Get All Products

Retrieve a list of products with optional filtering, searching, and pagination.

HTTP Request

GET/api/shop/products/

NOTE: NOT USING THE TRAILING SLASH AT THE END OF THE URL RESULTS TO AN EXTRA REDIRECT WITH 301 STATUS

Authorization

Required: No
Permission: Public (read-only)
Authentication: None

Query Parameters

Parameter	Type	Default	Description
limit	integer	10	Number of results to return per page
offset	integer	0	Number of results to skip before returning results
search	string	—	Search in product `title`.
ordering	string	—	Order results by (`id`, `title`, `created_at`, `updated_at`, `order`, `active`, `brand__id`, `brand__name`, `categories__id`, `categories__name`, `stock_type`, `stock`, `regular_price`, `sale_price`, `_price`, `_discount`, `_discount_percent`, `_in_stock`, `_rating`, `_comments_count`)
brand_id	integer	—	Filter by specific brand ID
brand_in	string	—	Filter by multiple brand IDs (comma-separated: `1,2,3`)
category_id	integer	—	Filter by specific category ID
category_in	string	—	Filter by multiple category IDs (comma-separated: `1,2,3`)
category_tree_id	integer	—	Filter by category tree ID (returns all products in the category and subcategories)
regular_price_min	number	—	Minimum regular price filter
regular_price_max	number	—	Maximum regular price filter
sale_price_min	number	—	Minimum sale price filter
sale_price_max	number	—	Maximum sale price filter
has_discount	boolean	—	Filter products with/without discount
discount_percent_min	number	—	Minimum discount percentage filter
discount_percent_max	number	—	Maximum discount percentage filter
discount_min	number	—	Minimum discount amount filter
discount_max	number	—	Maximum discount amount filter
price_min	number	—	Minimum final price filter
price_max	number	—	Maximum final price filter
in_stock	boolean	—	Filter by stock availability
has_image	boolean	—	Filter products with/without image
has_comments	boolean	—	Filter products with/without comments
comments_count_min	integer	—	Minimum comments count filter
comments_count_max	integer	—	Maximum comments count filter
rating_min	number	—	Minimum rating filter
rating_max	number	—	Maximum rating filter
id_min	integer	—	Minimum ID filter
id_max	integer	—	Maximum ID filter
created_date	string	—	Filter by creation date (e.g., `2023-01-01`)
updated_date	string	—	Filter by last updated date (e.g., `2023-01-01`)
created_from	string	—	Filter by creation date range start
created_to	string	—	Filter by creation date range end
updated_from	string	—	Filter by last updated date range start
updated_to	string	—	Filter by last updated date range end

Example Requests

🐍 Python
🌐 Curl

1import requests
2
3# Basic product listing
4response = requests.get('http://www.example.com/api/shop/products', params={
5  'limit': 20,
6  'ordering': '_price',
7  'search': 'smartphone',
8  'category_id': 1,
9  'has_discount': True,
10  'price_min': 100,
11  'price_max': 1000,
12  'in_stock': True
13})
14print(response.json())
15
16# With authentication for favorites
17response = requests.get('http://www.example.com/api/shop/products', 
18  params={'limit': 10},
19  headers={'Authorization': 'Token <your_api_key>'}
20)
21print(response.json())

1# Basic listing with filters
2curl "http://www.example.com/api/shop/products?limit=20&ordering=_price&search=smartphone&category_id=1&has_discount=true&price_min=100&price_max=1000&in_stock=true"
3
4# With authentication
5curl "http://www.example.com/api/shop/products?limit=10" -H "Authorization: Token <your_api_key>"

Response Fields

Field	Type	Description
count	Integer	Total number of categories
next	String	URL for the next page of results
previous	String	URL for the previous page of results
results	Array[Object]	Array of Product objects

Product Object Data Structure

Field	Type	Description
id	Integer	Unique ID of the product
image	Object	Product image data (`id`, `url`, `name`, etc.)
code	String	Product code/SKU
title	String	Product name
slug	String	URL-friendly product identifier
stock_type	String	Type of stock management
in_stock	Boolean	Whether product is in stock
stock	Integer	Current stock quantity
regular_price	Decimal	Regular price of the product
sale_price	Decimal	Sale price (if on sale)
discount	Decimal	Discount amount
discount_percent	Decimal	Discount percentage
price	Decimal	Final calculated price
rating	Decimal	Average product rating
comments_count	Integer	Number of product comments/reviews
price_notes	String	Additional price information
excerpt	String	Short product description
is_favorite	Boolean	Whether product is in user's favorites (requires auth)
brand_data	Object	Brand information (`id`, `name`, `slug`)
category_data	Array[Object]	Category information (`id`, `name`, `slug`)

Image Data Structure

Field	Type	Description
id	Integer	Unique ID of the image
type	String	File type (e.g., image/jpeg)
name	String	Original file name
size	Integer	File size in bytes
human_readable_size	String	Human readable file size (e.g., 2.5 MB)
f	String	URL to access the image file
width	Integer	Image width in pixels
height	Integer	Image height in pixels
mode	String	Color mode (e.g., RGB, CMYK)
thumbnails	List of thumbnail objects	Imgae thumbnails

