11 best e-commerce product data APIs in 2026

Building a price comparison tool or monitoring competitor products sounds straightforward until you need reliable data from multiple stores. Amazon, Walmart, eBay, and other retailers organize their product information differently, change prices frequently, and may show different offers depending on the seller or location.

An e-commerce product data API handles much of the collection work. Instead of maintaining separate scrapers for every retailer, you can retrieve product titles, prices, availability, specifications, reviews, and seller information through an API.

But the available services solve different problems. Some specialize in Amazon product intelligence, others collect data across multiple retailers, and some focus on Google Shopping results or historical prices.

This guide compares 11 e-commerce product data APIs in 2026, covering their supported sources, pricing, strengths, and practical trade-offs.

What should you look for in an e-commerce product data API?

The right API depends on the information you need and what you plan to do with it.

A price comparison application might need current prices from Amazon, Walmart, and Google Shopping. A marketplace seller may care more about competing offers, Buy Box ownership, and sales ranks. A price intelligence platform may need historical data and daily refreshes across thousands of products.

Before choosing a provider, consider the following:

• Retailer coverage: Does the API support the marketplaces and individual stores you care about?
• Product discovery: Can you search by keyword, category, ASIN, GTIN, or product URL?
• Available fields: Does it return prices, discounts, availability, specifications, variants, sellers, reviews, and shipping information?
• Data freshness: Does the API collect current information, return cached results, or provide historical data?
• Scale: Can it process large product lists, and how does it handle asynchronous requests, failures, and retries?
• Pricing: Are you paying per request, product record, credit, or a subscription with a fixed usage allowance?

One distinction is especially useful: a product data API is not necessarily a price-tracking service.

An API that returns today's price gives you a snapshot. To build a historical price chart, you must either store repeated snapshots yourself or use a provider with an existing historical database.

Quick comparison: 11 e-commerce product data APIs

Prices are shown in their published currencies. They represent different billing units and should not be compared as equivalent costs per product. Some providers charge separately for additional requests, enrichment, rendering, or other operations.

1. Spidra

Spidra is a web data API that combines web search, scraping, crawling, document parsing, and structured extraction in one platform.

For e-commerce data, Spidra can retrieve product information from Amazon, Walmart, eBay, and other websites without requiring you to build individual scrapers for each store.

Product pages from popular retailers can return structured JSON with fields such as titles, prices, availability, sellers, ratings, specifications, and product identifiers. For other websites, you can provide a plain-language extraction instruction or JSON schema to define the information you want.

Spidra also supports batch scraping, ready-made templates, and monitors for repeated collection.

Key features

• Structured product data from Amazon, Walmart, and eBay.
• Extraction from other online stores using prompts or JSON schemas.
• Batch scraping of up to 50 URLs per request.
• Search and site mapping to discover products and relevant URLs.
• Browser actions for interacting with dynamic pages.
• Presets and monitors for recurring collection and change alerts.
• REST API, SDKs, and MCP server for use in applications and AI agents.

Example: Retrieve structured Amazon product data

You can retrieve product information using the Python SDK without building CSS selectors.

Install the package:

pip install spidra

Create a file named product_lookup.py:

# product_lookup.py
import os
from spidra import Spidra

client = Spidra(api_key=os.environ["SPIDRA_API_KEY"])

result = client.scrape(
    "https://www.amazon.com/dp/B0CG1LGWR6",
    output="json"
)

product = result.content

print({
    field: product.get(field)
    for field in ("asin", "title", "price", "currency", "availability")
})

The product data captured on October 25, 2026, contained:

{
    "asin": "B0CG1LGWR6",
    "title": "LISEN USB C to USB C Cable, 240W Fast Charging Type C Charger Cord (6.6FT)",
    "price": 8.97,
    "currency": "USD",
    "availability": "In Stock"
}

This is a snapshot of the product's information at the time of collection. Its price and availability may have changed since then.

