Use our Best Buy products to collect ratings, prices, and descriptions about products from an e-commerce online web. You can purchase either the entire dataset or a customized subset, depending on your requirements. The Best Buy Products Dataset stands as a comprehensive resource for businesses, researchers, and analysts aiming to navigate the vast array of products offered by Best Buy, a leading retailer in consumer electronics and technology. Tailored to provide a deep understanding of Best Buy's e-commerce ecosystem, this dataset facilitates market analysis, pricing optimization, customer behavior comprehension, and competitor assessment. At its core, the dataset encompasses essential attributes such as product ID, title, descriptions, ratings, reviews, pricing details, and seller information. These fundamental data elements empower users to glean insights into product performance, customer sentiment, and seller credibility, thereby facilitating informed decision-making processes. Whether you're a retailer looking to enhance your product portfolio, a researcher investigating trends in consumer electronics, or an analyst seeking to refine e-commerce strategies, the Best Buy Products Dataset offers a valuable resource for uncovering opportunities and driving success in the ever-evolving landscape of retail.

Buy

## Overview

Buy is a dataset for object detection tasks - it contains Other annotations for 5,747 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).

Use our TikTok Shop dataset to extract detailed e-commerce insights, including product names, prices, discounts, seller details, product descriptions, categories, customer ratings, and reviews. You may purchase the entire dataset or a customized subset tailored to your needs. Popular use cases include trend analysis, pricing optimization, customer behavior studies, and marketing strategy refinement. The TikTok Shop dataset includes key data points: product performance metrics, user engagement, customer reviews, and more. Unlock the potential of TikTok's shopping platform today with our comprehensive dataset!

This dataset contains the predicted prices of the asset Buy over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

GSA e-Buy, is an electronic Request for Quote (RFQ) / Request for Proposal (RFP) system designed to allow government buyers to request information, find sources, and prepare RFQs/RFPs, online, for millions of services and products offered through GSA's Multiple Award Schedule (MAS) and GSA Technology Contracts. Government buyers can use eBuy to obtain quotes or proposals for services, large quantity purchases, big ticket items, and purchases with complex requirements. Buyers may use e-Buy to evaluate and accept the quotation that represents the best value. Buyers may then make award to any contractor whose quotation was accepted. The e-Buy Award dataset are the award data collected by e-Buy for a given fiscal year.

CompanyData.com (powered by BoldData) is your trusted source for structured, verified company data based on official SIC codes. Whether you're looking to target a specific industry or analyze entire sectors, our SIC-based datasets make it easy to segment and source business information with clarity and precision. We aggregate and verify business records from official trade registers and government sources across the globe—ensuring unmatched quality and compliance.

Our SIC datasets include firmographic and contact data for millions of companies worldwide. Each record contains up-to-date details like company hierarchies, executive names, email addresses, phone and mobile numbers, geographic location, and SIC-based industry classification. All records are thoroughly validated, regularly updated, and organized for easy filtering by SIC code or industry group.

Clients rely on our SIC-based data for a wide range of applications—from KYC and regulatory compliance to sales prospecting, marketing segmentation, CRM data enhancement, and AI training. Whether you're building targeted B2B campaigns or enriching analytics platforms, our granular data structure makes it easy to access exactly the companies you need—based on standardized industrial codes.

Our delivery is as flexible as your business demands. Access data through tailored bulk files, real-time API integrations, or explore company lists via our intuitive self-service platform. With coverage of over 380 million verified companies worldwide and deep expertise in industry classification systems, CompanyData.com (BoldData) helps you unlock smarter decisions, deeper insights, and better results—at any scale.

According to a survey conducted in May 2024, 45 percent of respondents in the United States were somewhat willing to purchase premium products or services from companies with stronger data protection policies. The same trend can be noticed among different age groups, as more than 40 percent of U.S. respondents in each age group were somewhat willing to buy premium products when it came to data protection. Around half of respondents aged between 25 and 44 were willing to pay extra for better data security, while a comparatively smaller share of 42 percent among respondents aged 18 to 24 years old were willing to do so.

This dataset contains the predicted prices of the asset you can now buy over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

The State Contract and Procurement Registration System (SCPRS) was established in 2003, as a centralized database of information on State contracts and purchases over $5000. eSCPRS represents the data captured in the State's eProcurement (eP) system, Bidsync, as of March 16, 2009. The data provided is an extract from that system for fiscal years 2012-2013, 2013-2014, and 2014-2015

Data Limitations:
Some purchase orders have multiple UNSPSC numbers, however only first was used to identify the purchase order. Multiple UNSPSC numbers were included to provide additional data for a DGS special event however this affects the formatting of the file. The source system Bidsync is being deprecated and these issues will be resolved in the future as state systems transition to Fi$cal.

Data Collection Methodology:

The data collection process starts with a data file from eSCPRS that is scrubbed and standardized prior to being uploaded into a SQL Server database. There are four primary tables. The Supplier, Department and United Nations Standard Products and Services Code (UNSPSC) tables are reference tables. The Supplier and Department tables are updated and mapped to the appropriate numbering schema and naming conventions. The UNSPSC table is used to categorize line item information and requires no further manipulation. The Purchase Order table contains raw data that requires conversion to the correct data format and mapping to the corresponding data fields. A stacking method is applied to the table to eliminate blanks where needed. Extraneous characters are removed from fields. The four tables are joined together and queries are executed to update the final Purchase Order Dataset table. Once the scrubbing and standardization process is complete the data is then uploaded into the SQL Server database.

