100+ datasets found
  1. d

    Ecommerce Data - Product data, Seller data, Market data, Pricing data|...

    • datarade.ai
    Updated Jan 29, 2024
    + more versions
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    APISCRAPY (2024). Ecommerce Data - Product data, Seller data, Market data, Pricing data| Scrape all publicly available eCommerce data| 50% Cost Saving | Free Sample [Dataset]. https://datarade.ai/data-products/apiscrapy-mobile-app-data-api-scraping-service-app-intel-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 29, 2024
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Norway, Isle of Man, Ukraine, Switzerland, Malta, Bosnia and Herzegovina, United States of America, China, Åland Islands, Spain
    Description

    Note:- Only publicly available data can be worked upon

    In today's ever-evolving Ecommerce landscape, success hinges on the ability to harness the power of data. APISCRAPY is your strategic ally, dedicated to providing a comprehensive solution for extracting critical Ecommerce data, including Ecommerce market data, Ecommerce product data, and Ecommerce datasets. With the Ecommerce arena being more competitive than ever, having a data-driven approach is no longer a luxury but a necessity.

    APISCRAPY's forte lies in its ability to unearth valuable Ecommerce market data. We recognize that understanding the market dynamics, trends, and fluctuations is essential for making informed decisions.

    APISCRAPY's AI-driven ecommerce data scraping service presents several advantages for individuals and businesses seeking comprehensive insights into the ecommerce market. Here are key benefits associated with their advanced data extraction technology:

    1. Ecommerce Product Data: APISCRAPY's AI-driven approach ensures the extraction of detailed Ecommerce Product Data, including product specifications, images, and pricing information. This comprehensive data is valuable for market analysis and strategic decision-making.

    2. Data Customization: APISCRAPY enables users to customize the data extraction process, ensuring that the extracted ecommerce data aligns precisely with their informational needs. This customization option adds versatility to the service.

    3. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can obtain relevant ecommerce data swiftly and consistently.

    4. Realtime Insights: Businesses can gain real-time insights into the dynamic Ecommerce Market by accessing rapidly extracted data. This real-time information is crucial for staying ahead of market trends and making timely adjustments to business strategies.

    5. Scalability: The technology behind APISCRAPY allows scalable extraction of ecommerce data from various sources, accommodating evolving data needs and handling increased volumes effortlessly.

    Beyond the broader market, a deeper dive into specific products can provide invaluable insights. APISCRAPY excels in collecting Ecommerce product data, enabling businesses to analyze product performance, pricing strategies, and customer reviews.

    To navigate the complexities of the Ecommerce world, you need access to robust datasets. APISCRAPY's commitment to providing comprehensive Ecommerce datasets ensures businesses have the raw materials required for effective decision-making.

    Our primary focus is on Amazon data, offering businesses a wealth of information to optimize their Amazon presence. By doing so, we empower our clients to refine their strategies, enhance their products, and make data-backed decisions.

    [Tags: Ecommerce data, Ecommerce Data Sample, Ecommerce Product Data, Ecommerce Datasets, Ecommerce market data, Ecommerce Market Datasets, Ecommerce Sales data, Ecommerce Data API, Amazon Ecommerce API, Ecommerce scraper, Ecommerce Web Scraping, Ecommerce Data Extraction, Ecommerce Crawler, Ecommerce data scraping, Amazon Data, Ecommerce web data]

  2. theLook eCommerce

    • console.cloud.google.com
    Updated Nov 28, 2022
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    https://console.cloud.google.com/marketplace/browse?filter=partner:BigQuery%20Public%20Data&inv=1&invt=Ab2Y8Q (2022). theLook eCommerce [Dataset]. https://console.cloud.google.com/marketplace/product/bigquery-public-data/thelook-ecommerce
    Explore at:
    Dataset updated
    Nov 28, 2022
    Dataset provided by
    Googlehttp://google.com/
    BigQueryhttps://cloud.google.com/bigquery
    Description

    TheLook is a fictitious eCommerce clothing site developed by the Looker team. The dataset contains information about customers, products, orders, logistics, web events and digital marketing campaigns. The contents of this dataset are synthetic, and are provided to industry practitioners for the purpose of product discovery, testing, and evaluation. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets.What is BigQuery .

  3. c

    Zoro Product Data Sample – Structured E-commerce Dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 27, 2025
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    Crawl Feeds (2025). Zoro Product Data Sample – Structured E-commerce Dataset [Dataset]. https://crawlfeeds.com/datasets/zoro-product-data-sample-structured-e-commerce-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Zoro.com Product Data Sample – Explore Structured E-commerce Product Listings

    This dataset is a sample extraction of product listings from Zoro.com, a leading industrial supply e-commerce platform. It provides structured product-level data that can be used for market research, price comparison engines, product matching models, and e-commerce analytics.

