Shopee Scraper API: How To Scrape Shopee Product Data

According to Investor Business Daily, In Q1 2025, Sea Ltd. reported a 29.6% year-over-year increase in revenue, reaching $4.84 billion. Adjusted earnings per share stood at $0.65, surpassing analysts' expectations of $0.60. The company also saw a 136% rise in adjusted EBITDA, totaling $946.5 million, well above the projected $711 million. 

Shopee's e-commerce revenue grew by 28.7% during this period. The platform anticipates a 20% growth in gross merchandise value (GMV) for 2025, building on a 28% increase in 2024.

For businesses aiming to scrape product data such as prices, stock levels, and reviews on Shopee across Southeast Asia, reliable data collection is critical. 

However, anti-bot measures and geo-restrictions create significant hurdles, which OkeyProxy’s socks5 residential proxies and rotating residential proxies overcome to ensure seamless scraping.

The Demand for Shopee Product Data Scraping

Southeast Asia’s e-commerce market is projected to reach $191.2 billion by 2029, with Shopee leading in countries like Vietnam, Malaysia, and Indonesia. 

Scraping product data enables businesses to track pricing, monitor inventory, and analyze reviews for competitive advantage. Shopee’s complex defenses, however, demand advanced tools and strategies.

Challenges of Scraping Shopee Product Data

Scraping Shopee’s product data involves navigating sophisticated obstacles. The platform’s JavaScript-heavy, mobile-first design requires headless browsers to render dynamic content. Anti-bot systems, including CAPTCHAs and IP bans, block repetitive requests, while geo-specific content demands local IPs to access accurate data, such as regional promotions in markets like Indonesia.

Why Proxies Are Essential for Shopee Product Scraping

Proxies route requests through diverse IP addresses, bypassing Shopee’s restrictions. They enable scalable, uninterrupted data collection for price tracking and brand monitoring. 

OkeyProxy, a leading socks5 proxy provider, offers residential socks5 proxies tailored for e-commerce scraping, ensuring reliable access to Shopee’s data across Southeast Asia.

Types of Proxies and Their Applications

Different proxy types serve specific scraping needs. Selecting the right one optimizes performance for tasks like price tracking and brand monitoring.

Socks5 Residential Proxies are ideal for Shopee’s geo-specific content, while Rotating Socks5 Proxies ensure scalability by distributing requests.

Technical Deep Dive: Proxy Mechanisms for Shopee Product Scraping

Proxies enable three critical mechanisms for scraping Shopee product data:

 1.  IP Rotation: Rotating residential proxies cycle IPs to prevent Shopee from flagging bot-like patterns. A pool of 100 IPs can handle thousands of requests without CAPTCHAs.

 2.  Geo-Spoofing: Residential proxies for countries like Indonesia ensure access to localized product data, such as regional discounts or stock levels.

 3.  Session Handling: Static residential proxy socks5 maintains consistent sessions for tasks like price tracking, while rotating socks5 proxies switch IPs for new sessions to avoid bans.

Technical Setup for Product Data Scraping

To scrape Shopee product data, combine Python libraries (requests, BeautifulSoup, Scrapy) with OkeyProxy’s socks5 residential proxies for IP management. 

Use headless browsers like Puppeteer to render Shopee’s dynamic, JavaScript-heavy pages. Randomized user agents and delays mimic human behavior to reduce detection risks.

How to Scrape Shopee Product Data

Scraping Shopee product data involves extracting elements like product names, prices, stock status, and reviews. Shopee’s dynamic HTML structures require targeted CSS selectors or XPath queries. 

Here’s the approach:

 ● Identify Target Data: Extract product names (.product-title), prices (.price-current), stock status (.stock-info), and reviews (.review-text).

 ● Handle Dynamic Content: Use selenium with a headless browser to render JavaScript-loaded data, such as price updates or review counts.

 ● Access Localized Data: Use OkeyProxy’s residential socks5 proxies for regions like Vietnam to retrieve region-specific product details.

 ● Parse and Store Data: Extract data using BeautifulSoup or Scrapy, storing results in JSON or CSV for analysis.

 ● Avoid Detection: Rotate IPs with OkeyProxy’s rotating socks5 proxies, randomize user agents, and implement delays (1–3 seconds) to mimic human browsing.

