | Partner auth | Authorized scope |
| Walmart Marketplace | Seller workflows | Walmart seller data | Seller auth | Authorized scope |
| Etsy Open API | Etsy apps | Listings + shops | Key + OAuth | Access review |
| Woo Store API | Public storefronts | Woo products | Public endpoints | Woo stores |
| BigCommerce Catalog | Merchant catalogs | Store resources | Access token | Authorized store |

Four access patterns show up across the table. A merchant-authorized API, like Shopify's or BigCommerce's, ships with an app the store owner installs and approves.

A seller-authorized API, like Amazon's SP-API or Walmart's Marketplace APIs, ties credentials to one seller account on that platform.

A buyer-side API, like eBay's Browse API, reads public listings through the platform's own search index, not a seller's private data.

A public storefront API, like WooCommerce's Store API, needs no credentials because the store owner built it to serve customers directly.

None of the four grant access to a competitor's catalog because you hold a working API key somewhere else. That distinction shapes every entry below.

Job type cuts across the same four patterns. Storefront display fits a merchant-authorized or public-storefront API. Seller operations fit a seller-authorized API, and a search interface fits a buyer-side API.

[How to Scrape an Entire Product Catalogue with PythonLearn how to discover, crawl, and extract every product from an e-commerce catalog in Python, then keep that data fresh at scale.](https://scrapfly.io/blog/posts/how-to-scrape-large-product-catalogs)



## Project Setup

The runnable examples below use three packages: requests, beautifulsoup4, and scrapfly-sdk. Install them with pip:

bash```bash
pip install requests beautifulsoup4 scrapfly-sdk
```



requests handles the platform API calls, beautifulsoup4 parses HTML for the scraping example, and scrapfly-sdk runs that example's extraction. Each numbered entry below builds one request from that platform's current docs.



## 1. Shopify Storefront API: Best for Shopify Storefront Applications

The [Shopify Storefront API](https://shopify.dev/docs/api/storefront) is best for building storefront and headless commerce apps against a specific Shopify store's catalog.

It is GraphQL only, so every request is a single query against the fields you name, not a fixed REST payload.

Shopify supports tokenless access and token-based authentication. Tokenless access covers core reads like products, collections, and cart.

A Storefront access token, created through the Admin API or a Headless sales channel, unlocks the fuller field set and ties to one shop domain.

Either way, the API serves the catalog of the Shopify store your app connects to. It has no cross-store search and no way to query a different merchant's inventory:

python```python
import requests

url = "https://mock.shop/api"  # public Shopify Storefront API sandbox
query = "{ products(first: 3) { edges { node { id title } } } }"

response = requests.post(url, json={"query": query})
products = response.json()["data"]["products"]["edges"]

for edge in products:
    print(edge["node"]["id"], "-", edge["node"]["title"])
# Output:
# gid://shopify/Product/7982853619734 - Slides
# gid://shopify/Product/7982856273942 - Sweatpants
# gid://shopify/Product/7982902771734 - Men's T-shirt
```



`mock.shop` is Shopify's own public sandbox for the Storefront API, so the tokenless query above runs with no setup. Point the same query at a real store's `myshopify.com` domain once you have a token, and the response shape stays the same.

Every query gets a complexity score. Tokenless access checks that score against a 1,000-point ceiling per query.

The response's `extensions.cost` object reports what the query cost, so a heavy nested query can approach that ceiling long before a simple one does.

A storefront app built this way answers "what does my store sell" well. It has nothing to say about a competitor's catalog, which is where the last section of this guide picks up.



## 2. eBay Browse API: Best for Buyer-Side Marketplace Discovery

The [eBay Browse API](https://developer.ebay.com/develop/api/buy/browse_api) is best for buyer-facing search and item-detail features built on eBay's own listings.

It answers "what is for sale on eBay right now," not "what does this eBay seller have in their warehouse."

Access runs through OAuth using the client credentials grant, which issues an application-level token scoped to public browsing data. eBay requires no individual seller's consent for it.