    The sample includes a variety of products across tools, hardware, safety equipment, and industrial supplies — with clean, structured fields suitable for both analysis and model training.

    Also available: Grainger Product Datasets – structured data from a top industrial supplier.

    Submit your custom data requests via the Zoro products page or contact us directly at contact@crawlfeeds.com.

    Ideal for previewing before requesting larger or full Zoro datasets

    Use Cases:

    • Building product comparison or search engines

    • Price intelligence and competitor monitoring

    • Product classification and attribute extraction

    • Training data for e-commerce AI models

    Want More?

    This is a sample of a much larger dataset extracted from Zoro.com.
    👉 Contact us to access full datasets or request custom category extractions.

  4. d

    Chain of Demand: Detailed e-commerce product data (US, EU, UAE and Asia...

    • datarade.ai
    .csv, .xls
    Updated Apr 5, 2021
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    Chain of Demand (2021). Chain of Demand: Detailed e-commerce product data (US, EU, UAE and Asia markets) [Dataset]. https://datarade.ai/data-products/chain-of-demand-s-retail-industry-product-detail-data-two-years-of-history-chain-of-demand
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Apr 5, 2021
    Dataset authored and provided by
    Chain of Demand
    Area covered
    United States
    Description

    We custom build crawlers to mine detailed product data from e-commerce sites and m-Commerce apps. Our customers typically use our data to understand how a business is performing, by looking at estimated GMVs, top-selling products, and average selling price etc. We can deliver the required data on weekly/monthly/quarterly bases, and output formats include csv/excel files, pdf reports, and direct data feeds via APIs.

  5. c

    John Lewis and Partners e-commerce products dataset

    • crawlfeeds.com
    xlsx, zip
    Updated Feb 28, 2025
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    Crawl Feeds (2025). John Lewis and Partners e-commerce products dataset [Dataset]. https://crawlfeeds.com/datasets/john-lewis-partners-e-commerce-products-dataset
    Explore at:
    zip, xlsxAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Explore our comprehensive dataset of John Lewis and Partners e-commerce products, designed to provide valuable insights for data analysts, researchers, and businesses.

    This dataset includes detailed product information such as names, descriptions, prices, categories, and images, making it ideal for market analysis, competitive research, and machine learning projects.

    With structured and high-quality data, you can enhance your data-driven decisions and strategies effectively. Unlock the potential of John Lewis and Partners’ product data to stay ahead in the competitive e-commerce landscape.

    Data format: XLSX

  6. Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles...

    • datarade.ai
    Updated Jan 1, 2018
    + more versions
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    Success.ai (2018). Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles with Key Insights | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-store-data-apac-e-commerce-sector-verified-busi-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Mexico, Lao People's Democratic Republic, Andorra, Canada, Fiji, Malta, Korea (Democratic People's Republic of), Italy, Northern Mariana Islands, Austria
    Description

    Success.ai’s Ecommerce Store Data for the APAC E-commerce Sector provides a reliable and accurate dataset tailored for businesses aiming to connect with e-commerce professionals and organizations across the Asia-Pacific region. Covering roles and businesses involved in online retail, marketplace management, logistics, and digital commerce, this dataset includes verified business profiles, decision-maker contact details, and actionable insights.

    With access to continuously updated, AI-validated data and over 700 million global profiles, Success.ai ensures your outreach, market analysis, and partnership strategies are effective and data-driven. Backed by our Best Price Guarantee, this solution helps you excel in one of the world’s fastest-growing e-commerce markets.

    Why Choose Success.ai’s Ecommerce Store Data?

    1. Verified Profiles for Precision Engagement

      • Access verified profiles, business locations, employee counts, and decision-maker details for e-commerce businesses across APAC.
      • AI-driven validation ensures 99% accuracy, improving engagement rates and reducing outreach inefficiencies.
    2. Comprehensive Coverage of the APAC E-commerce Sector

      • Includes businesses from major e-commerce hubs such as China, India, Japan, South Korea, Australia, and Southeast Asia.
      • Gain insights into regional e-commerce trends, digital transformation efforts, and logistics innovations.
    3. Continuously Updated Datasets

      • Real-time updates ensure that business profiles, employee roles, and operational insights remain accurate and relevant.
      • Stay aligned with dynamic market conditions and emerging opportunities in the APAC region.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

    Data Highlights:

    • 700M+ Verified Global Profiles: Access business profiles for e-commerce professionals and organizations across APAC.
    • Firmographic Insights: Gain detailed information, including business locations, employee counts, and operational details.
    • Decision-maker Profiles: Connect with key e-commerce leaders, managers, and strategists driving online retail innovation.
    • Industry Trends: Understand emerging e-commerce trends, consumer behavior, and market dynamics in the APAC region.

