Top Shopee Scraper APIs for Product, Search & Live Data

Without the right tools, getting accurate and timely data from the Shopee platform can become a complex and time-consuming task. Similarly, whether you are looking for market analysis or business optimization, choosing a good Shopee data scraping API can greatly improve efficiency and save resources.

Explore these top Shopee scraping API options for fast and accurate data acquisition. To learn how to simplify the data extraction process, continue reading the details on this page.

What is Shopee Data Scraping?

Shopee data scraping is the process of extracting various types of information from the e-commerce platform Shopee using automated tools or APIs.
The data collected through Shopee scraping can be used for:

• Market analysis: Understand product trends, pricing strategies, and competitor products.
• Product tracking: Monitor inventory levels, price fluctuations, and product availability in real time.
• Data integration: Integrate Shopee data into business intelligence tools or internal dashboards.
• Price comparison: Compare Shopee products with those on other platforms to optimize pricing strategies.

Note: Scraping Shopee's public content is generally legal, but you need to comply with the platform's data scraping rules.

Overview of Top 5 Shopee Scraping APIs

#1. Scrapeless Shopee Scraper API – The Best Shopee Scraper API

Scrapeless's Scraping API enables seamless public data collection across multiple industries, including eCommerce, SERPs and SEO, Travel and Hospitality, Real Estate, and more, delivering efficient and accurate data solutions tailored to your needs.

Key Features of Scrapeless Shopee Scraper API:

• AI-driven Automation: Scrapeless tools automatically adapt to changing website structures and anti-bot protections using advanced AI methods, ensuring seamless scraping.
• Comprehensive Data Extraction: Crawl Shopee product lists, prices, reviews, search results, and more to access complete e-commerce data for market analysis.
• Cross-Regional Support: Supports crawling multiple Shopee regions including "shopee.co.id", "shopee.vn", "shopee.co.th", "shopee.ph", "shopee.sg", "shopee.tw", and others, perfect for global e-commerce insights.
• Bypass Anti-Bot Mechanisms: Handles CAPTCHA bypass and proxy management to ensure uninterrupted data extraction even with strict anti-bot measures in place.
• Structured Data Output: Provides extracted data in structured formats like JSON and CSV, making it easy to integrate with your data analysis tools.

How to Use Scrapeless Sopee Scraper API to scrape Shopee data

Using the Shopee Scraper API is an efficient and scalable solution. Next, we will explore how to use the Shopee Scraper API to seamlessly extract data from Shopee.

The following is the process of using Shopee Scraping API to scrape Shopee data:

Step 1: Log in to the Scrapeless Dashboard.

• Navigate to API Key Management.
• Click Create to generate your unique API Key.
• Once created, simply click on the API Key to copy it.

Step 2. Click on Scraping API, then select Shopee to enter the Shopee scraping page.

Step 3. Drop down the Action list to select the data type to scrape, and you can customize the proxy region.

Step 4. Click Start Scraping to start scraping, and the scraping results will be displayed on the right.Scrapeless only charges for successful requests.

If you need to integrate the Scrapeless Shopee Scraper API into your project, please refer to the following request code:

1. Product Detail Data

import json
import requests

class Payload:
    def __init__(self, actor, input_data):
        self.actor = actor
        self.input = input_data

def send_request():
    host = "api.scrapeless.com"
    url = f"https://{host}/api/v1/scraper/request"
    token = "your api key"

    headers = {
        "x-api-token": token
    }

    input_data = {
        "action": "shopee.product",
        "url": "https://shopee.tw/2312312.10228173.24803858474"
    }

    payload = Payload("scraper.shopee", input_data)

    json_payload = json.dumps(payload.__dict__)

    response = requests.post(url, headers=headers, data=json_payload)

    if response.status_code != 200:
        print("Error:", response.status_code, response.text)
        return

    print("body", response.text)

if __name__ == "__main__":
    send_request()

2. Product Search Data

import json
import requests

class Payload:
    def __init__(self, actor, input_data):
        self.actor = actor
        self.input = input_data

def send_request():
    host = "api.scrapeless.com"
    url = f"https://{host}/api/v1/scraper/request"
    token = "your api key"

    headers = {
        "x-api-token": token
    }

    input_data = {
        "action": "shopee.search",
        "url": "https://shopee.tw/2312312.10228173.24803858474"
    }

    payload = Payload("scraper.shopee", input_data)

    json_payload = json.dumps(payload.__dict__)

    response = requests.post(url, headers=headers, data=json_payload)

    if response.status_code != 200:
        print("Error:", response.status_code, response.text)
        return

    print("body", response.text)

if __name__ == "__main__":
    send_request()

3. Live Data

import json
import requests

class Payload:
    def __init__(self, actor, input_data):
        self.actor = actor
        self.input = input_data

def send_request():
    host = "api.scrapeless.com"
    url = f"https://{host}/api/v1/scraper/request"
    token = "your api key"

    headers = {
        "x-api-token": token
    }

    input_data = {
        "action": "shopee.live",
        "url": "https://shopee.tw/2312312.10228173.24803858474"
    }

    payload = Payload("scraper.shopee", input_data)

    json_payload = json.dumps(payload.__dict__)

    response = requests.post(url, headers=headers, data=json_payload)

    if response.status_code != 200:
        print("Error:", response.status_code, response.text)
        return

    print("body", response.text)

if __name__ == "__main__":
    send_request()

For large-scale crawling, you may need to implement a distributed system where multiple instances of the crawler run in parallel on different servers. This helps balance the load and speed up the process significantly. Cloud-based solutions like Scrapeless provide scalable infrastructure where you can deploy multiple scraping tasks simultaneously without having to worry about hardware limitations or IP blocking.

