100+ datasets found
  1. d

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

    • datarade.ai
    Updated Dec 1, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    APISCRAPY (2023). 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
    Dec 1, 2023
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Malta, Bosnia and Herzegovina, United States of America, Switzerland, Spain, China, Ã…land Islands, Norway, Ukraine, Isle of Man
    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
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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. Data from: E-commerce and ICT activity

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 5, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2021). E-commerce and ICT activity [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/datasets/ictactivityofukbusinessesecommerceandictactivity
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 5, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Use of information and communication technology (ICT) and e-commerce activity by UK businesses. Annual data on e-commerce sales and how businesses are using the internet.

  4. P

    E-commerce Dataset

    • paperswithcode.com
    • opendatalab.com
    Updated Nov 15, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zhuosheng Zhang; Jiangtong Li; Pengfei Zhu; Hai Zhao; Gongshen Liu (2021). E-commerce Dataset [Dataset]. https://paperswithcode.com/dataset/e-commerce-1
    Explore at:
    Dataset updated
    Nov 15, 2021
    Authors
    Zhuosheng Zhang; Jiangtong Li; Pengfei Zhu; Hai Zhao; Gongshen Liu
    Description

    We release E-commerce Dialogue Corpus, comprising a training data set, a development set and a test set for retrieval based chatbot. The statistics of E-commerical Conversation Corpus are shown in the following table.

    TrainValTest
    Session-response pairs1m10k10k
    Avg. positive response per session111
    Min turn per session333
    Max ture per session101010
    Average turn per session5.515.485.64
    Average Word per utterance7.026.997.11

    The full corpus can be downloaded from https://drive.google.com/file/d/154J-neBo20ABtSmJDvm7DK0eTuieAuvw/view?usp=sharing.

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

    • data.success.ai
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai, Ecommerce Market Data | South-east Asia E-commerce Contacts | 170M Profiles | Verified Accuracy | Best Price Guarantee [Dataset]. https://data.success.ai/products/ecommerce-market-data-south-east-asia-e-commerce-contacts-success-ai
    Explore at:
    Dataset provided by
    Area covered
    South East Asia, Cyprus, Nepal, Armenia, China, Palestine, Azerbaijan, Myanmar, Bangladesh, Macao, Japan
    Description

    Access Ecommerce Market Data for E-commerce professionals across South-east Asia with Success.ai. Includes verified emails and phone numbers, updated continuously. Best price guaranteed.

  6. F

    E-Commerce Retail Sales

    • fred.stlouisfed.org
    json
    Updated May 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). E-Commerce Retail Sales [Dataset]. https://fred.stlouisfed.org/series/ECOMSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for E-Commerce Retail Sales (ECOMSA) from Q4 1999 to Q1 2025 about e-commerce, retail trade, sales, retail, and USA.

  7. h

    asos-e-commerce-dataset

    • huggingface.co
    Updated Mar 11, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

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

    • datarade.ai
    Updated Jan 1, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Lao People's Democratic Republic, Andorra, Malta, Northern Mariana Islands, Austria, Fiji, Korea (Democratic People's Republic of), Italy, Mexico, Canada
    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...
  9. d

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

    • datarade.ai
    Updated Jan 24, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Congo (Democratic Republic of the), Heard Island and McDonald Islands, Namibia, Jersey, Lithuania, Saint Vincent and the Grenadines, Spain, Iran (Islamic Republic of), Seychelles, Gabon
    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...

  10. G

    Retail e-commerce sales, inactive

    • open.canada.ca
    • ouvert.canada.ca
    • +1more
    csv, html, xml
    Updated Mar 24, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2023). Retail e-commerce sales, inactive [Dataset]. https://open.canada.ca/data/en/dataset/0ffbe1ee-7fa7-4369-ac78-a01c8175e1a6
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 3 series, with data for years 2016 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Sales (3 items: Retail trade; Electronic shopping and mail-order houses; Retail E-commerce sales).

  11. c

    Zoro Product Data Sample – Structured E-commerce Dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

  12. d

    Buy eCommerce Leads | eCommerce Store Owner Database 2025 | 3M+ Contacts |...

    • datarade.ai
    .csv, .xls
    Updated Feb 20, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lead for Business (2022). Buy eCommerce Leads | eCommerce Store Owner Database 2025 | 3M+ Contacts | Contact Direct Email and Mobile Number [Dataset]. https://datarade.ai/data-products/buy-ecommerce-leads-ecommerce-leads-database-ecommerce-le-lead-for-business
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Feb 20, 2022
    Dataset authored and provided by
    Lead for Business
    Area covered
    Canada, United States of America, Qatar, Guernsey, Lithuania, Jordan, Kazakhstan, Finland, Maldives, Argentina
    Description

    • 3M+ Contact Profiles • 5M+ Worldwide eCommerce Brands • Direct Contact Info for Decision Makers • Contact Direct Email and Mobile Number • 15+ eCommerce Platforms • 20+ Data Points • Lifetime Support Until You 100% Satisfied

    Buy eCommerce leads from our eCommerce leads database today. Reach out to eCommerce companies to expand your business. Now is the time to buy eCommerce leads and start running a campaign to attract new customers. We provide current and accurate information that will assist you in achieving your goals.

