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  • Customized solutions to fulfill data scraping goals
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Extract Asos.com API Product Data - Web Scraping Asos.com APIs

Actowiz Solutions specializes in Extract Asos.com API Product Data through advanced Web Scraping Asos.com APIs. Our expertise allows clients to scrape Asos.com product data efficiently across multiple countries, including the USA, UK, India, UAE, Japan, Italy, Germany, Canada, Australia, China, Switzerland, Qatar, Singapore, Ireland, Macao SAR, Luxembourg, Austria, Denmark, and Norway. We provide seamless Asos.com API Integration and utilize the Asos.com Scraping API for comprehensive Asos.com Product Scraping, ensuring that businesses have real-time access to critical product information. Additionally, our solutions encompass the Asos.com Order Data API, enabling clients to optimize inventory management and enhance customer experience. With our focus on ecommerce product data scraping, we empower businesses to make informed decisions based on accurate and timely data, maximizing their competitive advantage. Our commitment to ecommerce product data scraping ensures that clients stay ahead in a rapidly evolving market landscape.

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Key Features

Global-Data-Coverage

Global Data Coverage

Access product data from multiple countries effortlessly and efficiently.

Real-Time-Updates

Real-Time Updates

Receive immediate notifications on product changes and pricing fluctuations.

Customizable-Data-Extraction

Customizable Data Extraction

Tailor scraping parameters to fit specific business needs and goals.

Comprehensive-Analytics

Comprehensive Analytics

Analyze product performance and customer insights for informed decision-making.

Seamless-API-Integration

Seamless API Integration

Easily integrate with existing systems for smooth data management.

User-Friendly-Interface

User-Friendly Interface

Navigate and manage scraped data through an intuitive dashboard.

automated-reporting

Automated Reporting

Generate regular reports for tracking performance and market trends.

Robust-Data-Security

Robust Data Security

Ensure protection and confidentiality of sensitive ecommerce data at all times.

Use Cases

Real-Time Product Updates

Integrate the Asos.com API to obtain real-time updates on product listings, availability, and pricing changes seamlessly.

Real-Time-Product-Updates-01
Order-Management
Use Cases

Order Management

Utilize the Asos.com Order Data API to streamline order processing, tracking, and fulfillment for efficient e-commerce operations.

Use Cases

Sales Analytics

Leverage comprehensive API data to analyze sales performance metrics, identify trends, and drive informed strategic decision-making processes.

Sales-Analytics
Product-Recommendations
Use Cases

Product Recommendations

Use customer behavior data from the API to enhance personalized product recommendations, thereby increasing customer engagement and boosting sales.

Use Cases

Competitive Analysis

Implement the API to effectively monitor competitors’ products, pricing strategies, and market positioning for informed competitive advantage insights.

Competitive-Analysis

API Endpoints

/products

Description: Fetch detailed product information based on various criteria.

Parameteres:

keyword (string): Search term to find products.

category (string): Filter by specific product categories.

sort (string): Sorting options (e.g., price, popularity).

page (int): Pagination for large datasets.

Response: JSON object containing product name, ID, price, rating, and description.

/product/{product_id}

Description: Retrieve detailed information for a specific product using its unique ID.

Parameteres:

product_id (string): Unique ID for the product.

Response: JSON object with product details including title, price, features, and customer reviews.

/reviews

Description: Fetch customer reviews and ratings for a specific product.

Parameteres:

product_id (string): Unique ID for the product.

Response: JSON object containing reviewer names, ratings, review texts, and helpfulness votes.

/offers

Description: Retrieve current offers, discounts, and availability for a specific product.

Parameteres:

product_id (string): Unique ID for the product.

Response: JSON object with offer details, including price, discount percentages, and stock availability.

/related

Description: Get recommendations for related products based on a specific product.

Parameteres:

product_id (string): Unique ID for the product.

Response: JSON object containing a list of related product IDs and names.

/categories

Description: Retrieve a list of available product categories on Asos.com.

Response: JSON object containing category names and IDs for filtering products.

/search

Description: Search for products based on various criteria like keywords and filters.

Parameteres:

query (string): Search term to find products.

sort (string): Sorting options (e.g., price, rating).

page (int): Pagination for large datasets.

Response: JSON object with a list of products matching the search criteria.