    Key Features of the Dataset:

    1. Comprehensive E-commerce Business Profiles

      • Identify and connect with businesses specializing in online retail, marketplace management, and digital commerce logistics.
      • Target decision-makers involved in supply chain optimization, digital marketing, and platform development.
    2. Advanced Filters for Precision Campaigns

      • Filter businesses and professionals by industry focus (fashion, electronics, grocery), geographic location, or employee size.
      • Tailor campaigns to address specific goals, such as promoting technology adoption, enhancing customer engagement, or expanding supply chains.
    3. Regional and Sector-specific Insights

      • Leverage data on APAC’s fast-growing e-commerce markets, consumer purchasing trends, and regional challenges.
      • Refine your marketing strategies and outreach efforts to align with market priorities.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Outreach

      • Promote e-commerce solutions, logistics services, or digital commerce tools to businesses and professionals in the APAC region.
      • Use verified contact data for multi-channel outreach, including email, phone, and social media campaigns.
    2. Partnership Development and Vendor Collaboration

      • Build relationships with e-commerce marketplaces, logistics providers, and payment solution companies seeking strategic partnerships.
      • Foster collaborations that drive operational efficiency, enhance customer experiences, or expand market reach.
    3. Market Research and Competitive Analysis

      • Analyze regional e-commerce trends, consumer preferences, and logistics challenges to refine product offerings and business strategies.
      • Benchmark against competitors to identify growth opportunities and high-demand solutions.
    4. Recruitment and Talent Acquisition

      • Target HR professionals and hiring managers in the e-commerce industry recruiting for roles in operations, logistics, and digital marketing.
      • Provide workforce optimization platforms or training solutions tailored to the digital commerce sector.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality e-commerce store data at competitive prices, ensuring strong ROI for your marketing, sales, and strategic initiatives.
    2. Seamless Integration

      • Integrate verified e-commerce data into CRM systems, analytics platforms, or market...
  7. c

    Waitrose Products Information Dataset in CSV Format - Comprehensive Product...

    • crawlfeeds.com
    csv, zip
    Updated Jun 7, 2025
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    Crawl Feeds (2025). Waitrose Products Information Dataset in CSV Format - Comprehensive Product Data [Dataset]. https://crawlfeeds.com/datasets/waitrose-products-information-dataset-in-csv-format-comprehensive-product-data
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 7, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    The Waitrose Product Dataset offers a comprehensive and structured collection of grocery items listed on the Waitrose online platform. This dataset includes 25,000+ product records across multiple categories, curated specifically for use in retail analytics, pricing comparison, AI training, and eCommerce integration.

    Each record contains detailed attributes such as:

    • Product title, brand, MPN, and product ID

    • Price and currency

    • Availability status

    • Description, ingredients, and raw nutrition data

    • Review count and average rating

    • Breadcrumbs, image links, and more

    Delivered in CSV format (ZIP archive), this dataset is ideal for professionals in the FMCG, retail, and grocery tech industries who need structured, crawl-ready data for their projects.

  8. d

    E-commerce data sources & analytics

    • datarade.ai
    .json, .csv, .xls
    Updated Oct 18, 2022
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    Forloop.ai (2022). E-commerce data sources & analytics [Dataset]. https://datarade.ai/data-products/e-commerce-data-sources-analytics-forloop-ai
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Oct 18, 2022
    Dataset provided by
    Forloop.ai
    Area covered
    New Zealand, Aruba, Thailand, Canada, Bulgaria, Montenegro, Guernsey, French Guiana, Antarctica, Equatorial Guinea
    Description

    Maximize your online sales potential with our e-commerce data and analytics solutions. Our comprehensive suite of data sources includes real-time information on market trends, consumer behavior, and product pricing. With our advanced analytics tools, you can unlock the power of data-driven insights to optimize your online sales strategy, improve customer engagement, and drive revenue growth.

    Whether you want to identify new opportunities, streamline your operations, or stay ahead of the competition, our e-commerce data and analytics product can help you achieve your goals.

    Sources: Cubus Official COS Boozt BIK BOK AS Royal Design Group Holding AB Bagaren och Kocken AB Rum21 Svenskt Tenn Kökets favoriter lannamobler.se KWA Garden furniture Confident Living Stalands Möbler Trendrum AB Svenssons Nordiska Galleriet Jotex Jollyroom Monki New Bubbleroom Sweden AB Wegot KitchenTime AB Lindex NA-KD.com Olsson & Gerthel Nordic Nest Bonprix Nederland Vero Moda Care of Carl Cervera Zoovillage ARKET Kappahl DesignTorget Mio AB Afound

  9. Product Catalog Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Apr 22, 2024
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    Bright Data (2024). Product Catalog Dataset [Dataset]. https://brightdata.com/products/datasets/product-catalog
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Apr 22, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    The Product Catalog Data provides a comprehensive overview of products across various categories. This dataset includes detailed product titles, descriptions, barcodes, category-specific attributes, weight, measurements, and imagery. It's tailored for marketplaces, eCommerce sites, and data analysts who require in-depth product information to enhance user experience, SEO, and product categorization.

