Google Data Search offers a powerful search engine that you can use to find valuable retail datasets that you can use for various reasons. The retail datasets can be great for AI recommendation systems, enhanced customer insights, customer personalization, targeted marketing, fraud prevention, inventory optimization, cost reduction, etc.
If you want to venture into the retail business, it is crucial to find as much historical and current data as possible to ensure the success of your business. You need to use datasets that you get from reliable sources to reduce the chances of feeding your AI or ML models with wrong data. We have highlighted some of the top 10 retail datasets for AI recommendation systems.
1. Bright Data
BrightData is known for offering reliable retail datasets from different platforms such as Amazon, Walmart, Shopee, TikTok Shop, eBay, Shein, Home Depot US, Etsy, Google Shopping, Best Buy, etc.
You can gain access to the datasets in different file formats such as JSON and CSV. The data collection process is thoroughly validated to ensure that you only get verified data.
Additionally, you can create custom schedules to automate data delivery and watch the data flow seamlessly. Through the retail datasets, it will be easy to maximize sales, understand the trending products, get the main selling points of competitors, etc. Ideally, you gain access to hundreds of millions of records, free data samples, etc.
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2. Thordata
Thordata offers some of the best retail datasets that you can use to get real-time insights to make informed decisions. You won’t need to use scrapers anymore, but instead, get ready data that you can use for your marketing, advertising, or retail purposes. The structured and validated data is tailored to all your business needs.
Some of the beneficial retail datasets include Walmart sellers' info, Amazon reviews, Amazon products global dataset, Amazon best seller products, Google Shopping products search US, Amazon products search, and Amazon sellers' info. The data in the datasets is cleaned and validated regularly to ensure there are no duplicates or errors.
The datasets are refreshed daily, with updates being made monthly. You gain access to only new records or updated records; therefore, you just need to pay for what you need. If you purchase two or more datasets, you are assured of exclusive discounts.
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3. Oxylabs
Oxylabs offers retail datasets for AI recommendation systems. The datasets are available in a format that aligns with your needs. Additionally, Oxylabs uses highly localized scraping and data validation techniques for at most data accuracy. The public web datasets are ready to use and are regularly cleaned to ensure you don’t encounter errors or duplicates.
Oxylabs features different dataset types such as company data, job posting data, product review data, community, and code data. All the datasets are valuable to ensure you get enough retail information that you can use for AI recommendation systems. Ideally, when you contact the support, you only pay for the specific data points you need.
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4. Infatica
If you are looking for retail datasets for AI recommendation systems, then Infatica is perfect for you! Not only do you get a wide range of datasets, but you also get high-quality data that can help you make better decisions in your e-commerce, business, or company. Whether you are an individual or a business that wants to escalate to the next level, these datasets are ideal for you.
Get access to the most reliable and actionable data insights. Additionally, it has reliable customer support to ensure you don’t get stuck when conducting tasks. On Infatica, you gain access to retail datasets for AI recommendation systems from platforms like Amazon, eBay, Booking, and others like LinkedIn and TikTok.
While using the datasets, you will save on the time that you would have used in data collection, and you can invest your time in utilizing the data in other ways. The dataset assures you of high accuracy; therefore, it is data you can trust. Also, using preloaded data is more cost-effective than having to invest in data extraction.
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5. Novada
Novada offers reliable retail datasets that you can use to make pre-informed decisions. You can utilize the different types of datasets such as Amazon products dataset, Shopee products, Walmart products, Amazon reviews, Shein products, Amazon product global dataset, Amazon Seller information, Amazon Best Seller, eBay, Amazon Walmart, Etsy, Amazon product search, Best Buy products, Google Shopping product Search, and much more.
Indeed, it has a wide range of retail datasets that you can use for AI recommendation systems. You are assured of convenient data filtering, ongoing data updates, and a developer-friendly API.
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6. Kaggle
Kaggle is another reliable platform that users can use to access retail datasets. It has over 15,000 retail datasets that can help users to make pre-informed decisions. The dataset you choose depends on the data that you want to use. For instance, you can consider certain datasets such as retail rocket recommender system, retail data analysis, predicting the sales of retail products, retail sales regression, retail price optimization, etc.
Kaggle also regularly hosts competitions and discussions to ensure users can collaborate easily. It has a wide range of dataset categories like computer science, education, classification, Computer vision, NLP, data visualization, and pre-trained models. With each dataset, you get information on collaborators, authors, coverage, DOI citation, and activity overview.
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7. Datarade.ai
Datarade.ai features reliable retail datasets that you can use to make pre-informed decisions. Therefore, whether you are an individual, a market researcher, or a data scientist, the information will be valuable.
Ultimately, you will improve overall business performance in the competitive retail landscape. You can filter the datasets based on attributes, data provider, country coverage, use case, category, and delivery method.
It features diverse delivery methods such as S3 Bucket, SFTP, Rest API, Email, USI Export, Feed API, Streaming API, Web socket, Google Cloud Storage, etc. With each dataset, you get information about: provider, pricing, description, country coverage, history, volume, suitable company sizes, delivery methods, use cases, categories, and related searches.
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8. AWS marketplace
AWS Marketplace offers over 2600 retail datasets for users to gain more insights into consumers and products. Not only are you assured of getting reliable datasets, but verified datasets that have been curated to ensure you get accurate content.
Some of the retail datasets include All Cloud’s GenAI for Retail and Consumer Goods Assessment, Amazon Q for retail, B2C retail pricing, Xemelgo Modern Retail Suite, Retail data analysis solution, etc. It supports certain delivery methods such as data exchange, SaaS, Sage Maker model, Amazon Machine Image, Sage Maker algorithm, etc.
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9. Cubig
Cubig is another platform where you can access the Amazon Sales Dataset. It includes product & consumer feedback, product attributes, price information, and much more. The data is in tabular format, a synesthetic data type, and labelling is by rating. It features details on over 1000 products obtained from Amazon; ratings, reviews, categories, discounted prices, etc.
The Amazon Sales Dataset can be valuable for analysis, data review, trend review, developing marketing strategies, and much more. Therefore, you can use it for price policy analysis, product recommendation systems, consumer purchasing behaviour, etc.
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10. Zenodo
Zenodo is another platform that offers retail datasets for AI recommendation systems. You just have to search for retail datasets and get an overview of all the datasets under that. You will gain access to some of the latest datasets and the most historical ones. It has publications and datasets; therefore, you need to be specific when searching to ensure you only get datasets.
With each of the datasets, you get information on who viewed and the number of downloads so far. Some of the retail datasets you can consider include the Global retail robotics market 2025 to 2034, the Europe grocery retail market 2025 – 2034, the investment behaviour of retail investors, and Food retail in remote Australia.
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Conclusion
Retail datasets can help you make informed decisions, whether you want to start a new business or ensure your existing one remains thriving. All these platforms, ranging from Brightdata, Thordata, Oxylabs, Infatica, Novada, Kaggle, Datarade, AWS marketplace, Cubig, and Zenodo, can help you get relevant data that you can use to ensure you understand your consumers better and understand the market trends well.
You need to ensure you find a dataset that answers the questions you currently have in mind to ensure you make some actionable decisions that will help you in an AI recommendation system. Therefore, access these valuable retail datasets today!