Every request needs that bearer token. eBay also recommends a marketplace header that tells eBay which country's listings to search. It's required outside the US and defaults to `EBAY_US` if you omit it:

python```python
import requests

url = "https://api.ebay.com/buy/browse/v1/item_summary/search"
headers = {
    "Authorization": "Bearer YOUR_EBAY_ACCESS_TOKEN",
    "X-EBAY-C-MARKETPLACE-ID": "EBAY_US",
}
params = {"q": "wool sneakers", "limit": 3}

response = requests.get(url, headers=headers, params=params)
items = response.json()["itemSummaries"]

for item in items:
    print(item["title"], "-", item["price"]["value"], item["price"]["currency"])
```



Each `itemSummary` in the response carries fields like `itemId`, `title`, `price`, `condition`, and `itemLocation`. Those fields support buyer-facing search and eBay catalog-discovery interfaces.

Filters narrow that search further. The `filter` parameter accepts price ranges, condition, and delivery cost. `category_ids` scopes results to one part of eBay's taxonomy instead of a full-text match alone.

It does not cover seller operations. Listing inventory, managing orders, or updating stock on eBay runs through a separate set of seller APIs, entirely apart from Browse.

For a full scrape of eBay listing pages beyond what Browse exposes, see [how to scrape eBay](https://scrapfly.io/blog/posts/how-to-scrape-ebay).

Amazon's Selling Partner API works the same seller-side angle for a different marketplace.



## 3. Amazon Selling Partner API: Best for Authorized Amazon Seller Workflows

The [Selling Partner API (SP-API)](https://developer-docs.amazon.com/sp-api/) is best for sellers and Amazon-approved partners managing their own catalog, pricing, orders, and reports.

It replaced the older MWS integration.

SP-API now covers Catalog Items, Listings Items, Product Pricing, Orders, Reports, Feeds, and the FBA fulfillment APIs under one program.

Authorization runs on Login with Amazon (LWA). A `refresh_token` grant, issued when a selling partner authorizes your app, produces a short-lived access token that goes in the `x-amz-access-token` header on every call.

A separate `client_credentials` grant covers a handful of grantless operations, like some notifications endpoints, that need no seller authorization at all.

The base URL also changes by region. North America calls `sellingpartnerapi-na.amazon.com`, while Europe and the Far East marketplaces use their own regional hosts.

The Catalog Items API is the closest thing to a general product lookup, and even that stays scoped to a marketplace and an authorized app:

python```python
import requests

asin = "B0BBBBBBBB"
url = f"https://sellingpartnerapi-na.amazon.com/catalog/2022-04-01/items/{asin}"
headers = {"x-amz-access-token": "YOUR_LWA_ACCESS_TOKEN"}
params = {"marketplaceIds": "ATVPDKIKX0DER", "includedData": "summaries"}

response = requests.get(url, headers=headers, params=params)
summaries = response.json()["summaries"]

for summary in summaries:
    print(summary["itemName"], "-", summary.get("brand"))
```



Registration through Amazon's SP-API developer program is a prerequisite either way. Treat this as an authorized seller and partner interface, not an unrestricted feed for every listing Amazon carries.

For broader catalog research on Amazon product pages, including listings outside your seller account, see [how to scrape Amazon](https://scrapfly.io/blog/posts/how-to-scrape-amazon).

Walmart runs a comparable seller-authorized program for its own marketplace.



## 4. Walmart Marketplace APIs: Best for Walmart Seller Integrations

The [Walmart Marketplace APIs](https://developer.walmart.com/us-marketplace/reference) are best for sellers managing items, inventory, pricing, and orders inside Walmart's marketplace program.

Getting in requires an approved seller account before any credential works.

Authentication starts with a token request to `POST /v3/token` using Basic auth built from your Client ID and Client Secret.

The resulting access token is short-lived, good for 900 seconds, and rides in the `WM_SEC.ACCESS_TOKEN` header on every call, alongside a `WM_QOS.CORRELATION_ID` for request tracing:

python```python
import requests

sku = "YOUR_SELLER_SKU"
url = f"https://marketplace.walmartapis.com/v3/items/{sku}"
headers = {
    "WM_SEC.ACCESS_TOKEN": "YOUR_WALMART_ACCESS_TOKEN",
    "WM_QOS.CORRELATION_ID": "a-unique-request-id",
    "WM_SVC.NAME": "Walmart Marketplace",
    "Accept": "application/json",
}