    Popular Attributes:

    ✔ Detailed product information

    ✔ High-quality imagery

    ✔ Extensive attribute coverage

    ✔ Ideal for UX and SEO optimization

    ✔ Comprehensive product categorization

    Key Information:

    Rich dataset with 30+ attributes per product

    Pricing: Flexible subscription models

    Update Frequency: Daily updates

    Coverage: Global and specific markets

    Historical Data: 12 Months +

  10. h

    asos-e-commerce-dataset

    • huggingface.co
    Updated Mar 11, 2023
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    Training Data (2023). asos-e-commerce-dataset [Dataset]. https://huggingface.co/datasets/TrainingDataPro/asos-e-commerce-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 11, 2023
    Authors
    Training Data
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Asos

    Using web scraping, we collected information on over 30,845 clothing items from the Asos website. The dataset can be applied in E-commerce analytics in the fashion industry. The dataset is similar to SheIn E-Commerce Dataset.

      💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on TrainingData to buy the dataset
    
    
    
    
    
    
      Dataset Info
    

    For each item, we extracted:

    url - link to the item on the… See the full description on the dataset page: https://huggingface.co/datasets/TrainingDataPro/asos-e-commerce-dataset.

  11. Product and Price Data, Product Reviews Data from Google Shopping |...

    • datastore.openwebninja.com
    Updated Dec 12, 2023
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    OpenWeb Ninja (2023). Product and Price Data, Product Reviews Data from Google Shopping | Ecommerce Data | Real-Time API [Dataset]. https://datastore.openwebninja.com/products/openweb-ninja-product-data-product-reviews-data-more-fro-openweb-ninja
    Explore at:
    Dataset updated
    Dec 12, 2023
    Dataset provided by
    Authors
    OpenWeb Ninja
    Area covered
    Anguilla, Namibia, Saint Kitts and Nevis, Kazakhstan, Sri Lanka, Bouvet Island, Marshall Islands, Azerbaijan, Congo, Åland Islands
    Description

    Fast and Reliable real-time API access to Product Data with 35B+ Product Listings, including extensive Product Details, Product Reviews Data, all Product Offers, and more, from Google Shopping - the largest product aggregate on the web.

  12. d

    Ecommerce Data | Store Location Data | Global Coverage | 61M+ Contacts |...

    • datarade.ai
    Updated Jan 24, 2024
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    Exellius Systems (2024). Ecommerce Data | Store Location Data | Global Coverage | 61M+ Contacts | (Verified E-mail, Direct Dails)| Decision Makers Contacts| 20+ Attributes [Dataset]. https://datarade.ai/data-products/ecommerce-data-ecommerce-store-data-global-coverage-200-exellius-systems
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 24, 2024
    Dataset authored and provided by
    Exellius Systems
    Area covered
    Lithuania, Spain, Saint Vincent and the Grenadines, Heard Island and McDonald Islands, Gabon, Jersey, Seychelles, Namibia, Congo (Democratic Republic of the), Iran (Islamic Republic of)
    Description

    Revolutionize Customer Engagement with Our Comprehensive Ecommerce Data

    Our Ecommerce Data is designed to elevate your customer engagement strategies, providing you with unparalleled insights and precision targeting capabilities. With over 61 million global contacts, this dataset goes beyond conventional data, offering a unique blend of shopping cart links, business emails, phone numbers, and LinkedIn profiles. This comprehensive approach ensures that your marketing strategies are not just effective but also highly personalized, enabling you to connect with your audience on a deeper level.

    What Makes Our Ecommerce Data Stand Out?

    • Unique Features for Enhanced Targeting
      Our Ecommerce Data is distinguished by its depth and precision. Unlike many other datasets, it includes shopping cart links—a rare and valuable feature that provides you with direct insights into consumer behavior and purchasing intent. This information allows you to tailor your marketing efforts with unprecedented accuracy. Additionally, the integration of business emails, phone numbers, and LinkedIn profiles adds multiple layers to traditional contact data, enriching your understanding of clients and enabling more personalized engagement.

    • Robust and Reliable Data Sourcing
      We pride ourselves on our dual-sourcing strategy that ensures the highest levels of data accuracy and relevance:

      • Real-Time Information from 10 Active Publication Sites: Our databases are continuously updated with the latest information, sourced from ten active publication sites that provide real-time data.
      • Dedicated Contact Discovery Team: Complementing our automated sources, our dedicated Contact Discovery Team conducts thorough research and investigations, ensuring that every piece of data is accurate and reliable. This two-pronged approach guarantees that our Ecommerce Data is both up-to-date and relevant, providing you with a solid foundation for your business strategies.

