The Best Sales Datasets of 2025
Sales datasets offer a quick and simple way to access relevant sales data. If you’re looking to improve conversions, investigate competitors, or predict future trends using public web data, sales datasets are your best bet.
Sales data is crucial when investigating product or service performance, but collecting sales data from various e-commerce websites like Amazon either requires technical knowledge about web data collection or can be an overwhelming task when done by hand.
First, there are thousands of data points to consider. Information like sale amounts or prices can change quickly, so you’d need to keep updating it frequently. Secondly, raw data is hard to analyze, so you’d have to clean and structure it yourself, too. To solve this problem, various data providers offer sales datasets as a more approachable option.
Best Sales Datasets of 2025:
1. Bright Data – the largest variety of sales datasets.
2. Oxylabs – premium customizable sales datasets.
3. Coresignal – well-rounded sales and company datasets.
4. Infatica – sales data from various e-commerce sites.
5. Apify – pre-made templates for sales datasets.
What Is a Sales Dataset?
A sales dataset is a collection of structured information that captures sales-related information from online marketplaces. Sales datasets can have various data on service or goods sold. Here are a few examples of what you can expect in a sales dataset:
- Transaction details – how many items a user buys during one session, what payment method do they use (i.e., credit card, buy now pay later, wire transfer).
- Sales amounts – how many products were sold in general. Can describe the total amounts of individual products, such as black iPhone 14; or a group of products, such as all iPhone models sold by the retailer.
- Product performance – how often is a product purchased, and if the demand is growing or decreasing.
- Total revenue – how much money did the retailer make in total, from a group or products, or a single product.
- Customer demographics – what are the characteristics of the people typically purchasing (i.e., age group, geographic location).
Businesses can use sales datasets to make data-driven decisions, improve sales strategy, predict potential trends, as well as get a better understanding of their customers.
What Makes a Good Sales Dataset?
Not all datasets are made equally, and a large number of data points does not ensure quality data. Here are some tips on what to look for in a sales dataset to get the best results:
- The dataset should include all essential sales-related data. Look for datasets that have product details, customer demographic information, sale amounts, and more.
- The dataset should be updated regularly. Datasets are snapshots of a specific point in time, but sales data changes frequently. If you’re looking to review historical data, frequent dataset refresh might not be as important. However, if trend prediction is your goal, choose a dataset that is updated as frequently as you need.
- The dataset should be relevant to your topic of interest. Choose a dataset that reflects only the data you need. For example, if you’re forecasting product demand, look for a dataset that contains sale amounts and product availability.
- The dataset should have a well-structured format. The information should be structured and have a defined schema. Additionally, look for providers that have various formats (i.e., CSV, JSON, SQL) for easier integration.
Alternatives to Sales Datasets
While sales datasets are invaluable for business analysts, they might not always be a great fit to you. Or you might want to collect sales data yourself, especially if you’re aiming to save money or have specific needs. There are a few ways to get sales data without using datasets.
First, you can use official APIs. Some websites, such as eBay, Shopify, and Amazon, have dedicated API gateways that allow you to access specific sales data. For example, you can access and collect transaction details, seller analytics, sale histories, and more with eBay API. However, this approach can be limited, whether we’re talking about API accessibility, its price, available data points, or volume.
Second, you can use a third-party web scraping APIs to extract relevant information directly from websites. They cover publicly available data from e-commerce sites, online marketplaces, and even price comparison sites. This approach offers more flexibility compared to official APIs, but often you’ll have to clean and structure the scraped data yourself.
The Best Sales Datasets of 2025
1. Bright Data
The largest variety of sales datasets.
Available tools:
Sales and e-commerce datasets
Websites:
Amazon, Walmart, eBay, Shopee, others
Refresh frequency:
One-time, bi-annually, quarterly, monthly
- Data formats: JSON, ndJSON, CSV, XLSX
- Pricing structure: based on record amount
- Pricing model: one-time payment or subscription
- Support: 24/7 via live chat, dedicated account manager
- Pricing: starts at $500 for 200K records ($2.50/1K)
Bright Data is one of the biggest sales data providers around. They are high quality, can be refreshed often, and cover various data points, so it’s an excellent choice for companies and researchers alike.
The provider’s sales datasets can be categorized into two areas: focused on e-commerce companies (i.e. Amazon) or focused on specific product data (i.e. product availability or price). You can use Bright Data’s search to find the best dataset for your use case.
