How to Use the LuckData Sneaker API to Scrape Momentum Sneaker Data

With the booming sneaker market, many sneaker enthusiasts and developers are looking for more efficient ways to acquire sneaker data from various e-commerce platforms. The LuckData Sneaker API is designed exactly for this purpose, integrating multiple sneaker websites, including momentum.com.tw, allowing users to easily access product information, stock status, and more. This article will introduce how to use the LuckData Sneaker API to scrape sneaker data from the Momentum website and provide specific Python code examples.

1. What is the LuckData Sneaker API?

The LuckData Sneaker API is a powerful tool that integrates data from multiple sneaker websites. Developers can access sneaker data from various e-commerce platforms via a unified API. Supported websites include crazy11, billys_tokyo, abc_mart_tw, dreamsport, footlocker, momentum (moment), musinsa, and many other well-known sneaker e-commerce platforms.

LuckData API Subscription Plans

The API offers different subscription plans to meet the needs of various users:

All plans support full API functionality, and users can choose the plan that best fits their needs.

2. How to Fetch Momentum Sneaker Data?

Momentum is a well-known sneaker retailer in Taiwan, offering sneakers from various brands. Through the LuckData Sneaker API, we can quickly fetch product information from the Momentum platform. Here’s the complete process for scraping the data:

2.1 Register for a LuckData API Key

Before using the API, you need to register on the LuckData website and obtain your API Key. The API Key is your identity credential when calling the API and must be included in the request header.

2.2 API Request Format

The LuckData API provides an endpoint specifically for Momentum. You can fetch product data using the following API URL:

GET https://luckdata.io/api/sneaker-API/get_9492?url=https://www.momentum.com.tw/products/A07611C

When sending the request, you must include the X-Luckdata-Api-Key in the request header for authentication.

2.3 Python Code Example

Here’s a complete Python code example for fetching detailed information about a specific sneaker on the Momentum website:

import requests
# Set API Key
API_KEY = "your_key"
# Set the product URL
product_url = "https://www.momentum.com.tw/products/A07611C"
# API request URL
api_url = f"https://luckdata.io/api/sneaker-API/get_9492?url={product_url}"
# Request headers
headers = {
"X-Luckdata-Api-Key": API_KEY
}
# Send GET request
response = requests.get(api_url, headers=headers)
# Parse response data
if response.status_code == 200:
data = response.json()
print("Product Info:", data)
else:
print("Request failed, status code:", response.status_code)

Sample Output (JSON format):

{
"name": "Converse Chuck Taylor All Star 70",
"brand": "Converse",
"price": "NT$ 2,680",
"stock": "In Stock",
"image_url": "https://www.momentum.com.tw/images/A07611C.jpg",
"sizes": ["US 7", "US 8", "US 9", "US 10"]
}

3. Advantages of Using the LuckData API

Compared to traditional web scraping, using the LuckData Sneaker API offers the following advantages:

✅ Direct Data Retrieval: No need to parse HTML code, simply return JSON data.
✅ Supports Multiple E-commerce Platforms: Includes platforms like Momentum, Footlocker, Musinsa, and more.
✅ Bypass Anti-Scraping Mechanisms: No need to worry about IP blocking or verification mechanisms.
✅ Timely Data Updates: The API continuously updates data to ensure accuracy.

If you need to query multiple products in bulk, you can simply change the product_url.

4. Advanced Use Case: Storing Data in a Database

To better manage the sneaker data from the Momentum platform, we can store the retrieved data in a MySQL or MongoDB database. Below is an example of storing the data in MySQL:

import pymysql
# Connect to MySQL
conn = pymysql.connect(
host="localhost", user="root", password="password", database="sneaker_db"
)
cursor = conn.cursor()
# Create table (only need to run once)
cursor.execute("""
CREATE TABLE IF NOT EXISTS momentum_sneakers (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(255),
brand VARCHAR(50),
price VARCHAR(50),
stock VARCHAR(50),
image_url TEXT
)
""")
# Insert data
sql = "INSERT INTO momentum_sneakers (name, brand, price, stock, image_url) VALUES (%s, %s, %s, %s, %s)"
cursor.execute(sql, (data["name"], data["brand"], data["price"], data["stock"], data["image_url"]))
# Commit transaction
conn.commit()
conn.close()
print("Data has been stored in the database")

5. Conclusion

By using the LuckData Sneaker API, we can easily fetch sneaker data from the Momentum website without having to write complex web scraping scripts. This article introduced the basic usage of the API, including registering for an API Key, sending requests, parsing data, and provided a Python code example, even extending to database storage.

If you're a sneaker enthusiast, developer, or working in the sneaker e-commerce industry, using the LuckData Sneaker API is an efficient and convenient way to access sneaker data!