      Primary Use Cases Across Industries

    Our Ecommerce Data is versatile and can be leveraged across various industries for multiple applications: - Precision Targeting in Marketing: Create personalized marketing campaigns based on detailed shopping cart activities, ensuring that your outreach resonates with individual customer preferences. - Sales Enrichment: Sales teams can benefit from enriched client profiles that include comprehensive contact information, enabling them to connect with key decision-makers more effectively. - Market Research and Analytics: Research and analytics departments can use this data for in-depth market studies and trend analyses, gaining valuable insights into consumer behavior and market dynamics.

    Global Coverage for Comprehensive Engagement

    Our Ecommerce Data spans across the globe, providing you with extensive reach and the ability to engage with customers in diverse regions: - North America: United States, Canada, Mexico - Europe: United Kingdom, Germany, France, Italy, Spain, Netherlands, Sweden, and more - Asia: China, Japan, India, South Korea, Singapore, Malaysia, and more - South America: Brazil, Argentina, Chile, Colombia, and more - Africa: South Africa, Nigeria, Kenya, Egypt, and more - Australia and Oceania: Australia, New Zealand - Middle East: United Arab Emirates, Saudi Arabia, Israel, Qatar, and more

    Comprehensive Employee and Revenue Size Information

    Our dataset also includes detailed information on: - Employee Size: Whether you’re targeting small businesses or large corporations, our data covers all employee sizes, from startups to global enterprises. - Revenue Size: Gain insights into companies across various revenue brackets, enabling you to segment the market more effectively and target your efforts where they will have the most impact.

    Seamless Integration into Broader Data Offerings

    Our Ecommerce Data is not just a standalone product; it is a critical piece of our broader data ecosystem. It seamlessly integrates with our comprehensive suite of business and consumer datasets, offering you a holistic approach to data-driven decision-making: - Tailored Packages: Choose customized data packages that meet your specific business needs, combining Ecommerce Data with other relevant datasets for a complete view of your market. - Holistic Insights: Whether you are looking for industry-specific details or a broader market overview, our integrated data solutions provide you with the insights necessary to stay ahead of the competition and make informed business decisions.

    Elevate Your Business Decisions with Our Ecommerce Data

    In essence, our Ecommerce Data is more than just a collection of contacts—it’s a strategic tool designed to give you a competitive edge in understanding and engaging your target audience. By leveraging the power of this comprehensive dataset, you can elevate your business decisions, enhance customer interactions, and navigate the digital landscape with confi...

  13. c

    Zara UK Products Dataset - Complete Fashion E-commerce Data

    • crawlfeeds.com
    csv, zip
    Updated Jul 17, 2025
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    Crawl Feeds (2025). Zara UK Products Dataset - Complete Fashion E-commerce Data [Dataset]. https://crawlfeeds.com/datasets/zara-uk-products-dataset-complete-fashion-e-commerce-data
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Area covered
    United Kingdom
    Description

    16,000 Zara UK Fashion Products in CSV Format

    Unlock fashion retail intelligence with our comprehensive Zara UK products dataset. This premium collection contains 16,000 products from Zara's UK online store, providing detailed insights into one of the world's leading fast-fashion retailers. Perfect for fashion trend analysis, pricing strategies, competitive research, and machine learning applications.

    Dataset Overview

    • Language: English
    • Coverage: Men's, women's, and children's fashion
    • File Size: ~30MB
    • Data Freshness: Recently collected (2025)

    Complete Data Fields Included

    Product Information

    • name: Complete product titles and descriptions
    • brand: Brand identification (Zara)
    • category: Product categories (tops, bottoms, dresses, accessories)
    • description: Detailed item descriptions and features
    • composition: Fabric composition and material details
    • breadcrumbs: Navigation path and product hierarchy

    Pricing and Promotions

    • price: Current prices in GBP
    • old_price: Original prices before discounts
    • discount: Discount percentages and savings
    • promotions: Active promotional campaigns
    • currency: GBP for UK market analysis

    Product Attributes

    • color: Available color variations
    • sizes: Size ranges and availability
    • images: High-resolution product image URLs
    • url: Direct product page links

    Technical Fields

    • uniq_id: Unique product identifiers
    • scraped_at: Data collection timestamps

    Key Use Cases

    Fashion Trend Analysis

    • Track seasonal trends and popular styles
    • Analyze color preferences and combinations
    • Monitor fashion trend evolution
    • Predict upcoming fashion movements

    Competitive Intelligence

    • Study Zara's pricing strategies
    • Analyze product mix and category focus
    • Monitor inventory and availability patterns
    • Compare market positioning

    E-commerce Analytics

    • Category performance analysis
    • Price optimization strategies
    • Inventory planning insights
    • Customer preference mapping

    Machine Learning Applications

    • Fashion recommendation systems
    • Price prediction models
    • Trend forecasting algorithms
    • Image recognition training data

    Data Quality Features

    • Clean, Validated Data: Pre-processed and error-checked
    • Consistent Formatting: Standardized structure across records
    • No Duplicates: Unique products only
    • Complete Coverage: Entire Zara UK catalog included
    • Fresh Collection: Recently scraped for current relevance