response = requests.get(url, headers=headers)
item = response.json()["responseRecord"]
print(item["sku"], "-", item["productName"], "-", item["publishedStatus"])
```



A response carries fields like `sku`, `wpid`, `productName`, `price`, and `publishedStatus`, scoped to items your seller account manages. Those seller-scoped fields support listing management and order-fulfillment workflows.

For bulk catalog work, the separate Feeds API accepts a batch file instead of one item call per SKU. That matters once a seller account manages a few thousand listings and a one-by-one loop gets too slow.

It says nothing about every field on a public walmart.com page. Reviews, "customers also bought" modules, and competitor listings sit outside this API entirely. For that data, see [how to scrape Walmart.com](https://scrapfly.io/blog/posts/how-to-scrape-walmartcom).

Etsy ties access to app review instead of seller authorization, which changes the onboarding path.



Scrapfly

#### Scale your web scraping effortlessly

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[Try Free →](https://scrapfly.io/register)## 5. Etsy Open API v3: Best for Etsy Listing and Shop Applications

The [Etsy Open API v3](https://developers.etsy.com/documentation/) serves apps that read or manage listings and shops for an Etsy seller.

Etsy has two starting paths. A Seller App is restricted to your own shop. A Personal App supports broader limited-scale use and goes through deeper review; once approved, it can request Commercial Access for broader-scale use.

Public reads, like fetching one listing, work with your app's API key alone, in the `x-api-key` header. Endpoints that touch a shop's private data or make changes still require full OAuth 2.0:

python```python
import requests

listing_id = "123456789"
url = f"https://openapi.etsy.com/v3/application/listings/{listing_id}"
headers = {"x-api-key": "YOUR_ETSY_API_KEY"}

response = requests.get(url, headers=headers)
listing = response.json()
price = listing["price"]["amount"] / listing["price"]["divisor"]
print(listing["title"], "-", price, listing["price"]["currency_code"])
```



A listing response carries `listing_id`, `title`, a `price` object split into `amount` and `divisor`, `state`, and `quantity` among its fields. Those fields support listing and shop lookups within the app's approved access scope.

The split `price` object is a deliberate design choice. Storing `amount` as an integer with a `divisor` avoids the rounding errors a raw float can introduce across currencies. Your app does the division once it reads the response.

The review boundary is the part to plan around. A commercial app idles in review until Etsy approves it, so budget that lead time before a launch date depends on it.

For listing and review data beyond what your app's access tier covers, see [how to scrape Etsy product reviews](https://scrapfly.io/blog/posts/how-to-scrape-etsy-com-product-review-data).

WooCommerce drops the authorization requirement entirely for public storefront reads.



## 6. WooCommerce Store API: Best for Public WooCommerce Storefront Data

The [WooCommerce Store API](https://developer.woocommerce.com/docs/apis/store-api/) reads a WooCommerce store's own products, cart, and checkout data with no credentials at all.

It lives under the `/wp-json/wc/store/v1` namespace on that store's own WordPress install. It ships unauthenticated by design, built to power the store's own customer-facing frontend.

Pagination rides in the response headers rather than a query field. `X-WP-Total` and `X-WP-TotalPages` report the full product count, so a script reads those headers to know when to stop requesting pages.

That is a different surface from the authenticated WooCommerce REST API, which needs a consumer key and secret. It covers store settings and admin operations the Store API does not expose:

python```python
import requests

url = "https://woocommerce.com/wp-json/wc/store/v1/products"
response = requests.get(url, params={"per_page": 3})
products = response.json()

for product in products:
    print(product["id"], "-", product["name"], "-", product["sku"])
# Output:
# 18734006862930 - Help Scout Connector - 
# 18734006862858 - Bulk Search &amp; Replace - 
# 18734006846727 - EU AI Label App - 
```



Each store owner still controls this endpoint. A merchant can restrict or disable Store API access with a security plugin, so no central Woo catalog exists across every store running the platform.

Point the request at a different Woo store's domain, and it returns that store's own products instead.

Keep this entry to public storefront reads. The next platform on this list, BigCommerce, takes the opposite approach and gates its catalog behind merchant authorization from the start.



## 7. BigCommerce Catalog API: Best for Merchant Catalog Management

The [BigCommerce Catalog API](https://docs.bigcommerce.com/developer/docs/admin/catalog-and-inventory/products-overview) is best for merchants and their apps managing products, variants, brands, and categories on one store.

Every request carries a store hash, the unique identifier BigCommerce assigns each store. It also carries an `X-Auth-Token`, issued when the merchant installs and authorizes your app.

That pairing is what keeps the API single-store. There is no store hash that spans multiple merchants, so an app authorized on one store cannot read another's catalog with the same token:

python```python
import requests

store_hash = "YOUR_STORE_HASH"
url = f"https://api.bigcommerce.com/stores/{store_hash}/v3/catalog/products"
headers = {"X-Auth-Token": "YOUR_ACCESS_TOKEN", "Accept": "application/json"}

response = requests.get(url, headers=headers)
products = response.json()["data"]

for product in products:
    print(product["id"], "-", product["name"], "-", product["sku"])
```



A product record carries fields like `id`, `name`, `sku`, `price`, `type`, and `inventory_level`, everything a catalog tool needs for its authorized store. Variants, brands, and categories follow the same store-hash pattern.

