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The dataset was created for data science bootcamp final project. The goal of the project was to built a model for sentiment analysis. The dataset was created by the author using his python web scraping scripts.
Data is downloaded from ebay website
Two files were uploaded:
1. ebay_reviews.csv - the dataset consists of 4 columns: product category (e.g. headsets, cell phones etc.), review title, review content and rating. The rating is a numerical type that can take one of the following value: 1, 2, 3, 4, 5. The value of 1 is the worst score, the value of 5 is the best score. The data is not cleaned. It need to be preprocessed for building models
ebay_reviews_cleaned.csv - the dataset that is preprocessed for machine learning algorithms.
It consists of two columns: rating column which can take one of three values:
-1 - this is for reviews with 1,2 rating score
0 - this is for reviews with 3 rating score
1 - this is for reviews for 4, 5 rating score
The second column is a connection of cleaned review title and review content. For more details see "text data cleaning using user-defined transformers" code which I wrote for this datasetLet me know if you need the scripts for downloading ebay reviews. I will share it.
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Unlock the power of online marketplace analytics with our comprehensive eBay products dataset. This premium collection contains 1.29 million products from eBay's global marketplace, providing extensive insights into one of the world's largest e-commerce platforms. Perfect for competitive analysis, pricing strategies, market research, and machine learning applications in e-commerce.
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eBay is an e-commerce platform, at first only providing customer-to-customer auction services, expanding into business-to-consumer shortly afterwards. In the 2000โs, eBay went on a spending...
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TwitterIn the second quarter of 2025, U.S.-based e-commerce platform eBay had some *** million active buyers worldwide, a slight increase over the same quarter in the previous year. Engaging buyers on all devices As of December 2023, Amazon was by far the most popular e-commerce and shopping website in the United States, driving over ** percent of desktop traffic in this category. eBay, however, stood out as its main competitor, with nearly ** percent of visits via this device. Among mobile users, eBay was also one of the most downloaded shopping apps in the North American country, with over **** million downloads recorded in 2023. Customer satisfaction over time In its more than *** decades of operation, eBay has been able to maintain a consistently high level of customer satisfaction. From 2000 to 2023, the American Customer Service Index has recorded eBay's level of customer satisfaction. Out of a total of 100 points, eBay scored the lowest satisfaction rate in 2015, when it earned ** index points. Meanwhile, the online marketplace reached its highest level in 2004, when it scored a total of ** points.
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eBay reported $2.8B in Sales Revenues for its fiscal quarter ending in September of 2025. Data for eBay | EBAY - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last December in 2025.
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This dataset provides historical stock prices of eBay Inc. (EBAY) from 1998 to the 2025. It includes key stock market data such as Open, High, Low, Close, Adjusted Close, and Volume, making it useful for financial analysis, stock market research, and predictive modeling.
๐น Ticker Symbol: EBAY
๐น Date Range: 1998 - Present
๐น Dataset Type: Time Series Data
| Column Name | Description |
|---|---|
| ๐ Date | Trading date (Index) |
| ๐ Open | Stock price at market open |
| ๐ High | Highest price during the trading day |
| ๐ Low | Lowest price during the trading day |
| ๐ฅ Close | Price at market close |
| โ Adj Close | Adjusted closing price after dividends/splits |
| ๐ Volume | Number of shares traded on that day |
โ
Stock Market Analysis โ Identify trends in eBayโs stock price
โ
Machine Learning & AI โ Train models for stock price prediction
โ
Financial Research โ Study historical patterns and volatility
โ
Time Series Forecasting โ Analyze long-term trends and patterns
This dataset has been extracted from Yahoo Finance and processed to remove unnecessary columns while retaining core stock market data.
Explore and analyze eBayโs stock history! ๐๐
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I extract data from eBay's website specifically related to the category of Laptops and Netbooks. This type of scraper is typically programmed to navigate through eBay's web pages, retrieve relevant information about laptops and netbooks listings, and compile this data into a dataset. The dataset may include details such as product titles, descriptions, prices, seller information, and other relevant attributes.
Scraper: Github
Dataset description (Unclean version):
Brand: The manufacturer or company that produces the laptop.
