ECommerce Product 3 Products

## Overview

ECommerce Product  3 Products is a dataset for object detection tasks - it contains Televisions Phones Laptops annotations for 1,017 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

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.

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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 .

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.

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.

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

According to a survey on e-commerce and online shopping in Thailand as of January 2023, around ** percent of the respondents prefer to shop fashion products online. This was followed by beauty and personal care products with around **** percent of the survey participants.

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

harishvs/ecommerce-product-llama2-QA dataset hosted on Hugging Face and contributed by the HF Datasets community

Ecommerce Product Descriptions Dataset

  Overview

This dataset contains product descriptions for various ecommerce products. Each sample is stored in a separate text file, with features space-separated on a single line. The dataset is structured to be compatible with Lumina AI's Random Contrast Learning (RCL) algorithm via the PrismRCL application.

  Dataset Structure

The dataset is organized into the following structure: Ecommerce_Product_Descriptions/… See the full description on the dataset page: https://huggingface.co/datasets/LuminaAI/RCL-Ecommerce-Product-Descriptions.

Gain a competitive edge using APISCRAPY's Walmart Data services. Explore E-commerce trends, leverage Walmart API, and access Product Data effortlessly. Enjoy seamless integration, 50% cost savings, and start with a complimentary free sample.

Clothing and footwear was by far the most popular product category for cross-border e-commerce in Europe in 2023. ** percent of respondents to a widespread survey stated that they most frequently buy products from this category on foreign online stores. Consumer electronics came in second, with a mere ** percent of respondents indicating that they buy such products abroad.

Apparel and accessories was the e-commerce category with the highest share in total retail sales in the United States as of February 2023. **** percent of all retail sales in the fashion segment were generated online. The category with the second-highest percentage of retail sales in the U.S. was furniture, at **** percent. At the other end of the spectrum, office equipment and supplies had the lowest share of retail sales, below *** percent. The continuous rise of e-commerce Online shopping is on the rise in the United States. The share of all retail sales in the U.S. stemming from online shopping has increased from *** percent in the first quarter of 2010 to a record-breaking **** percent in the third quarter of 2023. Consequently, the sales of retail e-commerce have surged from ** million U.S. dollars in the first quarter of 2010 to more than *** billion U.S. dollars in the third quarter of 2023. This boom is forecast to continue over the next few years, with the estimated revenue from online sales, including digital services, reaching **** trillion U.S. dollars by 2027. The king of e-commerce In the United States, the number of online shoppers continues to grow. In 2023, there were more than a quarter of a million online shoppers, and the number is forecast to reach over *** million by 2028. The most popular online shopping destination in the U.S., Amazon, sees a surge of shoppers during certain shopping occasions, which feature appealing bargains that encourage extravagant spending. In 2023, the biggest increase in sales occurred on Black Friday, with an increase of nearly ** percent. Amazon's deal event for Prime members, Prime Day, saw ** percent more sales. As for Cyber Monday, sales went up by ** percent.

Ecommerce Product Photography Market size was valued at USD 163.91 Million in 2023 and is projected to reach USD 342.27 Million by 2031, growing at a CAGR of 11.1% during the forecast period 2024-2030.

Global Ecommerce Product Photography Market Drivers

The market drivers for the Ecommerce Product Photography Market can be influenced by various factors. These may include:

Growth of E-commerce: The industry's explosive growth is primarily due to the need for high-quality product photographs to draw in and convert online shoppers.

Rising Customer Expectations: The need for professional photography services is being driven by consumers' growing expectations of high-resolution photographs, multiple viewpoints, and precise close-ups.

Global Ecommerce Product Photography Market Restraints

Several factors can act as restraints or challenges for the Abc. These may include:

High Costs: Investing in high-quality photos can be limited for small and medium-sized enterprises due to the high cost of professional product photography.

Technological Barriers: Despite the advancements in technology, some organizations lack the necessary resources or experience to utilize the newest photography tools and software, resulting in a lapse in quality.

