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 +

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 .

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).

The Product Catalogue Management Software (PCM) market is experiencing robust growth, driven by the increasing need for businesses of all sizes to efficiently manage and showcase their product offerings online and offline. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by 2033. This growth is fueled by several key factors: the rise of e-commerce and omnichannel strategies, the demand for enhanced customer experience through personalized product catalogs, and the increasing adoption of cloud-based solutions for improved scalability and accessibility. SMEs are a significant driver of market growth, seeking cost-effective solutions to manage their product catalogs and improve online visibility. However, the market also faces challenges such as integration complexities with existing enterprise resource planning (ERP) systems and the need for robust security features to protect sensitive product data. The trend towards AI-powered catalog management tools, offering features like automated product updates and intelligent search functionalities, is reshaping the competitive landscape. The market segmentation reveals a strong preference for cloud-based solutions due to their inherent flexibility and cost-effectiveness. Large enterprises are increasingly adopting these systems to manage complex product catalogs across multiple channels. Geographically, North America currently holds the largest market share, followed by Europe and Asia Pacific. However, the Asia Pacific region is expected to experience the fastest growth due to increasing internet penetration and the rapid expansion of e-commerce in developing economies. The competitive landscape is characterized by a mix of established players and innovative startups, offering a wide range of solutions catering to diverse business needs. Ongoing technological advancements, coupled with the growing demand for efficient catalog management, will continue to shape the future trajectory of the PCM market, making it a highly attractive space for both businesses and investors.

We introduce PROCAT, a novel e-commerce dataset containing 10,000 expertly designed product catalogues consisting of individual product offers grouped into complementary sections. We aim to address the scarcity of existing datasets in the area of set-to-sequence machine learning tasks, which require complex structure prediction through both implicit clustering and outputting permutations of the predicted clusters. This task's difficulty is further increased by the need to handle rare and unseen offer instances as well as variable catalogue lengths and cluster counts. PROCAT provides catalogue data consisting of over 1.5 million offers across a 4 year period, in both raw text form and with pre-processed features containing information about relative visual placement. In the related paper we include initial experimental results on a proposed benchmark task by testing a number of joint set encoding and permutation learning model architectures.For details regarding the dataset structure and format, please see:https://github.com/mateuszjurewicz/procat#dataset-structure

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.

The Product Catalogue Management (PCM) Software market is experiencing robust growth, driven by the increasing need for businesses to manage and distribute their product information efficiently across multiple channels. The market's size in 2025 is estimated at $2.5 billion, demonstrating significant expansion. Considering a conservative Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, the market is projected to reach approximately $8.2 billion by 2033. This growth is fueled by several key factors: the rise of e-commerce and omnichannel strategies, demanding streamlined product data management; the increasing complexity of product catalogs, necessitating specialized software solutions; and the growing adoption of advanced technologies like AI and machine learning to enhance product information accuracy and accessibility. Furthermore, the ongoing shift towards digital transformation within businesses across various sectors is directly fueling the demand for sophisticated PCM solutions. The key trends shaping the PCM software market include the increasing integration of PCM solutions with other business systems like ERP and CRM, the growing demand for cloud-based PCM solutions offering scalability and flexibility, and the rising adoption of mobile-first approaches to catalog management. While challenges remain, such as the high initial investment cost for some software solutions and the need for robust data integration capabilities, the overall market outlook remains positive. The competitive landscape is marked by a mix of established players and emerging startups offering a range of features and pricing models, creating a dynamic and innovative market. The presence of companies like Plytix.com, Flipsnack, and others indicates the diverse solutions available to address the varied needs of businesses of different sizes and industries.

APISCRAPY specializes in Ecommerce data, offering a comprehensive solution for gathering Ecommerce market data, Ecommerce product data, and Ecommerce datasets. APISCRAPY is your go-to resource for making informed decisions in the Ecommerce landscape.

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...

About this Dataset

A downloadable product list for the top search results in the category of Tools on Amazon

Category

Product Lists

Keywords

ecommerce

Row Count

7373

Price

$15.00

The Catalog Management Software market is experiencing robust growth, projected to reach a substantial value with a Compound Annual Growth Rate (CAGR) of 12.48% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing need for efficient product information management (PIM) across diverse industries, coupled with the growing adoption of e-commerce and omnichannel strategies, is significantly boosting market demand. Businesses are recognizing the importance of accurate, consistent, and easily accessible product catalogs to enhance customer experience, streamline operations, and improve sales conversion rates. Furthermore, the rising adoption of cloud-based solutions and the integration of advanced technologies like AI and machine learning for catalog optimization and personalization are accelerating market growth. The market is segmented by type (cloud-based, on-premise) and application (retail, manufacturing, healthcare, etc.), offering diverse solutions to cater to specific business needs. Competition is intense, with established players like SAP, Oracle, and IBM competing alongside specialized providers such as Claritum and Coupa Software. Competitive strategies are focusing on innovative features, strategic partnerships, and robust customer support to secure market share. The geographic distribution of the market reflects the global reach of e-commerce. North America and Europe currently hold significant market share, driven by high technological adoption and established e-commerce infrastructure. However, the Asia-Pacific region is anticipated to witness substantial growth in the coming years due to increasing internet penetration and the rise of e-commerce platforms in developing economies like India and China. While the market faces challenges such as high initial investment costs and the complexity of integrating software with existing systems, the long-term benefits of improved operational efficiency and enhanced customer engagement are outweighing these restraints, driving the continued expansion of the Catalog Management Software market. The market's future prospects are bright, driven by ongoing technological advancements and the increasing demand for efficient and effective catalog management solutions across all business sectors.

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.

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.

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.

The E-commerce Product Dataset is a comprehensive collection tailored for the e-commerce sector, featuring a wide range of products from 16 main categories including shoes, hats, bags, furniture, digital products, jewelry, and more. With over 200k SKUs, this dataset is equipped with bounding boxes and category tags, making it a pivotal resource for product classification and inventory management.

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

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.

About this Dataset

A downloadable product list for the top search results in the category of Appliances on Amazon

Category

Product Lists

Keywords

ecommerce

Row Count

1958

Price

$15.00

A complete list of live websites using the Ecommerce Product Carousel Slider For Elementor technology, compiled through global website indexing conducted by WebTechSurvey.

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.