Price: The cost of the laptop as listed on eBay.
Rating: The overall rating or feedback score given by previous buyers.
Ratings Count: The number of ratings or reviews received for the laptop.
Condition: The state of the laptop, such as new, used, refurbished, etc.
Seller Note: Additional information or notes provided by the seller regarding the laptop.
Processor: The central processing unit (CPU) that powers the laptop.
Screen Size: The diagonal measurement of the laptop screen in inches.
Manufacturer Color: The color specified by the laptop manufacturer.
Color: The actual color of the laptop as listed by the seller.
Ram Size: The amount of random access memory (RAM) in the laptop.
SSD Capacity: The storage capacity of the solid-state drive (SSD) in the laptop.
GPU: The graphics processing unit responsible for rendering images and videos.
Processor Speed: The clock speed of the laptop's processor, usually measured in GHz.
Type: The type of laptop, such as notebook, ultrabook, 2-in-1, etc.
Release Year: The year the laptop model was released.
Maximum Resolution: The highest display resolution supported by the laptop.
Model: The specific model name or number of the laptop.
OS: The operating system installed on the laptop, e.g., Windows, macOS, Linux.
Features: Additional functionalities or specifications of the laptop.
Hard Drive Capacity: The storage capacity of the traditional hard disk drive (HDD) if applicable.
Country Region Of Manufacture: The country where the laptop was manufactured.
Storage Type: The type of storage technology used, e.g., HDD, SSD, hybrid.
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eBay Inc. operates marketplace platforms that connect buyers and sellers in the United States and internationally. The company's Marketplace platform includes its online marketplace at ebay.com and the eBay suite of mobile apps. Its platforms enable users to list, buy, sell, and pay for items through various online, mobile, and offline channels that include retailers, distributors, liquidators, import and export companies, auctioneers, catalog and mail-order companies, directories, search engines, commerce participants, shopping channels, and networks. The company was founded in 1995 and is headquartered in San Jose, California.
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TwitterIn 2021, eBay's marketplace net revenue was about 10.4 billion US dollars, most of which came from transaction revenues. While in 2020, eBay sold its StubHub operations to viagogo, in June 2021, it completed the transfer of its Classifieds business to Norwegian industry specialist Adevinta.
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Three companies have revolutionised how we shop online: Amazon, Alibaba, and eBay. Their origins, growth, and impact on global commerce are remarkable: - Amazon: Founded by Jeff Bezos in 1994, Amazon began as an online bookstore. It rapidly expanded its product range, invested heavily in technology and logistics, and introduced groundbreaking services like Amazon Prime and Amazon Web Services (AWS). Today, Amazon is a leader in e-commerce, cloud computing, and innovation. - Alibaba: Founded by Jack Ma in 1999, Alibaba aimed to connect Chinese manufacturers with international buyers. Through platforms like Alibaba.com, Taobao, and Tmall, it transformed e-commerce in China and became a global player in digital payments and financial services through Ant Group. - eBay: Started by Pierre Omidyar in 1995 as an online auction site, eBay quickly became a popular platform for buying and selling a wide variety of goods. It pioneered consumer-to-consumer (C2C) commerce, fostered a vibrant online community, and expanded globally.
These companies have distinct strengths and growth trajectories: - Amazon leads in technological innovation and customer-centric services. - Alibaba dominates the Chinese market and is influential in digital payments. - eBay pioneered C2C commerce and maintains a strong global presence.
Together, Amazon, Alibaba, and eBay have shaped the modern e-commerce landscape, democratised commerce, and continue to influence how we buy and sell goods around the world.
Amazon began as an online bookstore. Jeff Bezos, who was then a Wall Street hedge fund executive, decided to capitalise on the growth of the internet in the 1990s. He left his job, moved to Seattle, and started Amazon in his garage.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2Fdeff29b30a7e890d46ecfd32b8e468cc%2FScreenshot%202024-06-05%2020.26.14.png?generation=1717615837865701&alt=media" alt="">
A Markdown document with R code for the above chart, with a full chart explanation. link
Jack Ma, a former English teacher, founded Alibaba to connect Chinese manufacturers with international buyers. He aimed to support small and medium-sized enterprises (SMEs) in China by leveraging the internet.
