eBay dataset
The eBay Products dataset offers a comprehensive view of the range of items available on eBay. It provides essential data points such as product IDs, titles, descriptions, ratings, reviews, pricing information, and seller details, giving a thorough understanding of product performance, customer sentiment, and seller credibility. This dataset offers valuable insights into eBay’s ecommerce landscape, supporting effective market analysis, pricing strategies, customer behavior research, and competitor evaluation.
- Over 385K
records available - Free eBay data samples
for download - Starting from price
$250/100K records
Trusted by 20,000+ customers worldwide
Available eBay and related datasets
Access fresh validated eBay datasets. Ensure hassle-free data access by using ready-made scrapers.
- Demo data in JSON/CSV
- Fresh records
- Customize, enrich, and format the data
Amazon products
Shopee - products
Amazon Reviews
Walmart - products
TikTok Shop
Shein- Products
Amazon products global dataset
Amazon sellers info
eBay
Amazon best seller products
Google Shopping
Home Depot US
Amazon Walmart
Amazon products search
Etsy
Zara - Products
Ikea - Products
Lazada - Products
Best Buy products
Target
Ozon.ru products
Myntra products
Google Play Store reviews
Sephora products
H&M - Products
Webmotors Brasil - Cars Listings
Lowes.com
Google Shopping products search US
Digikey - Products
Wildberries.ru products
Walmart sellers info
Tokopedia Products
Mouser - Products
Wayfair products
carsales.com.au - Cars Listings
Apple App Store reviews
Zalando products
Chileautos Chile - Cars Listings
Carsales Cars Listings search page information
Asos - Products
Lazada - Reviews
Lego - Products
Naver products
Chanel Products
Hermes- Products
Home Depot CA
Dior - Products
Lazada products search (GMV)
AE.com - Complete Products
Mediamarkt.de products
Balenciaga.com - Products
Ashleyfurniture - Products
Mango Products
Toysrus - Products
Fanatics.com - Products
Carters.com - Products
Zara Home Products
Prada.com - Products
Ysl.com - Products
Fendi Products
Crateandbarrel - Products
Loewe.com - Products
Delvaux - Products
Bottegaveneta.com - Products
Walmart - products zipcodes
Massimo Dutti - Products
Mybobs.com - Products
Celine.com - Products
Sleepnumber.com - Products
Mattressfirm - Products
Berluti.com - Products
Montblanc - Products
llbean.com - Products
Raymourflanigan.com - Products
La-z-boy.com - Products
Moynat.com - Products
Walmart products search
eBay Data Points
We will build an eBay dataset based on your needs. Data points include URL, product ID, title, seller name, seller rating, seller reviews, root category, images, price, condition and much more. Receive full coverage or a subset.
Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
eBay datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable eBay data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
How companies use eBay datasets
Pricing optimization
Identify gaps
Competitor analysis
eBay Dataset FAQs
What data is included in the eBay dataset?
We will build an eBay dataset based on your needs. Data points include URL, product ID, title, seller name, seller rating, seller reviews, root category, images, price, condition and much more. Receive full coverage or a subset.
Can I get updates for my purchased eBay dataset?
Yes, you can get updates to your eBay dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the eBay dataset?
Yes, you can purchase a eBay subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the eBay dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I scrape eBay public data by myself?
If you don’t want to purchase a dataset, you can start scraping eBay data using our eBay scraping tool.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the eBay dataset?
Yes, you can request specific data points from the eBay dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the eBay dataset directly into my existing systems?
Absolutely, the eBay dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.
How eBay datasets can help me?
Utilize our eBay dataset for diverse applications to enrich business strategies and market insights. Analyzing this dataset provides a comprehensive understanding of e-commerce trends, empowering organizations to refine their sales and marketing strategies. Access the entire dataset or customize a subset to fit your needs.
Popular use cases include market research to identify trending products and categories, AI training by reviewing factors such as listing details, sales volumes, and buyer interactions for predictive analytics, and trend forecasting by examining correlations between specific products and user engagement to uncover emerging consumer preferences.