Verified product matching
Connect the same or comparable products across stores even when product names, pictures, codes and URLs differ.
Features
Operational features for enterprise price monitoring.
Getrealprice is designed around long-running cooperation: matching, crawling, support, dashboards, alerts, storage and data delivery all need to work together.
Feature set
The most common capabilities across client segments.
Crawling and recovery operations
Managed parsers, schedules, incident handling and escalation logic for difficult sources and mobile applications.
Flexible data delivery
Dashboard, XLSX, CSV, JSON, API, HTTPS links, SFTP, GCS, Azure and custom delivery routes.
Price history and alerts
Long-term price storage, automatic alerts, price barometers and exception files for management workflows.
Dashboard for manual review
Browser access to product matches, competitor prices, price history, catalog range and deviation views.
Operational support
Contact-person workflows, meetings, email, phone, ticket-style communication and optional intensive support.
Architecture
Built as a managed infrastructure layer, not a one-off scraper.
The service combines software, operations and client communication. That matters when a site changes layout, anti-crawling behavior appears, or reporting templates need to change.
- Inspector software for managing different crawler behaviors.
- Matching machine for products without reliable shared identifiers.
- Crawler management for parser recovery and schedule control.
- Proxy, rendering and crawling infrastructure for difficult sources.
- Retail dashboard for manual checks, price history and matching review.
- Custom delivery workflows for enterprise data teams.
Operating evidence
In ops since 2012. We know the markets.
Fresh operations materials describe cross-market coverage, large historical storage, daily updates and multi-country crawling infrastructure.
EU, GCC and non-EU monitoring routes in current operations.
Referenced in current operating evidence.
Large-scale price observations updated in daily workflows.
Products represented across the historical database.
Advanced workflows
Move from monitoring to pricing operations when the data is stable.
Demand-dependent price calculation becomes realistic after regular monitoring, matching and delivery workflows have proven stable.
Competitor-dependent pricing
Use competitor prices as a structured input to internal pricing rules.
Demand-dependent pricing
Combine competitor movement with sales or demand levels after baseline monitoring is stable.
Need to discuss a real configuration?
Complex scopes work best when matching, sources, delivery, freshness and support requirements are reviewed together.