    Target Industries

    Fashion Retailers

    • Competitive benchmarking
    • Trend adoption strategies
    • Pricing optimization
    • Product development insights

    Technology Companies

    • AI training datasets
    • Fashion analytics platforms
    • E-commerce enhancement
    • Style recommendation engines

    Market Research

    • Industry analysis reports
    • Brand performance tracking
    • Consumer behavior studies
    • Trend forecasting services

    Academic Research

    • Fashion industry studies
    • Business case studies
    • Data science applications
    • Sustainability research

    Licensing Options

    Commercial License

    • Full business usage rights
    • Team sharing permissions
    • Resale of processed insights
    • API integration allowed

    Academic License

    • Non-commercial research use
    • Educational institution sharing
    • Publication rights included
    • Discounted pricing available

    Delivery Methods

    • Instant

  14. c

    Vision Competitor Intelligence & Analysis | Retail Data & Ecommerce Product...

    • dataproducts.consumeredge.com
    + more versions
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    Consumer Edge, Vision Competitor Intelligence & Analysis | Retail Data & Ecommerce Product Data | US Commerce Transaction Data | 100M+ Cards, 12K+ Merchants [Dataset]. https://dataproducts.consumeredge.com/products/consumer-edge-vision-competitor-intelligence-analysis-ret-consumer-edge
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    Dataset authored and provided by
    Consumer Edge
    Area covered
    United States
    Description

    CE Vision USA is the premier data set tracking consumer spend on credit and debit cards. Private investors and corporate clients use CE Vision retail commerce data for competitor analysis, market share, cross-shopping, demographics, and market share data by industry and channel.

  15. Amazon Data, Product Data, Product Reviews, Best Sellers & Deals + More |...

    • datastore.openwebninja.com
    Updated Apr 3, 2024
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    OpenWeb Ninja (2024). Amazon Data, Product Data, Product Reviews, Best Sellers & Deals + More | E-Commerce Data | Real-Time API [Dataset]. https://datastore.openwebninja.com/products/openweb-ninja-amazon-data-product-data-product-reviews-d-openweb-ninja
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    Dataset updated
    Apr 3, 2024
    Dataset provided by
    Authors
    OpenWeb Ninja
    Area covered
    China, Poland, South Africa, Mexico, United States, Türkiye, Netherlands, Saudi Arabia, Australia, Spain
    Description

    Fast and Reliable real-time API access to Amazon Data with 300M+ Product Listings, including extensive Product Details, Product Reviews, All Product Offers, Amazon Best Sellers, Deals, ASIN to GTIN/EAN conversion, and more.

  16. f

    Shop Your Way | Marketplace Data | Ecommerce Data

    • datastore.forage.ai
    Updated Sep 20, 2024
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    (2024). Shop Your Way | Marketplace Data | Ecommerce Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=ecommerce
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    Dataset updated
    Sep 20, 2024
    Description

    Shop Your Way is a leading digital platform that offers a wide range of products and services to consumers. As a major player in the e-commerce industry, the company has established itself as a go-to destination for customers seeking a diverse range of goods and services. Shop Your Way's extensive product catalog includes items such as fashion apparel, home goods, electronics, and more.

    With a strong presence in the market, Shop Your Way has built a reputation for providing high-quality products and services to its customers. The company's commitment to excellence has earned it a loyal customer base, and its website receives a significant amount of traffic daily.

  17. Display of recently viewed products on fashion e-commerce sites in Australia...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Display of recently viewed products on fashion e-commerce sites in Australia 2021 [Dataset]. https://www.statista.com/statistics/1269531/australia-recently-viewed-products-on-e-commerce-sites/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 10, 2021 - Jun 22, 2021
    Area covered
    Australia
    Description

    In 2021, a review of the online browsing experience on e-commerce fashion sites showed that ** percent of the websites surveyed did not have a recently viewed products function. overall just ** percent of the websites has recently viewed product data on more than one page.

  18. Product and Price Data, Product Reviews Data from Google Shopping |...

    • datarade.ai
    .json, .csv
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    OpenWeb Ninja, Product and Price Data, Product Reviews Data from Google Shopping | Ecommerce Data | Real-Time API [Dataset]. https://datarade.ai/data-products/openweb-ninja-product-data-product-reviews-data-more-fro-openweb-ninja
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    .json, .csvAvailable download formats
    Dataset provided by
    Authors
    OpenWeb Ninja
    Area covered
    Kosovo, Taiwan, Martinique, Réunion, Yemen, Libya, Mexico, Namibia, Guinea, Nigeria
    Description

    OpenWeb Ninja's Product Data API provides Product Data, Product Reviews Data, Product Offers, sourced in real-time from Google Shopping - the largest product listings aggregate on the web, listing products from all publicly available e-commerce sites (Amazon, eBay, Walmart + many others).