The response's `meta.pagination` object carries `total`, `current_page`, and `total_pages`, so a catalog sync script pages through the full product list without guessing when it runs out of results.

Public competitor research stays outside this API's job entirely. The rest of this guide covers what to do when the data you need has no API relationship at all.



## When Should You Scrape Public Product Pages Instead?

Scrape public product pages when the retailer, marketplace, or field you need sits outside every API relationship above. Competitor price monitoring is the clearest case.

No platform hands out a key for a rival's storefront, so the page itself is the only route in.

Stock checks, public review data, and cross-retailer catalogs fall into the same bucket.

[How to Track Competitor Prices Using Web ScrapingIn this web scraping guide, we'll explain how to create a tool for tracking competitor prices using Python. It will scrape specific products from different providers, compare their prices and generate insights.](https://scrapfly.io/blog/posts/how-to-track-competitor-pricing-using-web-scraping)

Each retailer renders product pages differently. A scraper built for one site's DOM or hidden API breaks the moment you point it at another.

Use one source-specific adapter per retailer and feed every adapter into the same canonical schema. A `price` field then means the same thing whether it came from a Shopify-powered boutique or a marketplace listing.

Our guide on [building a product data pipeline from multiple e-commerce sites](https://scrapfly.io/blog/posts/how-to-build-a-product-data-pipeline-from-multiple-ecommerce-sites) walks through that pattern end to end. [Best e-commerce web scraping tools](https://scrapfly.io/blog/posts/best-e-commerce-web-scraping-tools) compares the libraries and services that speed up each adapter.

For a target like Amazon, eBay, or Walmart, the shape stays the same regardless of site. Fetch the page, extract the fields your schema needs, and normalize the result before it reaches storage.

The example below isolates the adapter shape on a public test page. Production retailer pages can also require an anti-bot-aware fetch:

python```python
from scrapfly import ScrapflyClient, ScrapeConfig
from bs4 import BeautifulSoup

client = ScrapflyClient(key="YOUR_SCRAPFLY_KEY")
result = client.scrape(ScrapeConfig(url="https://web-scraping.dev/product/1", asp=True))