    Our database is made up of highly valuable and interested leads who are ready to make online purchases. You can always filter our data and choose the database that best meets your needs if you need eCommerce leads based on industry.

    We have millions of eCommerce data ready to go no matter where you are. We’ve acquired hundreds of clients from all over the world over the years and delivered data that they’re happy with.

    We were able to do so by obtaining data from various locations around the world. As a result, our database is widely accessible, and anyone can use it from any location on the planet. Please contact us if you want the best eCommerce leads .

    We sell eCommerce leads that can be filtered by industry. We know what you’re going through and what you’ll need for your next project. As a result, we’ve compiled a list of eCommerce leads that are exactly what you require. With the most potential data we provide, you can grow your business and achieve your business goals. All of our eCommerce leads are generated professionally, with real people – not bots – entering data.

    We’re a leading brand in the industry because we source data from the most well-known platforms, ensuring that the information you receive from us is accurate and reliable. That’s especially true because we verify each and every piece of information in order to provide you with yet another benefit in your life.

    The majority of our customers have had success with the information we’ve provided. That is why they keep contacting us for our services. You can count on our business-to-business eCommerce sales leads. Contact us to work with one of the most effective lead generation companies in the industry, which has already helped thousands of potential members achieve success.

    Every month, we update our eCommerce store sales leads in order to provide our clients with the most accurate data possible. We have a team of professionals who strive for excellence when it comes to gathering the right leads to ensure you get the number of sales you need. Our experts also double-check that all of the sales data we receive is genuine and accurate.

    The accuracy of our eCommerce database is why the majority of our clients choose us. Furthermore, we offer round-the-clock support to provide on-demand solutions. We take care of everything so you can spend less time evaluating our product database and more time becoming one of them.

  13. India E-Commerce Transactions: Volume

    • ceicdata.com
    Updated Oct 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). India E-Commerce Transactions: Volume [Dataset]. https://www.ceicdata.com/en/india/ecommerce-transactions-by-category/ecommerce-transactions-volume
    Explore at:
    Dataset updated
    Oct 31, 2023
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 18, 2024 - Feb 3, 2025
    Area covered
    India
    Description

    India E-Commerce Transactions: Volume data was reported at 37.000 Unit in 03 Feb 2025. This records a decrease from the previous number of 765.000 Unit for 29 Jan 2025. India E-Commerce Transactions: Volume data is updated daily, averaging 6,418.000 Unit from Dec 2018 (Median) to 03 Feb 2025, with 2135 observations. The data reached an all-time high of 12,527.000 Unit in 14 May 2021 and a record low of 5.000 Unit in 13 Jan 2025. India E-Commerce Transactions: Volume data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s India – Table IN.GI.EC: E-Commerce Transactions: by Category.

  14. t

    Ecommerce Analytics Reports: Decision-Driven Data Analysis & Conventions...

    • thegood.com
    html
    Updated Dec 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Good (2024). Ecommerce Analytics Reports: Decision-Driven Data Analysis & Conventions That Mean More Than Benchmarks [Dataset]. https://thegood.com/insights/ecommerce-google-analytics-reports/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    The Good
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The first step in any new digital experience optimization program is to build a strong understanding of the digital journey. The reason is pretty simple. Whether it’s a software registration experience or an ecommerce path to purchase, our goal is always to identify challenges and present a clear roadmap to address them. But we first […]

  15. United States E-Commerce Transactions: Volume: E-Commerce & Shopping:...

    • ceicdata.com
    Updated Mar 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). United States E-Commerce Transactions: Volume: E-Commerce & Shopping: Classifieds [Dataset]. https://www.ceicdata.com/en/united-states/ecommerce-transactions-by-category/ecommerce-transactions-volume-ecommerce--shopping-classifieds
    Explore at:
    Dataset updated
    Mar 1, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 18, 2025 - Mar 1, 2025
    Area covered
    United States
    Description

    United States E-Commerce Transactions: Volume: E-Commerce & Shopping: Classifieds data was reported at 13.000 Unit in 10 May 2025. This records a decrease from the previous number of 33.000 Unit for 09 May 2025. United States E-Commerce Transactions: Volume: E-Commerce & Shopping: Classifieds data is updated daily, averaging 43.000 Unit from Dec 2018 (Median) to 10 May 2025, with 2322 observations. The data reached an all-time high of 697.000 Unit in 27 Nov 2022 and a record low of 2.000 Unit in 31 Dec 2018. United States E-Commerce Transactions: Volume: E-Commerce & Shopping: Classifieds data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s United States – Table US.GI.EC: E-Commerce Transactions: by Category.