Dataset

This dataset was created by Samiksha Kolhe

Contents

Get the needed Amazon product review data right from the data extractor! Collect Amazon review information from 19 Amazon countries from the following domains: - amazon.com - amazon.com.au - amazon.com.br - amazon.ca - amazon.cn - amazon.fr - amazon.de - amazon.in - amazon.it - amazon.com.mx - amazon.nl - amazon.sg - amazon.es - amazon.com.tr

Request Ecommerce Product Review dataset by: - keyword - category - seller - product ID (ASIN)

Amazon E-commerce Reviews Data datasets gathered by keyword, seller, category, or ASIN contain: - Product ID (can be extended to the full product information) - Review content and rating - Review metadata

Amazon extraction results can be delivered by schedule or API request, so the data can be extracted in real-time.

DATAANT uses the in-house web scraping service with no concurrency limitations, so unlimited data extractions can be performed simultaneously.

Output can and attributes can be customized to fit your particular needs.

The highest CAGR for the period of 2017 and 2028 was estimated to be in the food segment, amounting to almost ** percent growth. The segment of beauty, health, personal & household care is estimated to have over ** percent compound annual growth rate during this period.

Success.ai’s Ecommerce Leads Data for Retail, E-commerce & Consumer Goods Executives Worldwide delivers a robust and comprehensive dataset designed to help businesses connect with decision-makers and professionals in the global retail and e-commerce sectors. Covering industry leaders, marketing strategists, product managers, and logistics executives, this dataset offers verified contact details, business locations, and decision-maker insights.

With access to over 700 million verified global profiles and actionable data from retail and consumer goods companies, Success.ai ensures your outreach, market research, and business development initiatives are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution equips you to succeed in the competitive e-commerce landscape.

Why Choose Success.ai’s Ecommerce Leads Data?

1. Verified Contact Data for Precision Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of e-commerce executives, retail leaders, and consumer goods professionals worldwide.
   • AI-driven validation ensures 99% accuracy, optimizing outreach efforts and minimizing errors in communication.

2. Comprehensive Global Coverage

   • Includes profiles of professionals from major e-commerce hubs such as North America, Europe, Asia-Pacific, and the Middle East.
   • Gain insights into global trends in online retail, logistics, and consumer goods.

3. Continuously Updated Datasets

   • Real-time updates capture leadership changes, business expansions, and emerging e-commerce strategies.
   • Stay ahead of industry trends and align your efforts with evolving market conditions.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use and compliance with legal standards.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with retail, e-commerce, and consumer goods professionals worldwide.
• Leadership and Decision-Maker Insights: Engage with C-suite executives, product managers, and logistics leaders driving the e-commerce industry.
• Verified Contact Details: Access work emails, phone numbers, and business addresses for targeted engagement.
• Market Intelligence: Gain visibility into e-commerce trends, customer engagement strategies, and emerging technologies.

Key Features of the Dataset:

1. Professional Profiles in E-commerce and Retail

   • Identify and connect with decision-makers responsible for product development, logistics, marketing strategies, and digital transformations.
   • Target professionals managing online marketplaces, omnichannel retail strategies, and supply chain efficiencies.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (apparel, consumer electronics, food and beverage), geographic location, or job function.
   • Tailor campaigns to address specific market needs such as logistics optimization, digital marketing, or inventory management.

3. Industry and Regional Insights

   • Leverage data on market trends, consumer preferences, and e-commerce growth across key regions.
   • Align your strategies with regional demands and opportunities to maximize impact.

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 Lead Generation

   • Design targeted campaigns to promote logistics solutions, digital marketing tools, or consumer goods to professionals in retail and e-commerce.
   • Use verified contact data for multi-channel outreach, including email, phone, and digital marketing.

2. Product Development and Innovation

   • Utilize e-commerce insights to guide product development and align offerings with global consumer demands.
   • Collaborate with product managers and marketing strategists to refine product lines or launch new initiatives.

