Ecommerce Data for Market Intelligence
Structured data from major marketplaces and retailers to monitor pricing, stock, and catalog changes at scale: delivered as datasets, real-time feeds, or fully managed collection.
- Real-time pricing and inventory signals
- High-velocity feed delivery
- 99.99% uptime for production workloads
&w=3840&q=80)
ㅤㅤ
ㅤㅤ
Turn ecommerce volatility into structured intelligence
Ecommerce markets shift by the second: prices fluctuate, inventory drops, and listings vary by region and session. Standard extraction breaks when sites update their layouts or rate limits. We architect the infrastructure to capture this volatility - stable schemas, adaptive parsing, and delivery that fits your pipeline.
&w=3840&q=80)
ㅤㅤ
ㅤㅤ
Built for market intelligence workflows
- Dynamic pricing intelligence: real-time price tracking, buy box monitoring, and regional arbitrage detection across marketplaces
- Catalog operations: new arrival detection, variant mapping (size, color, bundles), and assortment gap analysis
- Brand protection: unauthorized seller detection, listing reuse pattern tracking, and MAP monitoring
- Competitive benchmarking: category-level price indices, trend analysis, and share-of-shelf tracking
&w=3840&q=80)
Supported targets
Coverage across major marketplaces and direct-to-consumer retailers:
- Amazon
- Shein
- Shopee
- Naver
- Walmart
- eBay
- Target
- Wayfair
- Home Depot
- …and many more
What teams use ecommerce data for
Pricing & competitive intelligence
Track real-time pricing, availability, and buy box dynamics across marketplaces. Benchmark competitors, monitor promotional patterns, generate category-level price indices with validated data.
Product & catalog monitoring
Detect new arrivals, delistings, and assortment changes across channels. Normalize product variants (size, color, bundles) to master SKUs, and validate attribute completeness with automated specification checks.
Brand protection & marketplace ops
Identify unauthorized sellers and listing reuse patterns across platforms. Monitor MAP compliance, track counterfeit indicators, and enforce content policy standards with automated governance alerts.
Delivered data
Structured fields mapped to your schema: validated and deduplicated.
Search & discovery
Search results, category listings, rank/position data, filter states, and taxonomy trees
Product core
Titles, descriptions, specifications, attributes, images, variant/SKU relationships, and core identifiers
Commercial signals
Base and promotional pricing, currency, stock availability, seller identity, and shipping indicators
Reputation data
Rating distributions, review volumes, full review text (where compliant), and sentiment signals
Key capabilities
ㅤㅤ
Adaptive resilience
Infrastructure adjusts to layout changes and anti-bot measures automatically - no engineering sprints fixing broken selectors
&w=3840&q=80)
Geo-specific capture
Currency, availability, and catalog variations by country, language, and location
&w=3840&q=80)
Variant normalization
Handles "one product → many SKUs" cleanly so downstream systems don't break
&w=3840&q=80)
Stable schema
Aligned structure early, validated outputs, and change control to prevent pipeline disruption
&w=3840&q=80)
Choose your delivery model
Datasets (bulk delivery)
Structured exports for historical analysis, model training, and backfills. Formats: JSON / JSONL / CSV / Parquet
Real-time APIs
On-demand access for live ranking checks and dynamic SERP monitoring. Pull new results instantly for time-critical workflows.
Managed collection
We operate extraction and adaptive maintenance on our directly operated network. You receive clean, validated outputs on schedule.
ㅤㅤ
ㅤㅤ
Scope → Sample → Scale
Validate the approach before committing to production volume.
- Define targets, schema, and delivery constraints
- Validate technical feasibility and access requirements
- Deliver pilot dataset for schema testing
- Iterate on parsing logic and quality rules
- Deploy production pipelines with SLAs and monitoring
- Continuous operation with adaptive maintenance and support
ㅤㅤ
ㅤㅤ
Getting to production
Discuss your data requirements, technical constraints, and compliance needs with our engineering team. We'll analyze your target sources and provide an implementation plan.