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#2. Shopee API v4 – Official but Limited

Shopee API v4 is the latest official API version provided by Shopee, designed to help developers and businesses integrate with the Shopee platform more efficiently. While it offers improvements in security, documentation, and features compared to previous versions, it still has some limitations, including:

• Strict rate limits: API call frequency is tightly controlled, making it challenging for large-scale businesses that may require additional optimizations or higher quotas.
• Restricted or missing endpoints: Some core functionalities (such as order management and inventory synchronization) may not be directly accessible via the API, limiting business process automation.
• Complex approval process: Certain API endpoints require additional review and authorization, increasing the integration difficulty, especially for new users or small-scale sellers.
• Data update delays: API responses may have a slight delay, affecting real-time inventory management and order processing accuracy.

Although Shopee API v4 is the officially recommended integration method, its limitations may lead some businesses to seek third-party API solutions or alternative methods for greater efficiency and flexibility.

#3. Datahut

Datahut is a cloud-based data scraping service that offers an API for web data extraction, including e-commerce platforms like Shopee. It focuses on delivering clean, structured data in a user-friendly format, making it ideal for businesses and developers who need to collect large amounts of product, pricing, and market data.

Key Features:

• Specializes in scraping e-commerce platforms.
• Provides structured and clean data.
• Scalable for large web scraping projects.

#4. DataMiner API

DataMiner is a web scraping tool that provides browser extensions and APIs for automated data extraction. Its API allows users to create custom scraping rules to extract data from various websites including Shopee.

Key Features:

• Browser extension for easy point-and-click setup.
• Custom scraping rule creation through the API.
• Supports dynamic websites with JavaScript rendering.

#5. Scrapingant

Scrapingant is a web scraping API designed to overcome common challenges like IP blocking, CAPTCHA, and session handling. It provides automated solutions for scraping a wide range of websites, including Shopee, with minimal setup. The API handles anti-scraping measures and delivers accurate, structured data.

Key Features:

• Handles CAPTCHA solving and proxy management.
• High-speed scraping for large volumes of data.
• Supports real-time scraping with fast data retrieval.

Why Scrapeless is the Best Alternative to Shopee API v4?

While Shopee API v4 provides an official way to integrate with the Shopee platform, its limitations—such as strict rate limits, missing endpoints, and complex approval processes—can hinder businesses that require more flexibility and efficiency. Scrapeless emerges as the best alternative by offering a more scalable, unrestricted, and developer-friendly solution.

• No strict rate limits: Unlike Shopee API v4, Scrapeless allows businesses to retrieve data without worrying about API call restrictions, ensuring seamless operations for high-volume users.
• Access to complete data: Scrapeless provides access to critical data points that may be missing or restricted in the official API, enabling a more comprehensive business strategy.
• Instant access with no approval delays: Unlike Shopee API v4, which requires complex verification and approval, Scrapeless allows businesses to integrate quickly without waiting for API access.
• Real-time updates and higher reliability: With more frequent data updates and reliable performance, Scrapeless ensures accurate information for inventory tracking, order management, and competitor analysis.

For businesses looking for a powerful, flexible, and hassle-free alternative to Shopee API v4, Scrapeless provides the ideal solution to overcome limitations and unlock new growth opportunities.

Conclusion

In conclusion, Scrapeless Scraper API is the first choice for most users who want to efficiently collect Shopee product, search, and real-time data. Its ease of use and reliable performance make it an ideal choice for both beginners and experienced users.
Start using Scrapeless Scraper API today and experience seamless Shopee data extraction!

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Recommended reading:Shopee Scraper API: How to Scrape Product Data from Shopee

Frequently Asked Questions about Shopee Scraping

1. Is it legal to scrape data from Shopee?

Scraping Shopee’s public data is legal. But be sure to comply with any local regulations regarding data usage and scraping to avoid any legal issues.

2. What is Shopee scraping? Why is it important?

Shopee scraping refers to the process of extracting data from Shopee’s e-commerce platform, such as product details, prices, search results, and real-time data. Since Shopee is the leading marketplace in Southeast Asia, obtaining this data is essential to staying competitive in the e-commerce industry.

3. Can Shopee data scraping be done in real time?

Yes, it is possible to scrape data in real time with the right tools. These APIs allow you to collect real-time product listings, prices, and other real-time data directly from Shopee.

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