The Google Shopping dataset is perfect for obtaining detailed product information worldwide. Easily filter by product title, seller, price, and other factors to find the exact data you need. The Google Shopping dataset includes key data points such as URL, product ID, title, description, rating, reviews count, images, seller name, delivery price, return policy, item price, total price, specifications, related items, and more.

Gain valuable insights into the automotive market with our comprehensive Car Prices Dataset. Designed for businesses, analysts, and researchers, this dataset provides real-time and historical car pricing data to support market analysis, pricing strategies, and trend forecasting.

Dataset Features

Vehicle Listings: Access detailed car listings, including make, model, year, trim, and specifications. Ideal for tracking market trends and pricing fluctuations. Pricing Data: Get real-time and historical car prices from multiple sources, including dealerships, marketplaces, and private sellers. Market Trends & Valuations: Analyze price changes over time, compare vehicle depreciation rates, and identify emerging pricing trends. Dealer & Seller Information: Extract seller details, including dealership names, locations, and contact information for lead generation and competitive analysis.

Customizable Subsets for Specific Needs Our Car Prices Dataset is fully customizable, allowing you to filter data based on vehicle type, location, price range, and other key attributes. Whether you need a broad dataset for market research or a focused subset for competitive analysis, we tailor the dataset to your needs.

Popular Use Cases

Market Analysis & Pricing Strategy: Track vehicle price trends, compare competitor pricing, and optimize pricing strategies for dealerships and resellers. Automotive Valuation & Depreciation Studies: Analyze historical pricing data to assess vehicle depreciation rates and predict future values. Competitive Intelligence: Monitor competitor pricing, dealership inventory, and promotional offers to stay ahead in the market. Lead Generation & Sales Optimization: Identify potential buyers and sellers, track demand for specific vehicle models, and enhance sales strategies. AI & Predictive Analytics: Leverage structured car pricing data for AI-driven forecasting, automated pricing models, and trend prediction.

Whether you're tracking car prices, analyzing market trends, or optimizing sales strategies, our Car Prices Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.

Bright and Varick Redevelopment Plan PDF is attached.

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

The Balenciaga dataset offers a comprehensive collection of data regarding products offered by the esteemed Balenciaga brand. It includes essential attributes such as product name, description, and seller information, enabling businesses and analysts to gain insights into the fashion offerings from Balenciaga. The dataset captures pricing information with attributes such as initial price, final price, and currency, allowing businesses to analyze pricing trends and evaluate the pricing strategies employed by Balenciaga. Additionally, the availability status, indicated by the "in_stock" attribute, provides valuable information for inventory management and customer service purposes.

We will create a customized hotel bookings dataset tailored to your specific requirements. Data points may include hotel names, location details, pricing information, amenity lists, guest ratings, occupancy rates, and other relevant metrics.

Utilize our hotels bookings datasets for a variety of applications to boost strategic planning and market analysis. Analyzing these datasets can help organizations understand guest preferences and market trends within the hospitality industry, allowing for more precise operational adjustments and marketing strategies. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: optimizing booking strategies, enhancing guest experience, and competitive benchmarking.

The H&M dataset offers a comprehensive collection of data regarding products offered by the popular H&M brand. It includes essential attributes such as product name, description, and seller information, enabling businesses and analysts to gain insights into the fashion offerings from H&M. The dataset captures pricing information with attributes such as initial price, final price, and currency, allowing businesses to analyze pricing trends and evaluate the pricing strategies employed by H&M.

This dataset offers a comprehensive collection of Chileautos car listings data, providing an in-depth view of the automotive market in Chile. It includes key attributes such as product URLs, brand (Marca), model (Modelo), year of manufacture (Ano), variant (Variante), mileage (Kilometraje), condition (Condicion), fuel type (Combustible), color, transmission type (Transmision), seller details (Seller1 and Seller2), information about single ownership (Unico_Dueno), product description, price, location, creation date (create_date), image URLs (Image_URL), contact phone numbers (phone1 and phone2), seller's email address, physical address (direccion), type of seller (Tipo_de_vendedor), specific locality within Chile (Comuna), number of previous owners (Propietarios), premium listing status (Premium), category, and unique posting ID (posting_id). With subsets available by car brand and model, this dataset enables businesses to access and analyze valuable automotive information tailored to their needs. Users can leverage this dataset for price comparison, inventory optimization, and customer sentiment analysis. The data can help identify competitive pricing strategies, optimize stock levels based on market demand, and understand consumer preferences and feedback. Whether you are looking to enhance your sales strategy, manage your inventory efficiently, or gain insights into customer behavior, this dataset serves as a crucial resource for driving informed decisions and staying competitive in Chile's dynamic automotive market.

Explore our comprehensive Shein US database containing a wide range of products, including fashion, electronics, home goods, and more. Gain valuable insights into product details, ratings, reviews, pricing, availability, and related information. Obtain a comprehensive overview of the Shein US database, empowering you to outshine your eCommerce and retail competitors. Our dataset contains an extensive range of products, providing detailed information and prices. Discover the major data points available in our Shein US database: Product Name Price Discount Product Description Materials Product Image SKU (Stock Keeping Unit) Low on Stock and more!

Utilize our Decathlon dataset for diverse applications to enrich business strategies and market insights. Analyzing this dataset can aid in understanding the sports and outdoor equipment industry dynamics and trends, empowering organizations to refine their product and marketing strategies. Access the entire dataset or tailor a subset to fit your requirements.

Popular use cases include pricing optimization, where organizations can define a pricing strategy and create dynamic pricing models by comparing similar products and categories among competitors. Additionally, the dataset helps in identifying gaps in product inventory, recognizing increased demand for certain sports and outdoor items, and spotting trends that are gaining popularity with consumers. Furthermore, it supports market strategy optimization by leveraging insights to analyze key sports and outdoor trends and customer preferences, enhancing overall business decision-making.

We'll tailor a Nike dataset to meet your unique needs, encompassing product details, user engagement metrics, purchasing trends, demographic data of customers, social media interactions, product ratings, and other pertinent metrics.

Leverage our Nike datasets for diverse applications to bolster strategic planning and market analysis. Scrutinizing these datasets enables organizations to grasp consumer preferences and industry trends, facilitating nuanced product selection and marketing initiatives. Customize your access to the entire dataset or specific subsets as per your business requisites.

Popular use cases involve pricing optimization by creating dynamic pricing models based on competitor comparisons, identifying gaps in product inventory and trending consumer preferences, and optimizing market strategy by analyzing key sportswear trends and customer preferences to enhance decision-making in the athletic apparel industry.