Amazon Dataset Comparison 2026: Bright Data, Oxylabs, Grepsr & Exellius
Bright Data and Oxylabs’ Amazon datasets are recognized as market leaders due to their scalable product archives. The industry has diversified into specialized niches. Exellius provides verified decision-maker contacts for B2B sales outreach, offering capabilities that exceed those of standard scrapers. Grepsr delivers a managed service focused on historical trend analysis.
This review compares these five leading providers to facilitate informed selection among options prioritizing raw data scale, managed data pipelines, or targeted lead generation.
Provider | Starting price | Delivery | Formats |
|---|---|---|---|
$250 per 100K records | S3, Azure, GCS, Snowflake | JSONCSV Parquet | |
Custom Quote | S3, GCS, Alibaba Cloud | JSONCSV ndJSON | |
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
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 only 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
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 is delivered primarily in JSON and CSV formats. 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
Exellius offers an Amazon Seller Database that enables businesses to connect directly with Amazon sellers. Exellius Amazon dataset includes contact information for key decision-makers associated with each seller account.
- 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
Grepsr sells ready-to-use Amazon product data for businesses. Supported formats include CSV, XLSX, JSON, XML, and YAML. 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 the data, performs sentiment analysis on reviews, 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 should you choose a ready-made dataset over a scraper API?
Criteria for selecting a dataset for Amazon data:
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 only 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.
FAQs about Amazon Datasets
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