soup = BeautifulSoup(result.scrape_result["content"], "html.parser")
product = {
    "title": soup.select_one("h3.product-title").get_text(strip=True),
    "price": soup.select_one(".product-price").get_text(strip=True),
}
print(product)
# Output: {'title': 'Box of Chocolate Candy', 'price': '$9.99'}
```



Here, `asp=True` enables Scrapfly's Unblocker. The public test page isolates the parser shape; test each production retailer separately to determine whether unblocking is required. The parsing logic, one selector per field into one dict, is the shape every source-specific adapter repeats.



That fetch layer is where Scrapfly fits, so the adapters above spend their logic on parsing instead of retries.

ScrapFly's [Web Scraping API](https://scrapfly.io/products/web-scraping-api) combines managed proxies, browser rendering, sessions, and the Unblocker through one endpoint.

- [Unblocker](https://scrapfly.io/docs/scrape-api/unblocker) - detects anti-bot protections and applies the browser profile, request configuration, proxy, and retry strategy needed for the target.
- [Smart proxy rotation](https://scrapfly.io/docs/scrape-api/proxy) - residential and datacenter pools with country and ASN level geo-targeting.
- [JavaScript rendering](https://scrapfly.io/docs/scrape-api/javascript-rendering) - render SPAs and dynamic pages through real cloud browsers.
- [Browser automation scenarios](https://scrapfly.io/docs/scrape-api/javascript-scenario) - scroll, click, fill forms, and wait for elements without managing a browser fleet.
- [Format conversion](https://scrapfly.io/docs/scrape-api/getting-started#api_param_format) - return pages as HTML, JSON, clean text, or LLM ready Markdown.
- [Session management](https://scrapfly.io/docs/scrape-api/session) - keep cookies, headers, and IPs consistent across multi step flows.
- [Smart caching](https://scrapfly.io/docs/scrape-api/getting-started#api_param_cache) - cache successful responses to cut cost on repeat scraping jobs.
- [Python](https://scrapfly.io/docs/sdk/python), [TypeScript](https://scrapfly.io/docs/sdk/typescript), [Scrapy](https://scrapfly.io/docs/sdk/scrapy), and [no-code integrations](https://scrapfly.io/docs/integration/getting-started) including [Make](https://scrapfly.io/integration/make), [n8n](https://scrapfly.io/integration/n8n), [Zapier](https://scrapfly.io/integration/zapier), [LangChain](https://scrapfly.io/integration/langchain), and [LlamaIndex](https://scrapfly.io/integration/llamaindex).



### Web Scraping API

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[Try Web Scraping API](https://scrapfly.io/docs/scrape-api/getting-started)



## FAQ

Is there one API for product data from every retailer?No official platform API has universal retailer coverage. Each covers the store or marketplace it belongs to, and public-page extraction is what fills the gaps between them.







Can Amazon SP-API return competitor product data?SP-API is an authorized seller and partner interface tied to your registered account and marketplace. It is not an unrestricted feed for every public Amazon listing.







Which e-commerce API works without merchant credentials?WooCommerce's Store API and Shopify's tokenless Storefront API expose limited public data with no key, but access still varies by store and platform. Check current docs before you build against either.







What is the difference between a catalog API and a scraping API?A catalog API exposes data through a platform-defined authorization and schema, scoped to one store or seller. A scraping API retrieves the public page directly and extracts whatever fields the site renders.







Is web scraping legal for public e-commerce product pages?Scraping publicly accessible pages is generally legal in most jurisdictions. Still, respect a site's terms of service, avoid personal data, and check local regulations before running a job at scale.









## Summary

Seven APIs, four access models. Shopify, WooCommerce, and BigCommerce work once you already have merchant-authorized access to a store.

eBay Browse covers buyer-side discovery inside its own marketplace. Amazon SP-API and Walmart Marketplace APIs run on seller and partner authorization, and Etsy splits access by app review tier.

None of them, alone or combined, cover a retailer or field outside those relationships. Public-page scraping closes that gap. A fetch layer like Scrapfly handles the part that breaks first. It gets the request through before your adapter sees the page.

Start with the API that matches the access you have. Reach for scraping only once you have confirmed the data you need has no API home at all.



Legal Disclaimer and PrecautionsThis tutorial covers popular web scraping techniques for education. Interacting with public servers requires diligence and respect:

- Do not scrape at rates that could damage the website.
- Do not scrape data that's not available publicly.
- Do not store PII of EU citizens protected by GDPR.
- Do not repurpose *entire* public datasets which can be illegal in some countries.

Scrapfly does not offer legal advice but these are good general rules to follow. For more you should consult a lawyer.

 

   [  Add as a preferred source ](https://google.com/preferences/source?q=scrapfly.io) Table of Contents















 

  Table of Contents- [Key Takeaways](#key-takeaways)
- [Which E-commerce Product Data API Is Best for Developers?](#which-e-commerce-product-data-api-is-best-for-developers)
- [Project Setup](#project-setup)
- [1. Shopify Storefront API: Best for Shopify Storefront Applications](#1-shopify-storefront-api-best-for-shopify-storefront-applications)
- [2. eBay Browse API: Best for Buyer-Side Marketplace Discovery](#2-ebay-browse-api-best-for-buyer-side-marketplace-discovery)
- [3. Amazon Selling Partner API: Best for Authorized Amazon Seller Workflows](#3-amazon-selling-partner-api-best-for-authorized-amazon-seller-workflows)
- [4. Walmart Marketplace APIs: Best for Walmart Seller Integrations](#4-walmart-marketplace-apis-best-for-walmart-seller-integrations)
- [5. Etsy Open API v3: Best for Etsy Listing and Shop Applications](#5-etsy-open-api-v3-best-for-etsy-listing-and-shop-applications)
- [6. WooCommerce Store API: Best for Public WooCommerce Storefront Data](#6-woocommerce-store-api-best-for-public-woocommerce-storefront-data)
- [7. BigCommerce Catalog API: Best for Merchant Catalog Management](#7-bigcommerce-catalog-api-best-for-merchant-catalog-management)
- [When Should You Scrape Public Product Pages Instead?](#when-should-you-scrape-public-product-pages-instead)
- [FAQ](#faq)
- [Summary](#summary)
 
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