/price-history

Description: Retrieve historical pricing data for a specific product.

Parameteres:

product_id (string): Unique ID for the product.

Response: JSON object containing price changes over time, including dates and corresponding prices.

API Response Format

All responses are returned in JSON format for easy integration into your application.

from flask import Flask, jsonify, request

app = Flask(__name__)

# Mock data for demonstration
products = {
    "1": {
        "name": "Wireless Headphones",
        "price": 59.99,
        "rating": 4.5,
        "description": "High-quality wireless headphones with noise cancellation.",
        "reviews": [
            {"name": "Alice", "rating": 5, "text": "Great sound quality!"},
            {"name": "Bob", "rating": 4, "text": "Comfortable and good battery life."}
        ],
        "offers": {"price": 49.99, "discount": 20, "available": True}
    },
    "2": {
        "name": "Bluetooth Speaker",
        "price": 29.99,
        "rating": 4.0,
        "description": "Portable Bluetooth speaker with great sound.",
        "reviews": [],
        "offers": {"price": 25.99, "discount": 13, "available": True}
    }
}

@app.route('/products', methods=['GET'])
def get_products():
    keyword = request.args.get('keyword', '')
    category = request.args.get('category', '')
    sort = request.args.get('sort', 'price')
    page = int(request.args.get('page', 1))
    
    # Filtering and sorting logic would go here (mock data only)
    
    return jsonify(products), 200

@app.route('/product/', methods=['GET'])
def get_product(product_id):
    product = products.get(product_id)
    if not product:
        return jsonify({"error": "Product not found"}), 404
    return jsonify(product), 200

@app.route('/reviews', methods=['GET'])
def get_reviews():
    product_id = request.args.get('product_id')
    product = products.get(product_id)
    if not product:
        return jsonify({"error": "Product not found"}), 404
    return jsonify(product['reviews']), 200

@app.route('/offers', methods=['GET'])
def get_offers():
    product_id = request.args.get('product_id')
    product = products.get(product_id)
    if not product:
        return jsonify({"error": "Product not found"}), 404
    return jsonify(product['offers']), 200

@app.route('/related', methods=['GET'])
def get_related():
    product_id = request.args.get('product_id')
    # Logic to find related products would go here (mock example)
    related_products = {"related": ["3", "4", "5"]}
    return jsonify(related_products), 200

@app.route('/categories', methods=['GET'])
def get_categories():
    # Mock category data
    categories = ["Electronics", "Books", "Home Appliances"]
    return jsonify(categories), 200

@app.route('/search', methods=['GET'])
def search_products():
    query = request.args.get('query', '')
    sort = request.args.get('sort', 'price')
    page = int(request.args.get('page', 1))
    
    # Mock response for search (replace with actual search logic)
    search_results = {"results": products}
    return jsonify(search_results), 200

@app.route('/price-history', methods=['GET'])
def get_price_history():
    product_id = request.args.get('product_id')
    # Mock price history data
    price_history = [
        {"date": "2024-01-01", "price": 59.99},
        {"date": "2024-02-01", "price": 49.99},
    ]
    return jsonify(price_history), 200

if __name__ == '__main__':
    app.run(debug=True)

Optimize Product Data with Our Asos.com Scraping API

Optimize your product data with our Asos.com Scraping API designed for seamless Asos.com API Integration. Our solution enables you to scrape Asos.com product data efficiently, providing accurate and comprehensive insights into product listings, pricing, and availability. With advanced features like Asos.com Product Scraping and Asos.com Customer Reviews Scraping, you can enhance your competitive edge and make informed decisions. Leverage the Asos.com Product Data API for real-time data retrieval, ensuring your inventory management is always up-to-date. Our Asos.com Order Data API streamlines order processing, while Automated Asos.com Data Extraction simplifies the entire data collection process, saving you valuable time and resources.

Optimize-Product-Data-with-Our-Scraping-API

Maximize your competitive advantage with our Asos.com Scraping API—Start your data journey now!

Start Your Project with Us

Whatever your project size is, we will handle it well with all the standards fulfilled! We are here to give 100% satisfaction.

  • Any feature, you ask, we develop
  • 24x7 support worldwide
  • Real-time performance dashboard
  • Complete transparency
  • Dedicated account manager
  • Customized solutions to fulfill data scraping goals