Amazon Products Information API offers a complete set of features for accessing detailed, up-to-date information about items available on the platform. It allows you to search for products by title, keyword, or ASIN, and obtain organized results with essential data such as name, price, currency, direct link to the store, images, and number of reviews. In addition, the API supports the retrieval of product variations, such as different capacities, colors, or versions, and additional details that allow users to understand the available options without having to visit the website directly.
The API also supports advanced searches, allowing you to filter results according to specific criteria, and provides separate endpoints for obtaining product details and search results, ensuring efficiency and clarity in integration. Its design is flexible and scalable, ideal for developers looking to automate the retrieval of Amazon product information without relying on scrapers, and ensures that data is consistent, accurate, and ready to be integrated into web applications, mobile apps, or internal systems.
In summary, this API functions as a robust tool for programmatically accessing, exploring, and analyzing Amazon product information, offering comprehensive and structured data.
Get product suggestions based on a keyword.
Search Suggestions - Endpoint Features
| Object | Description |
|---|---|
searchTerm |
[Required] Enter a keyword |
amazonSite |
Optional Indicate an Amazon site (com or co.uk) |
{"success":true,"suggestions":["looney tunes bugs bunny wasup backpack sprayground"]}
curl --location --request GET 'https://zylalabs.com/api/9676/amazon+products+information+api/17868/search+suggestions?searchTerm=phone' --header 'Authorization: Bearer YOUR_API_KEY'
Get complete details on Amazon products, including title, price, variations, ratings, reviews, specifications, images, and direct purchase link.
Product Information - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
{"response":{"success":true,"product":{"title":"Sprayground Shark Central Split Infinity - Zaino in pelle vegana impermeabile, 45,7 x 15,2 x 29,2 cm, scomparto imbottito per laptop, tasche multiple","price":"38,98 €","variations":[],"rating":"3.8","reviewCount":"5","productInfo":["Chiusura: Cerniera"],"productDetails":[],"productImages":["https://m.media-amazon.com/images/I/41brFRN1mxL._US500_.jpg","https://m.media-amazon.com/images/I/31cP3Zh-4LL._US500_.jpg","https://m.media-amazon.com/images/I/31W4lPieH8L._US500_.jpg","https://m.media-amazon.com/images/I/31W5u7Jc1WL._US500_.jpg","https://m.media-amazon.com/images/I/41WrUeMuzvL._US500_.jpg","https://m.media-amazon.com/images/I/51LnITi+UcL._US500_.jpg","https://m.media-amazon.com/images/I/51nsKKxhUFL._US500_.jpg"],"productUrl":"https://www.amazon.it/Sprayground-Shark-Central-Split-Infinity/dp/B0FKRKXXD6","priceNumber":38.98,"currency":"EUR"}}}
curl --location --request POST 'https://zylalabs.com/api/9676/amazon+products+information+api/17869/product+information' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"asin": "B0BN72FYFG",
"amazonSite": "www.amazon.com",
"location": "US"
}'
Allows you to search for Amazon products, returning a list of results with title, price, currency, ASIN, image, reviews, and direct purchase link.
Product Search - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
{"Example Response":"No response example available for now."}
curl --location --request POST 'https://zylalabs.com/api/9676/amazon+products+information+api/17872/product+search' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"searchTerm": "airpods pro",
"amazonSite": "www.amazon.com",
"location": "US",
"sortBy": "BEST_SELLERS",
"page": 1
}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The GET Search Suggestions endpoint returns product suggestions based on a keyword. The POST Product Information endpoint provides detailed product data, including title, price, variations, ratings, reviews, specifications, images, and a direct purchase link. The POST Product Search endpoint returns a list of products with title, price, currency, ASIN, image, reviews, and purchase links.
Key fields include product title, price, currency, ASIN, image URL, number of reviews, and direct purchase link. For product variations, additional fields may include color, capacity, and specifications, depending on the product.
Response data is structured in JSON format, with each product represented as an object containing key-value pairs. For example, a product object may include fields like "title," "price," "ASIN," and "image," making it easy to parse and integrate into applications.
Parameters vary by endpoint. For GET Search Suggestions, you can use a keyword to refine suggestions. For POST Product Information, you typically provide an ASIN. The POST Product Search allows parameters like search keywords and filters for categories or price ranges.
The GET Search Suggestions endpoint provides keyword-based product suggestions. The POST Product Information endpoint offers comprehensive product details, while the POST Product Search returns a list of products matching search criteria, including pricing and reviews.
Data accuracy is maintained through direct integration with Amazon's product database, ensuring that the information retrieved is up-to-date and reliable. Regular checks and validations are performed to ensure data consistency and quality.
Typical use cases include e-commerce applications that need to display product information, price comparison tools, inventory management systems, and market analysis platforms that require detailed insights into product offerings on Amazon.
Users can utilize the returned data by integrating it into their applications for product listings, price tracking, or user reviews. The structured format allows for easy manipulation and display, enhancing user experience in e-commerce or research contexts.
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