The full response also included the displayed list price, Buy Box seller, rating, review count, and category information.

You can see more of this workflow in the guide to comparing Amazon and Walmart prices with Python, which covers product matching, seller differences, and price normalization.

Pricing

Spidra offers 300 one-time free credits, without requiring a credit card.

Paid plans start at $19/month for 5,000 credits, followed by Builder at $79/month and Pro at $249/month.

Scraping a product page generally starts at one credit, while AI extraction, CAPTCHA solving, or optional proxy usage can add costs. Failed jobs aren't charged.

When to choose Spidra

Spidra is a practical option when you need product data from several sources or want to combine scraping with recurring monitoring.

For example, a price comparison application could collect product information from Amazon, Walmart, and independent stores, normalize it into a common format, and store periodic snapshots.

If you're working exclusively with historical Amazon prices, Keepa may be more appropriate. For very large volumes of product records from a fixed marketplace, dedicated providers may also offer more economical pricing.

2. Rainforest API

Rainforest API specializes in retrieving structured product information from Amazon.

It supports product detail lookups by ASIN, search results, reviews, sellers, offers, and other marketplace data.

Rainforest goes beyond basic product titles and prices. Developers can retrieve product variations, category information, Buy Box data, seller details, and promotional offers.

This makes it useful for sellers, brands, and marketplace intelligence platforms that need to understand how products compete within Amazon.

Rainforest is now part of Traject Data, which was acquired by ScraperAPI. The two services remain distinguishable by their product focus: Rainforest emphasizes Amazon-specific structured data, while ScraperAPI offers broader scraping infrastructure and retailer endpoints.

Key features

• Product details by ASIN, URL, or supported product identifiers.
• Amazon search results and category data.
• Seller offers and Buy Box information.
• Product reviews, variations, and promotional deals.
• Geographic and marketplace targeting.
• Structured responses for price monitoring and catalog analysis.

Pricing

Rainforest offers a Hobbyist plan from $18/month when billed annually, including 500 credits.

Its Starter plan starts at $66/month on annual billing and includes 10,000 credits. Larger plans support increased volume and additional location targeting.

The credit cost depends on the request type. For example, requesting full product details for several results in a product search uses additional credits.

When to choose Rainforest API

Rainforest is well suited to Amazon sellers, pricing teams, and developers building Amazon-focused applications.

It's especially relevant when competing offers, Buy Box changes, seller information, and marketplace-specific product details matter more than coverage of unrelated retailers.

3. Keepa

Keepa is widely known for tracking Amazon product prices over time.

Unlike APIs focused primarily on retrieving a current product page, Keepa maintains historical information that developers can query.

Its API provides product records, price histories, sales rank information, offers, seller data, and other Amazon marketplace signals.

For example, a price tracking application could retrieve a product's historical price series to determine whether its current discount is unusual or whether the price has fluctuated regularly.

That is a different problem from scraping today's price and storing it yourself.

Key features

• Historical Amazon product prices.
• Sales rank history and product statistics.
• Amazon marketplace offer information.
• Product lookup and search.
• Bestseller and deal discovery.
• Seller and category information.

Pricing

Keepa uses monthly API subscriptions with a token-based usage system.

Each plan generates a specified number of tokens per minute. Product requests generally consume tokens per product, while searches, offers, and other operations have their own costs.

Unused tokens expire after 60 minutes, making the model different from a monthly bucket of credits that can be spent at any time.

Current subscription prices should be checked in Keepa's account dashboard.

When to choose Keepa

Keepa is one of the most relevant options for historical Amazon price analysis.

It is particularly useful for Amazon sellers, deal analysis tools, product research applications, and teams that need long-term price or sales rank trends.

Its main trade-off is coverage: Keepa is an Amazon-focused product intelligence service, not a general API for collecting arbitrary product pages from independent stores.

4. Oxylabs

Oxylabs provides e-commerce scraping through its Web Scraper API.