    The API covers more than 35 billion Product Data Listings, including Product Reviews and Product Offers across the web. The API provides over 40 product data points including prices, rating and reviews insights, product details and specs, typical price ranges, and more.

    OpenWeb Ninja's Product Data common use cases: - Price Optimization & Price Comparison - Market Research & Competitive Analysis - Product Research & Trend Analysis - Customer Reviews Analysis

    OpenWeb Ninja's Product Data Stats & Capabilities: - 35B+ Product Listings - 40+ data points per job listing - Global aggregate - Search by keyword or GTIN/EAN

  19. Ecommerce Market Data | South-east Asia E-commerce Contacts | 170M Profiles...

    • datarade.ai
    + more versions
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    Success.ai, Ecommerce Market Data | South-east Asia E-commerce Contacts | 170M Profiles | Verified Accuracy | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-market-data-south-east-asia-e-commerce-contacts-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Yemen, Timor-Leste, Iraq, Philippines, Syrian Arab Republic, Nepal, Qatar, Israel, Sri Lanka, Lebanon, South East Asia
    Description

    Success.ai’s Ecommerce Market Data for South-east Asia E-commerce Contacts provides a robust and accurate dataset tailored for businesses and organizations looking to connect with professionals in the fast-growing e-commerce industry across South-east Asia. Covering roles such as e-commerce managers, digital strategists, logistics experts, and online marketplace leaders, this dataset offers verified contact details, professional insights, and actionable market data.

    With access to over 170 million verified profiles globally, Success.ai ensures your outreach, marketing, and research strategies are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in one of the world’s most dynamic e-commerce regions.

    Why Choose Success.ai’s Ecommerce Market Data?

    1. Verified Contact Data for Precision Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of e-commerce professionals across South-east Asia.
      • AI-driven validation ensures 99% accuracy, reducing communication inefficiencies and enhancing engagement rates.
    2. Comprehensive Coverage of South-east Asia’s E-commerce Market

      • Includes professionals from key e-commerce hubs such as Singapore, Indonesia, Thailand, Vietnam, Malaysia, and the Philippines.
      • Gain insights into regional consumer trends, logistics challenges, and online marketplace dynamics.
    3. Continuously Updated Datasets

      • Real-time updates capture changes in professional roles, company expansions, and market conditions.
      • Stay aligned with industry trends and emerging opportunities in South-east Asia’s e-commerce sector.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

    Data Highlights:

    • 170M+ Verified Global Profiles: Engage with e-commerce professionals and decision-makers across South-east Asia.
    • Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for precision targeting.
    • Regional Insights: Understand key trends in e-commerce, logistics, and consumer preferences in South-east Asia.
    • Leadership Insights: Connect with online marketplace leaders, logistics managers, and digital marketing professionals driving innovation in the sector.

    Key Features of the Dataset:

    1. Comprehensive Professional Profiles in E-commerce

      • Identify and connect with professionals managing e-commerce platforms, online marketplaces, and logistics operations.
      • Target individuals responsible for digital marketing, supply chain management, and e-commerce strategies.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (apparel, electronics, food delivery), geographic location, or job function.
      • Tailor campaigns to align with specific business goals, such as logistics optimization, consumer engagement, or market entry.
    3. Regional and Market-specific Insights

      • Leverage data on e-commerce trends, regional consumer behaviors, and logistics challenges unique to South-east Asia.
      • Refine marketing strategies and business plans based on actionable insights from the region.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Digital Outreach

      • Promote e-commerce solutions, logistics services, or online marketing tools to professionals in South-east Asia’s e-commerce industry.
      • Use verified contact data for multi-channel outreach, including email, phone, and digital campaigns.
    2. Market Research and Competitive Analysis

      • Analyze e-commerce trends and consumer preferences across South-east Asia to refine product offerings and marketing strategies.
      • Benchmark against competitors to identify growth opportunities and high-demand solutions.
    3. Partnership Development and Vendor Collaboration

      • Build relationships with e-commerce platforms, logistics providers, and digital marketing agencies exploring strategic partnerships.
      • Foster collaborations that enhance consumer experiences, improve delivery efficiency, or expand market reach.
    4. Recruitment and Talent Acquisition

      • Target HR professionals and hiring managers in the e-commerce industry seeking candidates for logistics, digital marketing, and platform management roles.
      • Provide workforce optimization platforms or training solutions tailored to the sector.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality e-commerce market data at competitive prices, ensuring strong ROI for your marketing, sales, and business development initiatives.
    2. Seamless Integration

