Each endpoint returns structured JSON data containing information about Amazon offers, including product titles, prices, discounts, and links to the products. For example, the "Get Amazon offers" endpoint provides multiple offers with details like old and new prices, product descriptions, and images.

Key fields in the response data include "product_title," "old_price," "new_price," "discount_percent," "link_url," and "thumbnail." These fields provide essential information about each offer, allowing users to understand the deal at a glance.

The "Get Amazon offers by Keyword" endpoint accepts a keyword parameter to filter results based on product relevance. The "Discounts" endpoint requires a "page" parameter and allows optional parameters like "start_date" for more tailored results.

The response data is organized in a JSON format, typically as an array of objects. Each object represents an offer and contains fields such as product details, pricing, and discount information, making it easy to parse and display in applications.

The "Get Amazon offers" endpoint provides general offers, while the "Get Amazon offers by Keyword" endpoint returns offers related to specific products. The "Discounts" endpoint focuses on time-sensitive discounts, including coupon codes and expiration dates.

Data accuracy is maintained through real-time updates from Amazon's promotional feeds. The API continuously retrieves the latest offers, ensuring users receive current and reliable information about discounts and promotions.

Typical use cases include integrating the API into price comparison websites, mobile shopping apps, and loyalty programs. Developers can use the data to enhance user experiences by providing timely offers and personalized promotions based on user preferences.

Users can effectively utilize the returned data by parsing the JSON response to extract relevant fields for display in their applications. For instance, they can showcase product images, prices, and discount percentages to help users make informed purchasing decisions.

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