CoreClaw
Store
Pricing
Start Free Trial
yankun guo

SHEIN Single Product Extractor (URL/ID)

Pricing
Try for free
yankun guo

SHEIN Single Product Extractor (URL/ID)

yankun-guo/shein_product_particulars

A dedicated tool to extract structured detailed data for individual SHEIN products via product URL or product ID. It connects to a remote Chromium instance, automatically bypasses SHEIN's risk verification, loads the target product page, parses complete product attributes, and returns normalized data. Supports 10+ regional SHEIN sites and configurable workflow retries, ideal for product information monitoring, price tracking, competitor research, and trend analysis.

Try for Free
2,000 Free Results

You can access the Worker programmatically from your own applications using the CoreClaw API. Choose your preferred language from the options below. To get started with the CoreClaw API, you'll need a CoreClaw account and your API token — find it in the overview in your Console.

#!/usr/bin/env python3
import requests
import json
from typing import Dict, Any, Optional

# API URL
API_URL = "https://openapi.coreclaw.com/api/v1/scraper/run"

# Your API KEY
API_KEY = "<YOUR_API_KEY>"

# Curl timeout (seconds)
TIMEOUT = 30

def run_scraper(params: Dict[str, Any], api_key: str) -> Dict[str, Any]:
    headers = {
        "api-key": api_key,
        "Content-Type": "application/json"
    }

    try:
        # Send POST request
        response = requests.post(
            API_URL,
            headers=headers,
            json=params,
            timeout=TIMEOUT
        )

        # Check HTTP status code
        if response.status_code != 200:
            return {
                "success": False,
                "run_slug": None,
                "error": f"HTTP error: {response.status_code} - {response.text}"
            }

        # Parse response
        result = response.json()

        # Check business error code
        if result.get("code") != 0:
            return {
                "success": False,
                "run_slug": None,
                "error": f"Business error: {result.get("message", "Unknown error")} (code: {result.get("code")})"
            }

        # Return success result
        return {
            "success": True,
            "run_slug": result.get("data", {}).get("run_slug"),
            "error": None
        }

    except requests.exceptions.Timeout:
        return {
            "success": False,
            "run_slug": None,
            "error": f"Request timeout after {TIMEOUT} seconds"
        }
    except requests.exceptions.RequestException as e:
        return {
            "success": False,
            "run_slug": None,
            "error": f"Request error: {str(e)}"
        }
    except json.JSONDecodeError as e:
        return {
            "success": False,
            "run_slug": None,
            "error": f"JSON decode error: {str(e)}"
        }

def main():
    # Build request parameters
    request_params = {
        "scraper_slug": "01KG2DV66JTCN65ZBTRX3M456E",
        "version": "v1.0.8",
        "input": {
            "parameters": {
                "system": {
                    "proxy_region": "",
                    "cpus": 0.125,
                    "memory": 512,
                    "execute_limit_time_seconds": 1800,
                    "max_total_charge": 0,
                    "max_total_traffic": 0
                },
                "custom": {
          "value": [
                    {
                              "country": "us",
                              "flow_retry_num": 3,
                              "type": "shein_product_by-id",
                              "value": "Tween-Girls-Casual-Solid-Color-Criss-Cross-Racerback-Sports-Dress-Kids-p-423721658"
                    }
          ]
}
            }
        },
        "callback_url": "https://your-domain.com/callback"
    }

    # Send request
    print("Sending request to API...")
    result = run_scraper(request_params, API_KEY)

    # Handle result
    if result["success"]:
        print("Worker run successful!")
        print(f"Run ID: {result['run_slug']}")
        print("You can use this ID to query run status and results")
    else:
        print("Request failed!")
        print(f"Error message: {result['error']}")

if __name__ == "__main__":
    main()

Additional Resources

API Reference Documentation
Complete API documentation with all endpoints and parameters

Pricing

Failed results don't count

Rating

5.0

Developer

yankun guo

Worker Stats

142 Total runs
Success rate: 100.00%
Last updated: Jun 10, 2026

Categories

Other

Share

You might also like

Explore more popular scrapers from our marketplace

View All Scrapers
Made-in-China Supplier Intelligence Scraper | Extract Company Profiles, Contacts & Trade Data

Made-in-China Supplier Intelligence Scraper | Extract Company Profiles, Contacts & Trade Data

by mmi0cuhn

Scrape Made-in-China supplier pages and collect structured company profiles, main products, audit report numbers, trade details, certificates, shipment images, and contact information for B2B sourcing workflows.

5.0
25 runs
From $0.6/1,000 results
Quince.com Product Scraper - Prices, Discounts, Reviews & More

Quince.com Product Scraper - Prices, Discounts, Reviews & More

by Techforce Global

Search products and walk away with selling prices, retail prices, discounts, hero images, and the latest customer reviews for every product, ready to drop into your spreadsheet, dashboard, or BI tool. The Quince.com Product Scraper turns catalog into clean, structured product data in minutes.

5.0
18 runs
From $0.6/1,000 results
SHEIN Product Scraper (Keyword/Category-Driven)

SHEIN Product Scraper (Keyword/Category-Driven)

by yankun guo

A scalable tool to automatically discover, parse, and extract structured SHEIN product data through three input modes (keyword, category URL, category ID). It supports multi-regional SHEIN sites (US/UK/DE/FR, etc.), customizable sorting rules, and extraction of core product attributes (price, rating, sales volume, badges, etc.), ideal for price tracking, competitor research, trend analysis, and listing monitoring.

5.0
255 runs
From $0.6/1,000 results
Perplexity AI Answer Scraper with Sources

Perplexity AI Answer Scraper with Sources

by yankun guo

Enter questions or links,no coding required to extract full Perplexity AI answers with source citations in HTML format. Ideal for research, fact-checking and content analysis.

5.0
458 runs
From $0.6/1,000 results
View All Scrapers
CoreClaw

Deploy ready-to-use Workers to accelerate your data collection workflows.

Email: support@coreclaw.com

Resources

  • Quick Start
  • API Reference
  • Leads
  • Affiliate Program

Recommend

  • Store
  • Pricing

Address

Apex DataWorks Limited

UNIT 9, 1/F, THE CLOUD, 111 TUNG CHAU STREET, TAI KOK TSUI, KOWLOON,HONG KONG