Extract Wayfair API Product Data - Web Scraping Wayfair APIs

Array ( [as_domain] => amazon.com [as_name] => Amazon.com, Inc. [asn] => AS16509 [continent] => North America [continent_code] => NA [country] => United States [country_code] => US )

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Actowiz Solutions specializes in Extract Wayfair API Product Data through advanced Web Scraping Wayfair APIs. Our expertise allows clients to scrape Wayfair 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 Wayfair API Integration and utilize the Wayfair Scraping API for comprehensive Wayfair Product Scraping, ensuring that businesses have real-time access to critical product information. Additionally, our solutions encompass the Wayfair 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.

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 Wayfair Scraping API

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

Array ( [as_domain] => amazon.com [as_name] => Amazon.com, Inc. [asn] => AS16509 [continent] => North America [continent_code] => NA [country] => United States [country_code] => US )

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