It supports collecting information from major marketplaces and retail websites while handling much of the infrastructure required for large-scale scraping.

Depending on the target and configuration, requests can return page content or structured information suitable for processing into product catalogs, pricing datasets, and market intelligence systems.

Oxylabs supports geographic targeting, asynchronous collection, and enterprise workflows.

It also offers pre-collected datasets for teams that need large amounts of product information without collecting every record themselves.

Key features

• E-commerce scraping for major retailers.
• Product prices, descriptions, availability, and other listing data.
• Geographic targeting for location-specific results.
• Structured data extraction and parsing options.
• Scalable request handling and asynchronous collection.
• Pre-collected e-commerce datasets.

Pricing

Oxylabs' current e-commerce product page advertises plans beginning at $30/month, with entry rates from $0.50 per 1,000 eligible results.

Other pricing pages show different packages, including a $49/month Micro plan. The actual rate depends on request type, rendering, volume, and the package selected.

Review the applicable product pricing before committing to a workload.

When to choose Oxylabs

Oxylabs is suited to teams collecting large amounts of product information across established marketplaces and retailers.

It's worth evaluating when geographic targeting, request volume, and managed scraping infrastructure are central requirements.

For small projects involving a handful of product pages, a simpler credit-based API may be easier to manage.

5. Bright Data

Bright Data offers e-commerce Scraper APIs and pre-collected datasets.

Its APIs cover major marketplaces and retailers, including Amazon and Walmart, and return structured product information.

Developers can collect information such as product titles, prices, sellers, descriptions, availability, ratings, and reviews.

Bright Data also offers ready-made datasets, which are useful when a team needs a substantial volume of records for analysis rather than individual API lookups.

This distinction matters for applications such as product catalog enrichment, market share analysis, and large-scale competitor monitoring.

Key features

• Dedicated e-commerce Scraper APIs.
• Structured product information from major retailers.
• Large-scale data collection and delivery.
• Pre-collected datasets.
• API-based and managed collection options.
• Usage-based pricing for successfully delivered records.

Pricing

Bright Data advertises 5,000 free e-commerce records per month.

Pay-as-you-go pricing starts at $1.50 per 1,000 successfully delivered records.

Its Scale plan begins at $499/month, with included records and lower incremental rates.

Pre-collected datasets have separate pricing.

When to choose Bright Data

Bright Data is a strong option when data volume is the main requirement.

It can make sense for companies building large product intelligence systems, conducting category-wide competitive analysis, or purchasing datasets that would otherwise take significant time to collect.

For a small application requiring occasional lookups, the broader platform may provide more collection options than necessary.

6. Price API

Price API focuses on product and price information from multiple retailers and shopping platforms.

It supports data collection from sources such as Amazon, eBay, and Google Shopping.

A useful feature is its support for product identifiers, including GTINs and manufacturer part numbers, alongside ordinary product searches.

This is relevant because matching the same product across retailers is often more difficult than retrieving its price.

Consider two listings for the same laptop. One store might use the manufacturer model number, while another uses a shortened title and a different product identifier. A price comparison system needs a way to establish that both listings refer to equivalent products before calculating differences.

Key features

• Product search and price collection across supported sources.
• Lookup using identifiers such as GTINs and MPNs.
• Retailer offers and product information.
• Bulk asynchronous requests.
• JSON, CSV, XML, and Excel output.
• Regional support for different markets.

Pricing

Price API offers a free trial containing 1,000 credits.

Its published plans include Go at €99/month for 5,000 credits and Basic at €259/month for 20,000 credits. Higher-volume packages start at €499/month.

A simple request for one product from one source generally uses one credit, although some operations cost more.

When to choose Price API

Price API is worth considering when product matching and cross-retailer offer comparisons are central to your application.

It is particularly relevant for retailers, brands, and pricing analysts that need to compare equivalent products across supported markets.