Sample Code for Scraping Shopee Product Data

Below is a Python script using selenium and OkeyProxy’s socks5 residential proxies to scrape Shopee product data:

from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import random
import json

# OkeyProxy configuration
proxy_list = [
    "socks5://username:[email protected]:port",
    "socks5://username:[email protected]:port"
]

# Selenium setup with SOCKS5 proxy
chrome_options = Options()
chrome_options.add_argument("--headless")
chrome_options.add_argument(random.choice([
    "--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/91.0.4472.124",
    "--user-agent=Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) Safari/605.1.15"
]))
proxy = random.choice(proxy_list)
chrome_options.add_argument(f"--proxy-server={proxy}")

# Initialize driver
driver = webdriver.Chrome(options=chrome_options)

# Target Shopee product page
url = "https://shopee.com/product-page-url"
driver.get(url)

try:
    # Extract product data
    product_name = driver.find_element_by_css_selector(".product-title").text
    price = driver.find_element_by_css_selector(".price-current").text
    stock = driver.find_element_by_css_selector(".stock-info").text
    reviews = driver.find_elements_by_css_selector(".review-text")
    review_texts = [review.text for review in reviews[:3]]  # Limit to 3 reviews

    # Store data
    data = {
        "product_name": product_name,
        "price": price,
        "stock": stock,
        "reviews": review_texts
    }
    with open("shopee_product.json", "w") as f:
        json.dump(data, f, indent=2)
    print(f"Scraped: {product_name}, {price}, {stock}")
except Exception as e:
    print(f"Error: {e}")
finally:
    driver.quit()

This script uses OkeyProxy’s socks5 residential proxies to rotate IPs, selenium to render dynamic content, and extracts product name, price, stock, and reviews, saving them to a JSON file.

Step-by-Step Guide to Automating Shopee Product Scraping

Follow these steps to automate Shopee product data scraping in Southeast Asia:

 1.  Select a Proxy Service

Choose OkeyProxy, a top socks5 proxy provider, for its residential socks5 proxies across Southeast Asia. Select a plan for your scraping volume.

 2.  Install Tools

Set up Python with requests, BeautifulSoup, Scrapy, and selenium. Install ChromeDriver for dynamic content.

 3.  Configure Proxies

Use OkeyProxy’s API to access residential socks5 proxies, e.g., for Malaysia. Implement rotation with rotating socks5 proxies.

 4.  Geo-Target Requests

Use regional residential proxies to access localized product data, ensuring accurate pricing and stock information.

 5.  Manage Sessions

Assign static residential proxy socks5 for tasks like price tracking in Vietnam. Use rotating socks5 proxies for high-volume scraping.

 6.  Parse Product Data

Extract product names, prices, stock status, and reviews using CSS selectors or XPath. Handle dynamic content with selenium.

 7.  Optimize Requests

Implement randomized delays (1–3 seconds) and vary user agents to avoid detection.

 8.  Store and Analyze Data

Save scraped data in JSON or CSV for analysis, ensuring structured output for price tracking and brand monitoring.

 9.  Monitor Performance

Track request success rates and scale proxy pools with OkeyProxy for efficiency.

Pro Tip for Developers

Optimize scraping with OkeyProxy’s API for dynamic rotating socks5 proxy management, reducing manual configuration. Integrate with Scrapy’s middleware for seamless proxy handling:

class ProxyMiddleware:
    def process_request(self, request, spider):
        request.meta["proxy"] = random.choice(proxy_list)
        return None

This middleware ensures each Scrapy request uses a fresh OkeyProxy socks5 residential proxy, minimizing ban risks.

Why OkeyProxy Excels

OkeyProxy, a premier socks5 proxy provider, offers residential socks5 proxies and rotating residential proxies for e-commerce scraping across Southeast Asia. Its API-driven IP rotation and geo-targeting ensure high success rates for tasks like price tracking and brand monitoring. Trusted by developers, OkeyProxy delivers reliable, anonymous scraping tailored to Shopee’s challenges.

FAQs

1.  Why do scraping requests trigger CAPTCHAs on Shopee?

Repetitive requests from one IP raise bot detection flags. OkeyProxy’s rotating socks5 proxies cycle IPs to mimic human behavior, minimizing CAPTCHAs.

2.  How can I access region-specific product data, like in Indonesia?

Use OkeyProxy’s residential socks5 proxies for Indonesia to geo-spoof requests, retrieving localized product listings and pricing.

3.  What’s the best way to configure proxies for large-scale product scraping?

Integrate OkeyProxy’s API for automatic rotating socks5 proxy management and use Scrapy or selenium with randomized headers and delays.

4.  Can I track a product’s stock levels over time without bans?

Use OkeyProxy’s static residential proxy socks5 for session continuity in tasks like stock tracking, switching to rotating socks5 proxies for new sessions.

5.  How do I troubleshoot failed product data requests?

Verify proxy connectivity, ensure region-specific residential socks5 proxies, and check user agent rotation. OkeyProxy’s support team can assist with configuration.

Conclusion

Scraping Shopee product data in Southeast Asia unlocks critical insights for price tracking and brand monitoring, but anti-bot measures and geo-restrictions pose challenges. OkeyProxy’s socks5 residential proxies and rotating residential proxies provide a reliable, scalable solution for automated data collection. 

Visit OkeyProxy to explore plans and power your Shopee scraping today.