Secondary/Related Resources:

• State Contract Manual (SCM) vol. 2 http://www.dgs.ca.gov/pd/Resources/publications/SCM2.aspx
• State Contract Manual (SCM) vol. 3 http://www.dgs.ca.gov/pd/Resources/publications/SCM3.aspx
• Buying Green http://www.dgs.ca.gov/buyinggreen/Home.aspx
• United Nations Standard Products and Services Code, http://www.unspsc.org/

CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner data was reported at 5.700 % in Apr 2025. This records a decrease from the previous number of 6.000 % for Mar 2025. CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner data is updated monthly, averaging 5.400 % from Feb 1967 (Median) to Apr 2025, with 637 observations. The data reached an all-time high of 11.300 % in Jan 2016 and a record low of 2.900 % in Oct 2009. CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H054: Consumer Confidence Index: Buying Plans & Intended Vacations. [COVID-19-IMPACT]

Affirm was offered more often as a BNPL option within the United States than anywhere else in the world. Estimates based on website tracking and the technologies used within them reveal that merchants from the United States and Canada offer the San Francisco-based payment method relatively more typically than anywhere else in the world. For example, estimates are that more than 560 Canadian merchants up to February 2024 had Affirm on their website - a number that was slightly over eight percent of all domains in the country with a buy now, pay later (BNPL) option.

This dataset is about book subjects. It has 1 row and is filtered where the books is To buy or not to buy : why we overshop and how to stop. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Public Contracts Code section 12211(a) mandates that each State agency shall report annually to the California Department of Resources Recycling and Recovery (CalRecycle) their progress in meeting recycled-content product purchasing requirements using the report format provided by the CalRecycle. This data states the report submission status for each agency and any important comments regarding the annual report.

Use of buy now, pay later (BNPL) payment products has been growing in the United States. We explore the benefits and risks of BNPL products for consumers and merchants.

Customer ID: A unique identifier assigned to each customer for tracking and analysis purposes.

Gender: The gender of the customer, which can be categorized as male, female, or non-binary. Understanding the gender distribution of customers can help retailers tailor their marketing strategies and product offerings to different demographic segments.

Income: The income level of the customer, typically categorized into income brackets or ranges. Income data provides insights into the purchasing power of different customer segments and helps retailers determine pricing strategies and product affordability.

Spending Score: A numerical score assigned to each customer based on their spending behavior, often calculated using factors such as purchase frequency, average transaction value, and total expenditure. Spending scores help retailers identify high-value customers who contribute significantly to sales and profitability.

Age: The age of the customer, usually categorized into age groups or ranges. Age data is essential for understanding the demographic composition of the customer base and tailoring marketing messages and product offerings to different age segments. Additionally, age information can inform decisions related to product design, packaging, and store layout to appeal to specific age demographics.

Listing of all purchase orders and contracts issued to procure goods and/or services within City-Parish. In the City-Parish, a PO/Contract is made up of two components: a header and one or many detail items that comprise the overarching PO/Contract. The header contains information that pertains to the entire PO/Contract. This includes, but is not limited to, the total amount of the PO/Contract, the department requesting the purchase and the vendor providing the goods or services. The detail item(s) contain information that is specific to the individual item ordered or service procured through the PO/Contract. The item/service description, item/service quantity and the cost of the item is located within the PO/Contract details. There may be one or many detail items on an individual PO/Contract. For example, a Purchase Order for a computer equipment may include three items: the computer, the monitor and the base software package. Both header information and detail item information are included in this dataset in order to provide a comprehensive view of the PO/Contract data. The Record Type field indicates whether the record is a header record (H) or detail item record (D). In the computer purchase example from above, the system would display 4 records – one header record and 3 detail item records. It should be noted header information will be duplicated on all detail items. No detail item information will be displayed on the header record. ***In October of 2017, the City-Parish switched to a new system used to track PO/Contracts. This data contains all PO/Contracts entered in or after October 2017. For prior year data, please see the Legacy Purchase Order dataset https://data.brla.gov/Government/Legacy-Purchase-Orders/54bn-2sqf

The global Internet Business Buy and Sell market size was valued at USD 24,869 million in 2025 and is projected to reach USD 77,950 million by 2033, exhibiting a CAGR of 15.3% during the forecast period (2025-2033). The growth of the market can be attributed to the increasing popularity of online business transactions and the growing number of startups and small businesses entering the market. Online business buying and selling platforms provide a convenient and efficient way for businesses to connect with buyers and sellers, which has led to its widespread adoption by both individuals and organizations. The internet business buy and sell market is expected to witness significant growth in the coming years due to several factors. One of the key drivers of growth is the increasing adoption of e-commerce by businesses of all sizes. As more businesses move their operations online, the demand for platforms that facilitate the buying and selling of businesses is likely to increase. Additionally, the growing popularity of online marketplaces and the increasing number of startups and small businesses entering the market are also expected to contribute to the growth of the internet business buy and sell market.

Buy Fortnite Shoes IRL

## Overview

Buy Fortnite Shoes IRL is a dataset for object detection tasks - it contains Gaming annotations for 2,734 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).

Comprehensive dataset containing 37 verified WE WANT TO BUY YOUR HOUSE locations in United States with complete contact information, ratings, reviews, and location data.

Global Buy Now Pay Later Platforms Market was valued at USD 32.89 Billion in 2023 and is expected to reach USD 112.36 Billion by 2029 with a CAGR of 22.54% during the forecast period.