If your project needs arbitrary webpage extraction or broader web research, a general scraping API may offer more flexibility.

7. DataForSEO Merchant API

DataForSEO Merchant API provides structured e-commerce search and product information from Amazon and Google Shopping.

It is designed for use cases such as product research, competitor analysis, pricing comparisons, and shopping search intelligence.

Developers can retrieve product listings, seller information, product details, and other search-related data.

One distinguishing feature is its pricing model, which separates Standard Queue, Priority Queue, and Live requests. You can choose between lower-cost asynchronous collection and faster results, depending on the workload.

Key features

• Google Shopping product and seller data.
• Amazon product and search information.
• Structured responses for market research.
• Geographic and language targeting.
• Standard, priority, and live request modes.
• Pay-as-you-go billing.

Pricing

DataForSEO charges by request type and processing mode.

For example, its published Standard Queue pricing includes Google Shopping product requests from $0.001 each and Amazon ASIN requests from $0.0015 per product.

Priority and Live requests cost more.

These rates apply to specified endpoints, not every operation in the Merchant API.

When to choose DataForSEO

DataForSEO fits applications that rely heavily on shopping search results, Amazon product discovery, or retailer offer analysis.

It's especially useful when you're building an e-commerce SEO platform, category monitoring tool, or price intelligence application and can use asynchronous processing to reduce collection costs.

It is less suited to scraping arbitrary product pages from websites outside its supported data sources.

8. SerpApi

SerpApi provides structured search engine data, including Google Shopping and several retailer-specific engines.

For e-commerce applications, its Google Shopping API can retrieve product listings with prices, sources, ratings, review counts, and other search information.

Its Google Product API can also retrieve additional details for products identified through Google Shopping, including available offers, specifications, and related product information.

Unlike a general website scraper, SerpApi is designed around search engine and shopping search results.

Key features

• Google Shopping search results.
• Structured product listings and merchant information.
• Product details and available offers.
• Geographic targeting.
• Support for multiple search engines and shopping sources.
• JSON responses and API playground.

Pricing

SerpApi includes 250 free searches per month.

Paid plans start at $25/month for 1,000 searches, followed by higher-volume plans.

Its pricing is based on search requests rather than the number of individual products appearing in a result.

When to choose SerpApi

SerpApi is useful for developers building product discovery tools, shopping search analytics, and applications that compare offers surfaced through Google Shopping.

It can also make sense if you're already using SerpApi for ordinary search data and want to access shopping information through the same service.

If you need detailed data from a retailer's own product pages, compare those requirements against SerpApi's supported engines and fields before choosing it.

9. Apify

Apify is a cloud platform for running web scrapers and automation programs known as Actors.

It has a large collection of ready-made Actors for e-commerce websites, including Amazon, Walmart, eBay, and other marketplaces.

For example, an Amazon product Actor may accept ASINs, keywords, or product URLs and return structured records containing prices, ratings, sellers, specifications, and product links.

Some Actors focus on search result pages, while others retrieve full product details, reviews, or seller information.

Apify also allows developers to create custom Actors when a suitable ready-made option doesn't exist.

Key features

• Ready-made scrapers for major e-commerce websites.
• Product searches and detail-page extraction.
• Cloud execution and scheduling.
• Structured datasets and downloadable exports.
• APIs for running Actors programmatically.
• Custom scraping workflows.

Pricing

Apify offers $5 in monthly free platform usage.

Its Starter plan costs $19/month plus additional usage.

Individual Actors have their own pricing models. Some charge per product record, while others charge for execution resources or events.

For example, certain Amazon product Actors advertise rates of a few dollars per 1,000 records, but those prices are specific to the Actor and do not apply across the entire platform.

When to choose Apify

Apify is valuable when you need data from many different retailers and there is already an Actor for your target.

It is also a good fit for developers who want to start with ready-made scraping workflows but may need to customize them later.