Thumbnail Data Structure

Field	Type	Description
id	Integer	Unique ID of the thumbnail (unique)
f	String	URL to access the thumbnail file
size	Integer	File size in bytes (nullable)

Brand Data Structure

Field	Type	Description
id	Integer	Unique ID of the brand
name	String	Name of the brand

Categories Data Structure

Field	Type	Description
id	Integer	Unique ID of the category
name	String	Name of the category

Example Response

{
    "count": 11,
    "next": "http://127.0.0.1:8000/api/shop/products/?limit=2&offset=2",
    "previous": null,
    "results": [
        {
            "id": 60,
            "image": {
                "id": 2,
                "type": "image",
                "name": "logitech-mx-1",
                "size": 4766,
                "human_readable_size": "4.65 KB",
                "f": "http://127.0.0.1:8000/media/core_media/2025/11/22/logitech-mx-1.jpg",
                "width": 225,
                "height": 225,
                "mode": "RGB",
                "thumbnails": [
                    {
                        "id": 213,
                        "f": "http://127.0.0.1:8000/media/core_media/2026/02/02/thumbnails/test2_ecH0zVV_thumbnail_64x64.jpg",
                        "size": 64
                    },
                    {
                        "id": 214,
                        "f": "http://127.0.0.1:8000/media/core_media/2026/02/02/thumbnails/test2_ecH0zVV_thumbnail_128x128.jpg",
                        "size": 128
                    },
                    {
                        "id": 215,
                        "f": "http://127.0.0.1:8000/media/core_media/2026/02/02/thumbnails/test2_ecH0zVV_thumbnail_512x512.jpg",
                        "size": 512
                    },
                    {
                        "id": 216,
                        "f": "http://127.0.0.1:8000/media/core_media/2026/02/02/thumbnails/test2_ecH0zVV_thumbnail_1080x1080.jpg",
                        "size": 1080
                    }
                ]
            },
            "code": "661",
            "title": "Cheese",
            "slug": "product-name25",
            "stock_type": "limited",
            "in_stock": true,
            "stock": 10,
            "regular_price": 1000,
            "sale_price": 900,
            "discount": 100,
            "discount_percent": 10,
            "price": 900,
            "rating": 0.0,
            "comments_count": 0,
            "price_notes": "for each one",
            "excerpt": "<p>Id earum eveniet tenetur natus pariatur dolorum minus corrupti molestias. Fuga nisi quia autem perspiciatis. Est sint hic quo atque eos et eaque. Est fugit qui alias deserunt. Voluptatem quia voluptatibus ratione. Delectus nihil nulla.</p>",
            "is_favorite": false,
            "brand": null,
            "categories": []
        },
        {
            "id": 59,
            "image": {
                "id": 3,
                "type": "image",
                "name": "logitech-mx-2",
                "size": 3166,
                "human_readable_size": "3.09 KB",
                "f": "http://127.0.0.1:8000/media/core_media/2025/11/22/logitech-mx-2.jpg",
                "width": 275,
                "height": 183,
                "mode": "RGB",
                "thumbnails": [
                    {
                        "id": 213,
                        "f": "http://127.0.0.1:8000/media/core_media/2026/02/02/thumbnails/test2_ecH0zVV_thumbnail_64x64.jpg",
                        "size": 64
                    },
                    {
                        "id": 214,
                        "f": "http://127.0.0.1:8000/media/core_media/2026/02/02/thumbnails/test2_ecH0zVV_thumbnail_128x128.jpg",
                        "size": 128
                    },
                    {
                        "id": 215,
                        "f": "http://127.0.0.1:8000/media/core_media/2026/02/02/thumbnails/test2_ecH0zVV_thumbnail_512x512.jpg",
                        "size": 512
                    },
                    {
                        "id": 216,
                        "f": "http://127.0.0.1:8000/media/core_media/2026/02/02/thumbnails/test2_ecH0zVV_thumbnail_1080x1080.jpg",
                        "size": 1080
                    }
                ]
            },
            "code": "857",
            "title": "Bike",
            "slug": "product-name10",
            "stock_type": "limited",
            "in_stock": true,
            "stock": 10,
            "regular_price": 121999,
            "sale_price": 122000,
            "discount": -1,
            "discount_percent": 0,
            "price": 122000,
            "rating": 3.5,
            "comments_count": 2,
            "price_notes": "for each one",
            "excerpt": "<p>Doloribus a consequatur natus laboriosam mollitia et totam. Dicta sit qui aut possimus officia tempora dicta vitae ab. Delectus dolores voluptas. Voluptas incidunt sit vel sapiente enim enim perspiciatis voluptatum ab. Repellendus et provident explicabo laudantium atque quos magni. Omnis dolorum totam qui reprehenderit facere.</p>",
            "is_favorite": false,
            "brand": {
                "id": 1,
                "name": "Logitech",
                "slug": "logitech"
            },
            "categories": [
                {
                    "id": 1,
                    "name": "کالای دیجیتال",
                    "slug": "digital-products"
                },
                {
                    "id": 2,
                    "name": "ماوس",
                    "slug": "mouse"
                }
            ]
        }
    ]
}

HTTP Request​

Authorization​

Authorization

Query Parameters​

Example Requests​

Response Fields​

Example Response​

HTTP Request

Authorization

Query Parameters

Example Requests

Response Fields

Example Response