Amazon Dataset Comparison 2026: Bright Data, Oxylabs, Grepsr & Exellius
Amazon datasets can support pricing intelligence, seller analysis, market research, and lead generation. However, buyers should compare providers not only by price and format, but also by data freshness, historical coverage, and delivery method.
For example, Bright Data is best suited for buyers seeking ready-made or customizable Amazon datasets, offering multiple delivery options, while Exellius focuses on Amazon seller lead data.
Provider | Starting price | Delivery | Formats |
|---|---|---|---|
$250 per 100K records | S3, Azure, GCS, Snowflake | JSON, CSV, Parquet | |
Custom Quote | S3, GCS, Alibaba Cloud | JSON, CSV, JSON | |
Exellius | $100 for 1,000 leads | SFTP, S3 Bucket | JSON CSV |
Grepsr | $350 | Drive, Dropbox, S3, Azure, FTP | JSON, CSV, XML, XLSX |
The best Amazon dataset services for 2026
Bright Data offers ready-to-use Amazon datasets for large-scale e-commerce analysis. Available categories include Amazon Products, Amazon Products Global, Amazon Best Seller Products, Amazon Reviews, and Amazon Sellers Info.
One key advantage is the ability to purchase the dataset segments you need, rather than the entire database.
- Data is available in JSON, NDJSON, CSV, XLSX, and Parquet formats.
- Data delivery options includeAmazon S3, Google Cloud, Azure, Snowflake, Webhook, Email, PubSub, and SFTP.
Pricing:
Pricing follows a flexible pay-per-record model, with significant discounts for ongoing subscriptions.
- The base price is $2.50 for every 1,000 records.
- Entry-level pricing starts at $250 for a one-time purchase of 100,000 records.
- Additional savings are available with subscriptions that include a set data refresh rate.
- Monthly: Save 80%
- Quarterly: Save 50%
- Biannual: Save 25%
Oxylabs provides structured public e-commerce data, primarily from major marketplaces such as Amazon and Walmart. The service is tailored to these leading retail platforms.
- Amazon data includes product details, category classifications, pricing history, and customer reviews.
- Walmart data covers product pricing, seller information, ratings, and real-time stock availability.
Data can be sent via SFTP or integrated with cloud storage solutions such as Amazon S3 and Google Cloud Storage.
Users can select the frequency of data updates to suit their requirements. Options include one-time or recurring schedules available monthly, quarterly, or biannually.
Pricing:
Instead of a fixed pricing model for the Amazon dataset, Oxylabs uses a “Contact Sales” approach.
Exellius focuses on Amazon seller lead data, including seller names, store details, business information, and contact data where available.
- Each lead includes up to three contacts per seller, focusing on roles such as CEO, marketing, or buyer.
- The data includes direct emails and mobile numbers that, according to Exellius, are not available from standard public sources.
Pricing:
Exellius offers a clear, tiered pricing model based on the number of verified leads.
- The starter plan costs $100 for 1,000 leads.
Grepsr sells ready-to-use Amazon product data for businesses. Supported formats include CSV, JSON, Parquet, and XML. For large-scale collections, Grepsr automates the delivery process to Amazon S3, Google Cloud, and Azure Cloud. Grepsr extracts a wide range of data points from Amazon, including:
- Product Metadata: ASIN, SKU, Product Title, and Brand.
- Pricing & Promotions: Current price, MSRP, discount percentages, and active coupon codes.
- Inventory & Logistics: Real-time stock levels, out-of-stock indicators, and fulfillment methods.
- Customer Sentiment: Review counts, star ratings, and even Q&A sections.
- AI Enrichment: They offer an optional AI layer that cleans data, analyzes review sentiment, and maps products to competitors.
Pricing:
- Starter Pack ($350 – one-time): For one-time extractions from standard websites. It includes basic data processing, 24/7 email support, and access to the Grepsr platform.
When to choose a ready-made dataset over a scraper API?
Ready-made datasets are appropriate when training machine learning or artificial intelligence models:
For projects that require millions of records, such as training recommendation engines or identifying price patterns, utilizing a ready-made dataset is advisable. Platforms such as Bright Data and Oxylabs offer immediate access to over 400 million records. In contrast, collecting this volume of data through an API may take several weeks and is susceptible to errors.
Ready-made datasets are also suitable for historical context and trend analysis:
Scraper APIs provide current data. To analyze changes in product prices or rankings over the past 12 to 24 months, such as for Black Friday planning, a historical dataset is necessary. For example, Grepsr specializes in long-term data solutions.
Compliance considerations for Amazon datasets
Legal and contractual rules can vary for public web data, seller contacts, product reviews, and pricing.
Buyers need to distinguish between third-party web datasets and Amazon’s official APIs. The Selling Partner API is for approved sellers, vendors, and developers who need access to authorized marketplace data. Advertising and affiliate APIs have their own rules for who can use them, how data is stored, and how they can be used.
When using outreach or lead-generation datasets, companies should check how the provider got the data, if it includes personal contact details, and whether it can legally be used for email, phone, or SMS outreach in the target area.
FAQs
Yes, most providers, including Bright Data and Grepsr, offer demo data or sample sets in JSON or CSV formats. This allows you to review the schema before making a purchase.
Bright Data’s Subset feature allows you to exclude unnecessary columns. For sales outreach, Exellius’s $100 Starter Pack is a practical starting point.
If you use Spark or Hadoop, Parquet, supported by Grepsr and Bright Data, offers significantly faster, more cost-effective processing than CSV or JSON.
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