The main consideration is maintenance and consistency. Community-built Actors can differ in field coverage, reliability, usage requirements, and pricing. Evaluate the exact Actor before adopting it in production.

10. ScraperAPI

ScraperAPI provides scraping infrastructure and structured data endpoints for popular websites, including e-commerce platforms.

Its structured endpoints include Amazon product pages, search results, offers, and reviews, as well as selected eBay and Walmart data.

Developers can request structured product information without maintaining their own proxy rotation or browser infrastructure.

The platform also provides asynchronous scraping and a DataPipeline product for larger collection workflows.

In 2026, ScraperAPI announced its acquisition of Traject Data, the company behind Rainforest API. The acquisition expanded its structured-data portfolio, but the product offerings and their pricing should still be evaluated separately.

Key features

• Structured Amazon, eBay, and Walmart data endpoints.
• Product details, search results, and reviews.
• Managed proxies and scraping infrastructure.
• JavaScript rendering and anti-bot handling.
• Asynchronous requests.
• Bulk collection through DataPipeline.

Pricing

ScraperAPI offers a seven-day trial with 5,000 API credits.

Its Hobby plan starts at $49/month for 100,000 API credits.

Credit consumption depends on the target website and enabled features. Its documentation lists a higher credit cost for Amazon requests than for ordinary webpages, so 100,000 API credits should not be interpreted as 100,000 e-commerce product records.

When to choose ScraperAPI

ScraperAPI makes sense when developers want structured retailer endpoints alongside broader scraping infrastructure.

It is useful for teams already comfortable managing API-driven collection pipelines but looking to offload access handling, retries, and parsing for common targets.

For Amazon-specific intelligence, Rainforest may offer more specialized endpoints. For ready-made data collection across many sources, other platforms may require less custom orchestration.

11. OpenWeb Ninja

OpenWeb Ninja offers dedicated APIs for retrieving structured information from major e-commerce platforms.

Its product data services include Amazon, Walmart, eBay, Home Depot, Costco, Wayfair, and other supported sources.

The Amazon API provides endpoints for product details, search results, offers, reviews, best sellers, deals, and seller information.

The wider product catalog also includes retailer-specific APIs, allowing developers to work with several marketplaces through the same provider.

Key features

• Dedicated product data APIs for multiple retailers.
• Amazon product details, sellers, offers, and reviews.
• Product search and marketplace data.
• Structured JSON responses.
• Developer playground and API documentation.
• Subscription and pay-as-you-go options.

Pricing

OpenWeb Ninja offers 100 free requests per month.

Its Pro plan starts at $25/month for 10,000 requests, while higher plans increase the included volume and rate limits.

It also advertises pay-as-you-go requests at $0.005 each.

The applicable price depends on the chosen product API and plan.

When to choose OpenWeb Ninja

OpenWeb Ninja is worth evaluating when you need structured information from several established marketplaces without building a separate scraping pipeline for each retailer.

Its dedicated retailer endpoints make it particularly relevant to price comparison applications, product discovery tools, and marketplace research projects.

If you need data from independent stores that don't have a dedicated endpoint, a more general scraping API may offer better coverage.

Which e-commerce product data API should you choose?

The easiest way to narrow the options is to start with your primary workload.

These choices aren't mutually exclusive.

A product intelligence platform might use Keepa for historical Amazon pricing, SerpApi for Google Shopping discovery, and another scraping API for retailer websites.

That architecture can make sense when a specialist provider offers unique data, but it also introduces additional costs and different response formats.

If your application needs broadly similar product fields across several websites, using one general data extraction service can simplify the collection process.

How much does e-commerce product data actually cost?

Comparing monthly subscription prices is not enough.

A provider offering 100,000 credits for $49 may be more expensive for your particular workload than a service charging $19 for 5,000 credits. The deciding factor is how many usable product records those credits produce.

Consider a price monitoring application that tracks 2,000 products once a day.