3. Partnership Development and Collaboration

   • Build relationships with e-commerce platforms, logistics providers, and retail brands seeking strategic alliances.
   • Foster partnerships that expand market reach, enhance customer experiences, or improve operational efficiencies.

4. Market Research and Competitive Analysis

   • Analyze global trends in e-commerce, retail, and consumer goods to refine your business strategies.
   • Benchmark against competitors to identify market gaps, growth opportunities, and emerging technologies.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality e-commerce leads data at competitive prices, ensuring strong ROI for your marketing, sales, and product development efforts.

2. Seamless Integration

   • Integrate verified e-commerce data into CRM systems, analytics tools, or marketing pla...

The eCommerce product photography services market is experiencing robust growth, fueled by the booming e-commerce sector and the increasing demand for high-quality visuals to enhance online sales. While precise market sizing data is unavailable, considering the average CAGR for similar visual services and the rapid expansion of online retail, we can reasonably estimate the 2025 market size to be around $2.5 billion. This figure is projected to grow steadily, driven by factors such as the rising adoption of social commerce, the proliferation of marketplaces, and the increasing sophistication of consumer expectations regarding product imagery. Key trends shaping this market include the rise of AI-powered photo editing tools, the increasing use of 3D and augmented reality (AR) product visualization, and a growing demand for sustainable and ethical photography practices. Constraints on growth could include pricing pressures from emerging competitors, fluctuations in advertising spend by e-commerce businesses, and the ongoing need for skilled photographers to meet the rising demand for high-quality content. Market segmentation includes services ranging from basic product shots to sophisticated lifestyle photography, with variations tailored to specific product categories and e-commerce platforms. This diverse range of services caters to businesses of all sizes, from individual entrepreneurs to large multinational corporations. The competitive landscape is fragmented, with a variety of companies offering diverse services and price points. Established players like Squareshot and Pencil One compete alongside smaller, specialized studios, highlighting the opportunities for both large-scale providers and niche businesses. Geographic variations in market size reflect the uneven distribution of e-commerce activity globally, with North America and Europe currently holding significant shares but considerable potential for growth in developing economies with expanding online retail markets. Further growth is expected throughout the forecast period (2025-2033), driven by continuous innovation in photography technology and evolving consumer preferences towards visually compelling online shopping experiences. The market is dynamic and adaptable, constantly responding to technological advancements and shifting consumer demands. A sustained focus on quality, innovation, and customer satisfaction will be critical for success in this competitive and rapidly expanding market.

In Sweden, the revenue of home electronics reached over ** billion Swedish kronor in 2024, being the best-selling B2C merchandise that year. The fashion segment followed with around ** billion Swedish kronor. The leading country in the Nordics The use of e-commerce websites varies by country in the Nordics. In the second quarter of 2023, the digital commerce traffic in the Nordics increased by **** percent on all types of devices. When it comes to online shopping from foreign websites, Sweden holds the highest percentage of cross-border business-to-consumer (B2C) e-commerce in the region. It is estimated that nearly half of Sweden's online shopping is done across borders. Sweden also has the biggest e-commerce market compared to other Nordic countries, as the country generated over ** billion U.S. dollars in revenue in 2023. Norway ranked second, with an e-commerce market worth around *** billion dollars. COVID-19 pandemic fueled online sales Over the last decade, the e-commerce revenue generated in Sweden was steadily rising until the COVID-19 pandemic hit in 2020. Online sales jumped from ** billion Swedish kronor in 2019 to around *** billion kronor in 2021. In 2022, the revenue dropped to *** billion Swedish kronor. The dip in revenue could be explained by the market adjustment after the soaring online sales spike triggered by the health crisis. When it comes to the most popular online store in Sweden, blocket.se was the most visited site in Sweden in April 2023. However, apotea.se, Sweden’s largest online pharmacy, was the website that accumulated the highest amount of revenue.