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 pageIf 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 requestsfrom 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 webdriverfrom 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 requestsAPI_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 csvwith 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 jsonwith 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?
Method | Best For | Difficulty | Maintenance | Speed |
---|---|---|---|---|
Small-scale data collection | Medium | Requires anti-scraping strategies | Slow | |
Luckdata API | Bulk scraping & long-term use | Easy | Low maintenance | Fast |
✅ Use web scraping for small-scale testing
✅ Use the Luckdata API for large-scale data extraction