Over a 30-day month, that means 60,000 product checks before accounting for retries, extra requests, or seller-specific offers.

The cost will depend on several factors.

Requests versus records

Some APIs charge once for a request, even when the response contains several product listings.

Others charge for each returned product record.

If a search response includes 40 products, a request-based provider and a record-based provider may bill that operation differently.

Product details versus search results

A product search result may contain a title, price, thumbnail, and rating.

Getting detailed specifications, seller offers, product variants, or reviews may require additional requests.

When estimating costs, distinguish between finding products and retrieving their complete details.

Historical data versus fresh collection

If you need today's price, a live product lookup may be sufficient.

If you need six months of price history, a provider with an existing historical dataset may save you from building and maintaining your own tracking system.

Conversely, if you only need historical data from the day your application launches, scheduling repeated collection may be simpler.

Regional prices and stock availability

The same product can show different prices and availability depending on location.

For Amazon and Walmart, factors such as delivery location, seller, condition, and shipping can change the offer being displayed.

A meaningful price comparison should record the marketplace, currency, seller, collection time, and relevant location alongside the price.

For cost evaluation, use a representative set of product URLs and compare how many usable records each provider returns, not just its advertised price per thousand requests.

Product matching matters as much as extraction

Suppose you're comparing the price of the same headphones on Amazon and Walmart.

The Amazon listing might be sold directly by Amazon, while Walmart displays an offer from a third-party seller.

Another listing might include the headphones with a carrying case, while a third offers a refurbished unit.

The titles may look almost identical, but the prices aren't directly comparable.

A useful product comparison system should consider identifiers such as GTINs, manufacturer part numbers, brand, model, color, size, pack quantity, and condition.

When those identifiers aren't available, the application should mark the match as uncertain rather than silently treating the listings as equivalent.

Price normalization is another concern. Currency symbols, separators, sale prices, shipping charges, and unit prices can produce misleading comparisons if they're handled as ordinary strings.

Our Amazon and Walmart price comparison tutorial demonstrates how to validate matching products before calculating a price difference.

For recurring collection, you should also store when each record was retrieved. Two prices collected days apart shouldn't be presented as a simultaneous comparison.

What about official marketplace APIs?

Some marketplaces provide official APIs, but their purpose and access requirements differ from third-party product data services.

Amazon, for example, now offers the Creators API as the successor to the deprecated Product Advertising API.

The Creators API serves eligible Amazon Associates publishers, influencers, and affiliate partners. Access requires enrollment and qualifying activity, making it different from a general-purpose API for collecting competitor product data.

Amazon also offers the Selling Partner API for authorized seller and vendor workflows.

Similarly, platforms such as Shopify and WooCommerce have APIs for managing or accessing data from stores you're authorized to work with.

If your application manages your own store, inventory, orders, or listings, an official platform API is usually the right starting point.

The third-party APIs in this comparison are primarily for accessing publicly available product information from external marketplaces and retailers.

Before collecting or reusing data, review each source's terms, applicable licensing restrictions, and relevant laws. You can read our guide to the legal considerations of web scraping for more context.

Choosing an API for your product

The best e-commerce product data API depends on whether you need current listings, historical information, marketplace-specific analytics, or data across many unrelated stores.

Keepa and Rainforest API are especially relevant for Amazon-focused applications. Price API, SerpApi, and DataForSEO are useful for product search, offer discovery, and retailer comparisons.

Oxylabs and Bright Data offer options for larger-scale collection. Apify provides an extensive selection of retailer-specific scrapers, while ScraperAPI and OpenWeb Ninja offer dedicated endpoints for common e-commerce sources.

Spidra fits developers who need structured product data from several websites and want to combine extraction with batch collection, crawling, or recurring monitoring through one platform.

If your project involves collecting product information across different stores, create a free Spidra account and try extracting a few product pages into structured JSON before committing to a larger workflow.