Retail store dataset

Enhance business performance by leveraging retail store datasets to uncover valuable insights into customer behavior, sales trends, inventory management, and more.

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  • Hundreds of millions of records available
  • Retail store datasets from multiple websites at your fingertips
  • Free retail data samples for download
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Retail store dataset sample

Data points include product name, price, category name, materials, matched, similar products, low on stock, image, and more. Purchase a full coverage dataset or a subset.

Datasets Pricing

Refresh rate
200K
500K
1M
5M
20M
Complete Dataset
3TB
  • Clean and validated
  • Refreshed monthly
  • JSON/CSV/Parquet

Retail store datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

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 retail store 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 retail store datasets

Product offerings

Leverage retail store datasets to explore sales performance, customer reviews, and service data. Identifying trending products among competitors will help you optimize your inventory and drive sales growth.
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Purchase history

Extract purchase history, customer service records, product preferences, and more from retail store datasets. Businesses can leverage this data to craft targeted marketing campaigns, enhance customer service, and strengthen their market position.
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Identify best sellers

Identify top-performing and best-selling products through retail store datasets by analyzing customer reviews, sales figures, and return rates. This performance data helps businesses make informed decisions about which products to stock, promote, or discontinue.
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Optimize product inventory

Retail store dataset FAQs

Data points include product name, price, category name, materials, matched, similar products, low on stock, image, and more. Purchase a full coverage dataset or a subset.

Yes, you can get updates to your retail store dataset on a daily, weekly, monthly, or custom basis.

Yes, you can purchase a retail store subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

If you don’t want to purchase a dataset, you can start scraping retail data using our eCommerce Scraper API.

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.

Yes, you can request specific data points from the retail store dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the retail store 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.

Get accurate retail data.