Restocks.net API Wrapper

Overview

The restocks_api_wrapper is an unofficial wrapper for the api of the sneaker platform restocks.net. It allows you to get information about products, but also to manage your sales. There is no connection to restocks, this is a private project.

Installation

Install the package using pip:

pip install restocks-api-wrapper

Ensure that you are using Python 3.11 or higher, as this is the minimum version required for this package.

Functions

The following table describes each function available in the RestocksClient object, along with whether a user login is required to use the function.

Function Name	Description	Login Required
search_product	Searches for a product by SKU or name.	No
get_product_info	Retrieves detailed information about a product.	No
get_size_id	Fetches the size ID for a given product and size.	No
get_sku_from_id	Retrieves the SKU for a product based on its ID.	No
get_payout	Calculates the expected payout for a listing.	No
login	Authenticates the user with email and password.	No
check_login	Checks if the user is logged in.	Yes
get_current_listings	Retrieves current product listings.	Yes
get_history_sales	Fetches historical sales data.	Yes
get_current_sales	Fetches current sales data.	Yes
edit_listing	Edits the price of an existing listing.	Yes
delete_listing	Deletes an existing listing.	Yes
list_product	Lists a new product for sale.	Yes
get_shipping_products	Retrieves products that need shipping.	Yes
download_label	Downloads the shipping label for a product.	Yes
check_consign_status	Checks the consignment status of the user.	Yes

Filters

When listing a product or retrieving current listings, you can specify filters to narrow down the results or to set the conditions of your listing. Below are the filter types and their possible values:

ListingDuration

This filter is used to specify the duration for which a product will be listed on the platform. The possible values are:

• Days30: List the product for 30 days.
• Days60: List the product for 60 days.
• Days90: List the product for 90 days.

SellMethod

This filter is used to define the method of sale. The possible values are:

• Consign: The product is sold on consignment.
• Resell: The product is resold directly.

Refer to the usage example below to see how these filters are applied in method calls.

Usage Example

from restocks_client.client import RestocksClient
from restocks_client.filters import SellMethod, ListingDuration

# Initialize the RestocksClient with login credentials and proxy list.
client = RestocksClient(
    proxy_list=[
        "proxy1:port:username:password",
        "proxy2:port:username:password",
        # ... (Add more proxies as needed)
    ]
)

# Fetch information about a product using its SKU.
product_info = client.get_product_info(slug=client.search_product(sku='DD1391-100').slug)

# login data
email = 'your_email@example.com',
password = 'your_password',

# Authenticate and login.
client.login(email, password)

# Retrieve current listings with a specific sell method.
current_listings = client.get_current_listings(sell_method=SellMethod.Resell)

# List a product for sale on the platform.
client.list_product(
    product=client.search_product(sku='DD1391-100'),
    size='36',
    sell_method=SellMethod.Resell,
    duration=ListingDuration.Days90,
    store_price=900
)

# Example of working with listings.
listing = current_listings[1]
client.edit_listing(listing_id=listing.listing_id, new_price=500)

for listing in current_listings:
    client.delete_listing(listing.listing_id)

Note

I recommend the use of proxies, which can be specified as a list as shown in the example. The format hostname:port:username:password is used for this. The use of proxies helps to avoid blocks of restocks. If no proxy list is given, the localhost is used by default.

Credits

This project was inspired by the structure of ssbanjo's Restocks-client. While restocks_api_wrapper is a completely independent and updated implementation, the design and workflow provided a starting point for development. Many thanks to the original author for their work.