Nike Scraper (All-in-One) 🏆- Cheap

Nike Scraper 💯 This scraper extracts Nike listings for a specified category (Men, Women, Kids, etc.) 👕👟, including essential details like the Product's Title, Code, Type, Colors, Currency, currect price, Initial price, Discount Percentage, Product Url, Promotion StartDate & EndDate, and "Promotion Title. You can customize the search by specifying the category and maxitems of products to fetch if you want to. Please note that, among other things, product searches can be made by: * Divisions (👶 Kids, 👩 Women, 👱‍♂️ Men, ... check the category input) - These represent target audiences. * Product Categories (🧢 Accessories, 👕 Clothing, 🥾 Shoes, ...) - Specific types of products. ## Why scrape Nike products 👞 ? Access to Exclusive Product Data and Deals 🛍️💡 🕵️ Conduct market research or analysis by price, popularity, newness, etc. Monitor Pricing Trends and Discounts in Real-Time 📉💸 Gather Insights for Market Analysis and Competitor Research 📊🔍 Automate Product Listings for E-Commerce and Retailers 🤖🛒 ## How many results can you retrieve with this Nike scraper? 📊 This Nike Scraper retrieves all available products for a given search based on the specified parameters (maxitems). 🚨 Note that the max products to scrape from the chosen category may exceed slightly 👌 ## How much does scraping Nike cost? 💰 This scraper uses a pay-per-month pricing model. You only pay for the successful results returned by the Nike Scraper. The cost is $24.99 per month. ## How to use this scraper 🧳 Getting Nike listings by product's category is easy! Just enter the desired category and max results to scrap, and the scraper will fetch the relevant data for you. ## Nike data input & output 📥📤 input : { "category": "Men (Shoes) 👞", "maxitems": 200 } The data returned by the Nike Scraper is saved in a dataset. Once the run is complete, you can download the dataset in various formats (JSON, CSV, XML, RSS, HTML Table). { "Category": "Men (Clothing) ", "Product Code": "FV8909-104", "Product Type": "APPAREL", "Product SubType": "STANDARD", "Title": "Nike ACG \"Lunar Lake\" PrimaLoft\u00ae", "SubTitle": "Men's Therma-FIT ADV Loose Hooded Jacket", "Currency": "USD", "Current Price": 350.0, "Employee Price": 210.0, "Initial Price": 350.0, "Discount Percentage": 0, "Employee Discount Percentage": 40, "Color Description": "Light Orewood Brown/Light Orewood Brown/Summit White", "Image URL": "https://static.nike.com/a/images/t_default/852db692-c64e-4bdf-a036-a449a65556f0/M+ACG+TFADV+LUNAR+LAKE+JKT.png", "Product Url": "https://www.nike.com/t/acg-lunar-lake-primaloft-mens-therma-fit-adv-loose-hooded-jacket-Rz2qzc/FV8909-104", "Badge Label": "Sustainable Materials", "Promotion Id": "25P_DPMUS677", "Promotion Title": "See Price in Bag", "Promotion StartDate": "2024-10-15T18:09:00.000Z", "Promotion EndDate": "2026-01-01T06:59:00.000Z", "Promotion Subtitle": "" } ## Other Actors 🏢 If you're interested in specific specialties, such as real estate, or travel scraping solutions, check out these related actors: - Puma Scraper (All-in-One) 🏆 - AirBNB scraper (⭐ Fast & cheap) - Rental - AirBNB reviews scraper (Fast & cheap) 📈 - Zillow (Find a Real Estate Agent) 🏡 - Zillow (Find a Property Managers) 🏢👨‍💼👩‍💼 - Zillow (Find a Home Improvement Agent) 🛠️) - Zillow (Find a Home Inspector Agent) 🔍 - Youtube Channel Scraper - Facebook Followers & Following Scraper 📊👥- Rental - Facebook Comments Scraper (All-in-One) 💬 - Facebook Comments Scraper (All-in-One) 💬 - Pay Per Results - Youtube Shorts Scraper 📺 (Rental) - Fast & cheap - YouTube Transcript Video Scraper 📝 (⚡ Fast & 💸 Cheap) - Youtube Playlist Scraper 🎵 - Rental (Fast & cheap) --- 📷 If any attribut is not displayed, it means it is not available. ## 📫 Support 🌍 We plan to add a Nike Scraper actor with the ability to select the country (US, UK, Japan, France, Spain, Canada, etc.). Depending on the selected country, the price results and currencies will be adjusted automatically to reflect local differences. If you need this, don't hesitate to contact us. For any questions or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️