Turn Web Pages into Structured Data
Pre-built, refreshed datasets from Amazon, Walmart, and 100+ retailers — ready for analytics, AI, and pricing intelligence.
What is a structured e-commerce dataset? It's pre-collected, cleaned web data from online retailers — organized into a consistent schema (e.g., ASIN, price, rating, review count). Instead of building and maintaining scrapers for Amazon, Walmart, or other marketplaces, you start with rows you can query, join, or load into a model immediately.
Every e-commerce dataset on this page is sourced and refreshed by the same infrastructure behind the ScraperScoop API. That means 99.95% uptime, hourly/daily refreshes, and the same data quality — without writing a single request. Choose from JSON, CSV, or direct warehouse delivery (Snowflake, BigQuery, S3).
If nothing here matches your exact needs, our custom web scraping team can build a dataset around your specific targets, fields, and refresh schedule.
Australia eBay Dataset
Australia Kogan Dataset
Russia Wildberries Dataset
Russia Ozon Dataset
Russia Yandex Market Dataset
South Korea Coupang Dataset
South Korea 11Street Dataset
South Korea Gmarket Dataset
Mexico Mercado Libre Dataset
Australia eBay Dataset
{
"asin": "B08N5WRWNW",
"price": 89.99,
"buy_box_seller": "Amazon.com",
"rating": 4.6,
"review_count": 18420,
"bsr_rank": 312
}
Flexible plans for every data need
Choose the plan that fits your data volume and refresh frequency. All plans include a free sample export.
Professional
- 500,000 records / month
- Hourly refresh
- JSON / CSV / S3 delivery
- Priority support
- Custom field mapping
Enterprise
- Unlimited records
- Real-time refresh
- Warehouse delivery (Snowflake, BigQuery)
- Dedicated data engineer
- SLA guarantee
* All plans include a free sample export so you can validate data quality before committing.
Built for data teams, by data engineers
Zero Infrastructure
No proxies, no CAPTCHA solving, no parser maintenance. We handle the entire pipeline so you can focus on analysis.
Clean, Normalised Schemas
Every dataset follows a consistent, documented schema. Fields are standardised across sources — no messy ETL required.
Fresh Data, Always
Hourly or daily refreshes ensure you're never working with stale data. Our infrastructure runs 24/7/365 with 99.95% uptime.
Same-Day Delivery
Get your first dataset export within 24 hours of signing up. No long onboarding or complex integration work.
Enterprise-Grade Security
Data is encrypted in transit and at rest. We comply with GDPR and CCPA, and offer custom data licensing terms.
AI-Ready Data
Our datasets are structured for machine learning, analytics, and AI models. Clean, labelled, and ready to train.
How teams use e-commerce datasets
📈 Competitive Price Monitoring
Track competitor pricing, promotions, and Buy Box ownership in real time to optimise your own pricing strategy.
⭐ Sentiment & Review Analysis
Aggregate customer reviews and ratings to identify product strengths, weaknesses, and emerging trends.
📦 Inventory & Stock Tracking
Monitor stock levels and availability across retailers to detect supply chain gaps or spot restocking opportunities.
🤖 Machine Learning Training
Use clean, labelled e-commerce data to train price prediction models, recommendation engines, or demand forecasting.
Get your e-commerce data in 4 steps
Choose a dataset
Browse our catalogue of pre-built e-commerce datasets. Filter by source, field coverage, or refresh frequency.
Request a free sample
Get a real data export within 24 hours. Validate schema, coverage, and quality — no commitment required.
Select your plan
Choose a subscription that matches your volume and refresh needs. Upgrade or downgrade anytime.
Start receiving data
Data lands in your preferred format — JSON, CSV, S3, Snowflake, BigQuery — on schedule, every time.
Need a custom e-commerce dataset?
Not seeing your exact target sites, fields, or refresh schedule? Our custom web scraping team can build a dataset tailored to your requirements.
Trusted by data teams worldwide
"The sample export matched our production data almost exactly. We were querying real records within a day of signing up."
"We didn't have the engineering time to build a scraper. The e-commerce dataset gave us exactly what we needed off the shelf."
"Warehouse delivery meant zero integration work on our end. It just started showing up in Snowflake on schedule."
Questions about e-commerce datasets
Get a free sample from any e-commerce dataset
Tell us which dataset you're evaluating and we'll send a real export within one business day.
No commitment required to see real data first.