  16. Retail Store Data | Retail & E-commerce Sector in Asia | Verified Business...

    • datarade.ai
    Updated Feb 12, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai (2018). Retail Store Data | Retail & E-commerce Sector in Asia | Verified Business Profiles & eCommerce Professionals | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/retail-store-data-retail-e-commerce-sector-in-asia-veri-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Feb 12, 2018
    Dataset provided by
    Area covered
    Cyprus, Georgia, Malaysia, Kuwait, Jordan, Singapore, Bangladesh, Turkmenistan, Lebanon, Hong Kong
    Description

    Success.ai delivers unparalleled access to Retail Store Data for Asia’s retail and e-commerce sectors, encompassing subcategories such as ecommerce data, ecommerce merchant data, ecommerce market data, and company data. Whether you’re targeting emerging markets or established players, our solutions provide the tools to connect with decision-makers, analyze market trends, and drive strategic growth. With continuously updated datasets and AI-validated accuracy, Success.ai ensures your data is always relevant and reliable.

    Key Features of Success.ai's Retail Store Data for Retail & E-commerce in Asia:

    Extensive Business Profiles: Access detailed profiles for 70M+ companies across Asia’s retail and e-commerce sectors. Profiles include firmographic data, revenue insights, employee counts, and operational scope.

    Ecommerce Data: Gain insights into online marketplaces, customer demographics, and digital transaction patterns to refine your strategies.

    Ecommerce Merchant Data: Understand vendor performance, supply chain metrics, and operational details to optimize partnerships.

    Ecommerce Market Data: Analyze purchasing trends, regional preferences, and market demands to identify growth opportunities.

    Contact Data for Decision-Makers: Reach key stakeholders, such as CEOs, marketing executives, and procurement managers. Verified contact details include work emails, phone numbers, and business addresses.

    Real-Time Accuracy: AI-powered validation ensures a 99% accuracy rate, keeping your outreach efforts efficient and impactful.

    Compliance and Ethics: All data is ethically sourced and fully compliant with GDPR and other regional data protection regulations.

    Why Choose Success.ai for Retail Store Data?

    Best Price Guarantee: We deliver industry-leading value with the most competitive pricing for comprehensive retail store data.

    Customizable Solutions: Tailor your data to meet specific needs, such as targeting particular regions, industries, or company sizes.

    Scalable Access: Our data solutions are built to grow with your business, supporting small startups to large-scale enterprises.

    Seamless Integration: Effortlessly incorporate our data into your existing CRM, marketing, or analytics platforms.

    Comprehensive Use Cases for Retail Store Data:

    1. Market Entry and Expansion:

    Identify potential partners, distributors, and clients to expand your footprint in Asia’s dynamic retail and e-commerce markets. Use detailed profiles to assess market opportunities and risks.

    1. Personalized Marketing Campaigns:

    Leverage ecommerce data and consumer insights to craft highly targeted campaigns. Connect directly with decision-makers for precise and effective communication.

    1. Competitive Benchmarking:

    Analyze competitors’ operations, market positioning, and consumer strategies to refine your business plans and gain a competitive edge.

    1. Supplier and Vendor Selection:

    Evaluate potential suppliers or vendors using ecommerce merchant data, including financial health, operational details, and contact data.

    1. Customer Engagement and Retention:

    Enhance customer loyalty programs and retention strategies by leveraging ecommerce market data and purchasing trends.

    APIs to Amplify Your Results:

    Enrichment API: Keep your CRM and analytics platforms up-to-date with real-time data enrichment, ensuring accurate and actionable company profiles.

    Lead Generation API: Maximize your outreach with verified contact data for retail and e-commerce decision-makers. Ideal for driving targeted marketing and sales efforts.

    Tailored Solutions for Industry Professionals:

    Retailers: Expand your supply chain, identify new markets, and connect with key partners in the e-commerce ecosystem.

    E-commerce Platforms: Optimize your vendor and partner selection with verified profiles and operational insights.

    Marketing Agencies: Deliver highly personalized campaigns by leveraging detailed consumer data and decision-maker contacts.

    Consultants: Provide data-driven recommendations to clients with access to comprehensive company data and market trends.

    What Sets Success.ai Apart?

    70M+ Business Profiles: Access an extensive and detailed database of companies across Asia’s retail and e-commerce sectors.

    Global Compliance: All data is sourced ethically and adheres to international data privacy standards, including GDPR.

