How to Efficiently Scrape ABC-MART Product Data: From Web Scraping to API Solutions

In the e-commerce industry, having real-time product data is crucial for price comparison, inventory monitoring, and market trend analysis. ABC-MART is a well-known sneaker retail platform in Japan, Korea, and Taiwan, and many developers and sneaker enthusiasts are interested in scraping its product data for market research or automation purposes.

This article will introduce how to scrape ABC-MART product data, covering both traditional web scraping methods and using the Luckdata API for efficient data retrieval. This guide is suitable for developers, data analysts, and sneaker enthusiasts.

Method 1: Using Web Scraping to Extract ABC-MART Data

1️⃣ Identify the Website Structure

First, visit ABC-MART’s official website and inspect the product page structure:

• Open Developer Tools (F12 in Chrome/Firefox)

• Go to the "Elements" tab to check the HTML structure of product details (div, span tags, etc.)

• Go to the "Network" tab to look for API requests (e.g., XHR / Fetch requests)

2️⃣ Choose a Scraping Method

• If product data is static HTML → Use BeautifulSoup to parse the page

• If data is rendered via JavaScript → Use Selenium or API scraping

Using BeautifulSoup (For Static Pages)

If product data is directly available in the HTML source, you can extract it with BeautifulSoup:

import requests
from bs4 import BeautifulSoup
url = "https://www.abc-mart.net/shop/g/g12345678/"
headers = {"User-Agent": "Mozilla/5.0"}
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.text, "html.parser")
# Extract product details
product_name = soup.find("h1", class_="product-title").text.strip()
price = soup.find("span", class_="price").text.strip()
print(f"Product Name: {product_name}")
print(f"Price: {price}")

Using Selenium (For Dynamic Pages)

If the page is rendered dynamically using JavaScript, use Selenium to simulate a browser and extract data:

from selenium import webdriver
from selenium.webdriver.common.by import By
import time
driver = webdriver.Chrome()
url = "https://www.abc-mart.net/shop/g/g12345678/"
driver.get(url)
time.sleep(3)  # Wait for the page to load
product_name = driver.find_element(By.CLASS_NAME, "product-title").text
price = driver.find_element(By.CLASS_NAME, "price").text
print(f"Product Name: {product_name}")
print(f"Price: {price}")
driver.quit()

3️⃣ Anti-Scraping Measures and Bypass Strategies

ABC-MART may have anti-scraping mechanisms in place. To avoid detection:
✅ Use proxy IPs (to prevent IP bans)
✅ Modify User-Agent (to mimic real users)
✅ Reduce request frequency (to avoid triggering rate limits)
✅ Simulate human behavior (e.g., using Selenium to mimic scrolling and clicking)

Method 2: Using the Luckdata API for Efficient Data Retrieval

1️⃣ What is Luckdata API?

Luckdata Sneaker API is a tool that integrates multiple sneaker e-commerce platforms, allowing users to easily retrieve product details from ABC-MART, Footlocker, Adidas, and more. It provides:
✅ Product Name
✅ Price
✅ Stock Availability
✅ Image URL

2️⃣ API Subscription Plans

• Free Plan ($0/month, 100 credits, 1 request per second) - Best for testing

• Basic Plan ($18/month, 12,000 credits, 5 requests per second) - Suitable for medium-scale usage

• Pro Plan ($75/month, 58,000 credits, 10 requests per second) - Ideal for large-scale scraping

• Ultra Plan ($120/month, 100,000 credits, 15 requests per second) - Best for high-frequency requests

3️⃣ How to Use Luckdata API to Fetch ABC-MART Data?

Luckdata provides a simple GET request to retrieve product details:

import requests
API_KEY = "your_key"  # Replace with your API key
product_url = "https://www.abc-mart.com.tw/product/uwrpdfcb"
api_url = f"https://luckdata.io/api/sneaker-API/get_vpx1?url={product_url}"
headers = {"X-Luckdata-Api-Key": API_KEY}
response = requests.get(api_url, headers=headers)
if response.status_code == 200:
data = response.json()
print(f"Product Name: {data.get('name', 'N/A')}")
print(f"Price: {data.get('price', 'N/A')}")
print(f"Stock: {data.get('stock', 'N/A')}")
print(f"Image URL: {data.get('image', 'N/A')}")
else:
print(f"Request failed: {response.status_code}")

4️⃣ Bulk Scraping Multiple Products

To scrape multiple ABC-MART products, you can loop through different URLs:

product_urls = [
"https://www.abc-mart.com.tw/product/uwrpdfcb",
"https://www.abc-mart.com.tw/product/xyz12345"
]
def fetch_product_data(url):
api_url = f"https://luckdata.io/api/sneaker-API/get_vpx1?url={url}"
response = requests.get(api_url, headers={"X-Luckdata-Api-Key": API_KEY})
return response.json() if response.status_code == 200 else None
products = [fetch_product_data(url) for url in product_urls]
print("✅ Bulk scraping completed!")

Storing the Scraped Data

Save Data as CSV

import csv
with open("abc_mart_products.csv", "w", newline="", encoding="utf-8") as file:
writer = csv.writer(file)
writer.writerow(["Product Name", "Price", "Stock", "Image URL"])
for product in products:
writer.writerow([product.get("name"), product.get("price"), product.get("stock"), product.get("image")])

Save Data as JSON

import json
with open("abc_mart_products.json", "w", encoding="utf-8") as file:
json.dump(products, file, ensure_ascii=False, indent=4)

✅ Web Scraping vs API: Which One to Choose?

✅ Use web scraping for small-scale testing
✅ Use the Luckdata API for large-scale data extraction