      • Integrate verified e-commerce data into CRM systems, analytics ...
  20. e

    eCommerce Aggregator Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 2, 2025
    + more versions
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    Market Report Analytics (2025). eCommerce Aggregator Report [Dataset]. https://www.marketreportanalytics.com/reports/ecommerce-aggregator-53676
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The eCommerce aggregator market is experiencing robust growth, driven by the increasing preference for online shopping and the desire for a streamlined, comparison-based purchasing experience. Consumers benefit from aggregated product listings, competitive pricing comparisons, and simplified checkout processes, leading to increased adoption. The market's Compound Annual Growth Rate (CAGR) is estimated at 15%, indicating significant expansion potential. This growth is fueled by several key trends, including the rise of mobile commerce, the increasing sophistication of aggregator platforms (offering features like personalized recommendations and advanced search filters), and the expanding integration with social media for product discovery. While challenges exist, such as maintaining data accuracy across multiple retail sources and navigating intense competition among aggregators, the overall market outlook remains positive. Significant investment in technology and strategic partnerships with retailers are key strategies for success in this rapidly evolving landscape. Market segmentation reveals strong growth in specific application areas, such as travel and electronics, likely fueled by high consumer demand and readily available product data. Similarly, the market is seeing traction in specific aggregator types, such as those specializing in price comparison or those offering curated product selections tailored to niche demographics. Regional variations exist, with North America and Europe currently holding significant market shares due to established e-commerce infrastructure and high consumer spending. However, Asia-Pacific is projected to experience the fastest growth, driven by rising internet penetration and expanding middle classes in countries like India and China. The continued focus on improving user experience, enhancing data analytics capabilities, and expanding international reach will be crucial factors shaping the competitive landscape in the years ahead. The forecast period of 2025-2033 promises significant growth opportunities for both established players and new entrants.

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APISCRAPY (2024). Ecommerce Data - Product data, Seller data, Market data, Pricing data| Scrape all publicly available eCommerce data| 50% Cost Saving | Free Sample [Dataset]. https://datarade.ai/data-products/apiscrapy-mobile-app-data-api-scraping-service-app-intel-apiscrapy

Ecommerce Data - Product data, Seller data, Market data, Pricing data| Scrape all publicly available eCommerce data| 50% Cost Saving | Free Sample

Explore at:
.bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset updated
Jan 29, 2024
Dataset authored and provided by
APISCRAPY
Area covered
Norway, Isle of Man, Ukraine, Switzerland, Malta, Bosnia and Herzegovina, United States of America, China, Åland Islands, Spain
Description

Note:- Only publicly available data can be worked upon

In today's ever-evolving Ecommerce landscape, success hinges on the ability to harness the power of data. APISCRAPY is your strategic ally, dedicated to providing a comprehensive solution for extracting critical Ecommerce data, including Ecommerce market data, Ecommerce product data, and Ecommerce datasets. With the Ecommerce arena being more competitive than ever, having a data-driven approach is no longer a luxury but a necessity.

APISCRAPY's forte lies in its ability to unearth valuable Ecommerce market data. We recognize that understanding the market dynamics, trends, and fluctuations is essential for making informed decisions.

APISCRAPY's AI-driven ecommerce data scraping service presents several advantages for individuals and businesses seeking comprehensive insights into the ecommerce market. Here are key benefits associated with their advanced data extraction technology:

  1. Ecommerce Product Data: APISCRAPY's AI-driven approach ensures the extraction of detailed Ecommerce Product Data, including product specifications, images, and pricing information. This comprehensive data is valuable for market analysis and strategic decision-making.

  2. Data Customization: APISCRAPY enables users to customize the data extraction process, ensuring that the extracted ecommerce data aligns precisely with their informational needs. This customization option adds versatility to the service.

  3. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can obtain relevant ecommerce data swiftly and consistently.

  4. Realtime Insights: Businesses can gain real-time insights into the dynamic Ecommerce Market by accessing rapidly extracted data. This real-time information is crucial for staying ahead of market trends and making timely adjustments to business strategies.

  5. Scalability: The technology behind APISCRAPY allows scalable extraction of ecommerce data from various sources, accommodating evolving data needs and handling increased volumes effortlessly.

Beyond the broader market, a deeper dive into specific products can provide invaluable insights. APISCRAPY excels in collecting Ecommerce product data, enabling businesses to analyze product performance, pricing strategies, and customer reviews.

To navigate the complexities of the Ecommerce world, you need access to robust datasets. APISCRAPY's commitment to providing comprehensive Ecommerce datasets ensures businesses have the raw materials required for effective decision-making.

Our primary focus is on Amazon data, offering businesses a wealth of information to optimize their Amazon presence. By doing so, we empower our clients to refine their strategies, enhance their products, and make data-backed decisions.

[Tags: Ecommerce data, Ecommerce Data Sample, Ecommerce Product Data, Ecommerce Datasets, Ecommerce market data, Ecommerce Market Datasets, Ecommerce Sales data, Ecommerce Data API, Amazon Ecommerce API, Ecommerce scraper, Ecommerce Web Scraping, Ecommerce Data Extraction, Ecommerce Crawler, Ecommerce data scraping, Amazon Data, Ecommerce web data]

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