    Real-Time Updates: Ensure your data remains accurate and relevant with our continuously updated datasets.

    Dedicated Support: Our team of experts is available to help you maximize the value of our data solutions.

    Empower Your Business with Success.ai:

    Success.ai’s Retail Store Data for the retail and e-commerce sectors in Asia provides the insights and connections needed to thrive in this competitive market. Whether you’re entering a new region, launching a targeted campaign, or analyzing market trends, our data solutions ensure measurable success.

    ...

  17. T

    United States - E-Commerce Retail Sales

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). United States - E-Commerce Retail Sales [Dataset]. https://tradingeconomics.com/united-states/e-commerce-retail-sales-mil-of-$-q-sa-fed-data.html
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - E-Commerce Retail Sales was 300226.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - E-Commerce Retail Sales reached a record high of 300357.00000 in October of 2024 and a record low of 4467.00000 in October of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - E-Commerce Retail Sales - last updated from the United States Federal Reserve on July of 2025.

  18. h

    ecommerce-user-behavior-data

    • huggingface.co
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chen Ching Yen, ecommerce-user-behavior-data [Dataset]. https://huggingface.co/datasets/jin-ying-so-cute/ecommerce-user-behavior-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Chen Ching Yen
    Description

    jin-ying-so-cute/ecommerce-user-behavior-data dataset hosted on Hugging Face and contributed by the HF Datasets community

  19. H

    Open e-commerce 1.0: Five years of crowdsourced U.S. Amazon purchase...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Dec 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alex Berke; Dan Calacci; Robert Mahari; Takahiro Yabe; Kent Larson; Sandy Pentland (2023). Open e-commerce 1.0: Five years of crowdsourced U.S. Amazon purchase histories with user demographics [Dataset]. http://doi.org/10.7910/DVN/YGLYDY
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 2, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Alex Berke; Dan Calacci; Robert Mahari; Takahiro Yabe; Kent Larson; Sandy Pentland
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset contains longitudinal purchases data from 5027 Amazon.com users in the US, spanning 2018 through 2022: amazon-purchases.csv It also includes demographic data and other consumer level variables for each user with data in the dataset. These consumer level variables were collected through an online survey and are included in survey.csv fields.csv describes the columns in the survey.csv file, where fields/survey columns correspond to survey questions. The dataset also contains the survey instrument used to collect the data. More details about the survey questions and possible responses, and the format in which they were presented can be found by viewing the survey instrument. A 'Survey ResponseID' column is present in both the amazon-purchases.csv and survey.csv files. It links a user's survey responses to their Amazon.com purchases. The 'Survey ResponseID' was randomly generated at the time of data collection. amazon-purchases.csv Each row in this file corresponds to an Amazon order. Each such row has the following columns: Survey ResponseID Order date Shipping address state Purchase price per unit Quantity ASIN/ISBN (Product Code) Title Category The data were exported by the Amazon users from Amazon.com and shared by users with their informed consent. PII and other information not listed above were stripped from the data. This processing occurred on users' machines before sharing with researchers.

  20. V

    Vietnam E-Commerce Transactions: Volume: E-Commerce & Shopping: E-Commerce &...

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, Vietnam E-Commerce Transactions: Volume: E-Commerce & Shopping: E-Commerce & Shopping [Dataset]. https://www.ceicdata.com/en/vietnam/ecommerce-transactions-by-category/ecommerce-transactions-volume-ecommerce--shopping-ecommerce--shopping
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 13, 2024 - Nov 30, 2024
    Area covered
    Vietnam
    Description

    Vietnam E-Commerce Transactions: Volume: E-Commerce & Shopping: E-Commerce & Shopping data was reported at 26.000 Unit in 30 Nov 2024. This records a decrease from the previous number of 192.000 Unit for 28 Nov 2024. Vietnam E-Commerce Transactions: Volume: E-Commerce & Shopping: E-Commerce & Shopping data is updated daily, averaging 49,818.500 Unit from Dec 2018 (Median) to 30 Nov 2024, with 1906 observations. The data reached an all-time high of 235,088.000 Unit in 12 Dec 2021 and a record low of 9.000 Unit in 09 Nov 2024. Vietnam E-Commerce Transactions: Volume: E-Commerce & Shopping: E-Commerce & Shopping data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Vietnam – Table VN.GI.EC: E-Commerce Transactions: by Category.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
APISCRAPY (2023). 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
Dec 1, 2023
Dataset authored and provided by
APISCRAPY
Area covered
Malta, Bosnia and Herzegovina, United States of America, Switzerland, Spain, China, Ã…land Islands, Norway, Ukraine, Isle of Man
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]

Search
Clear search
Close search
Google apps
Main menu