They cover major online marketplaces and retailers like Amazon, eBay, or Walmart. You can choose to refresh your dataset with new information daily, weekly, or on a custom schedule. Additionally, you can receive a free sample in CSV or JSON format with 30 records to check if it fits your use case. Bright Data also allows customization – filtering or renaming fields to get exactly the data you need.
The only downside would be the price. If you’re working on a relatively small project, paying $500 can sound intimidating. Nevertheless, Bright Data is a top choice if you’re looking for high quality data.
For more information, read the Bright Data review.
2. Oxylabs
Premium customizable sales datasets.
Available tools:
E-commerce product datasets & product review datasets, option to create custom datasets
Websites:
Amazon & Walmart
Refresh frequency:
One-time, quarterly, monthly, bi-annually
- Data formats: JSON, CSV, XLSX
- Pricing structure: based on record amount
- Pricing model: one-time payment or with each refresh
- Support: 24/7 via live chat, dedicated account manager
- Pricing: starts at $1000 a month
Oxylabs is another excellent provider if you’re looking for fresh data on e-commerce products or reviews. It offers structured data from popular e-commerce websites like Amazon and Walmart.
The provider has multiple output formats, such as JSON and CSV, and flexible data storage options, including AWS S3, Google Cloud Storage, and SFTP. Oxylabs offers flexible refresh frequencies with custom datasets, allowing up to daily refresh.
Keep in mind that Oxylabs is a premium provider, so its services typically come at a higher cost, making them a better fit for enterprise use. Additionally, datasets don’t have an option of self-service, so you’ll have to contact sales to get a tailored offer.
For more information, read the Oxylabs review.
3. Coresignal
Well-rounded sales and B2B datasets.
Available tools:
Company datasets with product information
Websites:
Not listed
Refresh frequency:
One-time, daily, weekly, monthly, quarterly
- Data formats: JSON, CSV, XLSX
- Pricing model: monthly payments with a yearly contract
- Support: contact form, dedicated account manager, technical support
- Pricing: starts at $1000 a month
Coresignal focuses on delivering company and job posting datasets, but you can access product reviews and pricing information, too.
Coresignal’s datasets cover all main aspects of company information. You can get details about products, sales, customer intent, and other necessary sales data. The datasets are delivered in JSONL, CSV, or Parquet formats, with an option to customize delivery frequency. You can get your data using a web link or through cloud storage services.
The provider’s pricing is on par with other premium providers and starts at $1,000. However, Coresignal requires you to commit to a yearly contract, so it’s a better option for those with a long-term need for sales datasets.
For more information, read the Coresignal review.
4. Infatica
Sales data from various e-commerce sites.
Available tools:
Custom datasets
Refresh frequency:
Custom
- Data formats: JSON, CSV
- Pricing model: monthly payments with a yearly contract
- Support: 24/7 customer support via chat, email, or tickets
- Pricing: custom
Infatica, better known as a proxy provider, has launched a different data service – customizable datasets.
The provider does not have a pre-made dataset collection where you can choose a product based on your needs, but instead offers a custom service. You can pick relevant data points, select websites, and adjust refresh frequency as you see fit. The collected data will be delivered in JSON or CSV output formats and delivered via cloud services.
However, with great customizability comes great vagueness. Infatica does not list a price approximation or how long the dataset making will take, so you’ll have to reach out to sales or customer support to find out the details.
For more information, read the Infatica review.
5. Apify
Pre-made templates for sales datasets.
Available tools:
Various Actors, option to create a custom one
Refresh frequency:
Custom, depends on the Actor
- Data formats: JSON, CSV, XML, JSONL, HTML table
- Pricing model: based on usage
- Pricing structure: subscription
- Support: contact form
- Pricing: custom (rental, pay per: result, event, or usage); or $49/month
Apify offers structured data from major retailers like Amazon, eBay, Walmart, and other companies. While it doesn’t have pre-collected datasets, Apify’s platform includes a wide selection of pre-made templates, so you can collect real-time product, pricing, and other relevant data without writing the code yourself.
The provider offers multiple predefined APIs named Actors that collect and process sales data. These Actors can extract information like product descriptions, stock availability, and reviews. The data can then be exported in multiple formats, such as JSON, CSV.
In terms of pricing, Apify is rather flexible. You can pay for individual Actors (prices vary) or opt for a monthly subscription for a full access to all Actors.
- April 15, 2025