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TwitterIn the second quarter of 2025, eBay's gross merchandise volume amounted to approximately 19.5 billion U.S. dollars, an increase from the same quarter in the previous year. Strongly driven by the increase in online sales due to the coronavirus pandemic, the online marketplace achieved its highest GMV ever between April and June 2020, when it surpassed 27 billion dollars.
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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset was created by Bhanu Mokkapati
Released under Apache 2.0
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TwitterComprehensive dataset tracking the percentage of eBay listings and purchases offering free shipping from 2015 to 2025, including cart abandonment rates, conversion metrics, active listings data, and category-specific shipping adoption rates across the eBay marketplace.
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This dataset comprises a comprehensive list of smartphones available on eBay. Each entry in the dataset provides detailed information about a specific smartphone, including the following attributes:
Product Name: The model and brand of the smartphone are listed on eBay. This field includes variations in naming due to different sellers' listings.
Price: The cost of the smartphone in the local currency, as specified by the seller. The prices may vary due to different conditions, seller pricing strategies, and additional features or accessories included.
Condition: The state of the smartphone, as described by the seller. Common categories include:
Brand New: Unopened and unused smartphones in their original packaging. Like New: Smartphones that have been opened but show no signs of use. Refurbished: Smartphones that have been professionally restored to working order, often by the manufacturer or a certified refurbisher. Used: Pre-owned smartphones that may show signs of wear and tear. For Parts or Not Working: Smartphones that are broken or defective, typically sold for parts or repair. The dataset is designed to help analyze market trends, pricing strategies, and the condition distribution of smartphones sold on eBay. It can be valuable for understanding consumer preferences, evaluating price elasticity, and studying the impact of conditions on pricing.
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## Overview
Shadow Ebay is a dataset for object detection tasks - it contains Shadow N0bc annotations for 407 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).
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This dataset is about books. It has 1 row and is filtered where the book is A guide to eBay : get buying!. It features 7 columns including author, publication date, language, and book publisher.
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TwitterDelve into the vibrant world of iPhone reselling with 'eBay iPhone Pricing Trends 2023', a rich dataset showcasing seller-driven prices for iPhone models like 11 Pro Max, 12 Pro Max, 13 Pro Max, 14 Pro Max, and XR. Ethically compiled, this data captures eBay's bustling market dynamics, offering a unique lens into how sellers price these high-demand Apple products. Ideal for data enthusiasts, this dataset is a gateway to insights on pricing strategy, market demand, and consumer trends. Elevate your market analysis with this authentic, eBay-sourced dataset, a window into the evolving secondary iPhone market. (Tool: Selenium has been used)
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eBay reported $632M in Net Income for its fiscal quarter ending in September of 2025. Data for eBay | EBAY - Net Income including historical, tables and charts were last updated by Trading Economics this last December in 2025.
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eBay reported $17.79B in Assets for its fiscal quarter ending in September of 2025. Data for eBay | EBAY - Assets including historical, tables and charts were last updated by Trading Economics this last December in 2025.
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eBay uk sellers information including phone and emails. Get in touch with crawl feeds team for more new and cutomized datasets.
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The dataset was created for data science bootcamp final project. The goal of the project was to built a model for sentiment analysis. The dataset was created by the author using his python web scraping scripts.
Data is downloaded from ebay website
Two files were uploaded:
1. ebay_reviews.csv - the dataset consists of 4 columns: product category (e.g. headsets, cell phones etc.), review title, review content and rating. The rating is a numerical type that can take one of the following value: 1, 2, 3, 4, 5. The value of 1 is the worst score, the value of 5 is the best score. The data is not cleaned. It need to be preprocessed for building models
ebay_reviews_cleaned.csv - the dataset that is preprocessed for machine learning algorithms.
It consists of two columns: rating column which can take one of three values:
-1 - this is for reviews with 1,2 rating score
0 - this is for reviews with 3 rating score
1 - this is for reviews for 4, 5 rating score
The second column is a connection of cleaned review title and review content. For more details see "text data cleaning using user-defined transformers" code which I wrote for this datasetLet me know if you need the scripts for downloading ebay reviews. I will share it.