Fast, non-disruptive parsing
Dedicated crawling farms, source-specific schedules and rapid parser recovery keep competitor sites stable while data flows on time.









Estimate scopeWhy Getrealprice
We work with some of the largest retail and FMCG companies in the US and EU. Price intelligence cases are typically non-public — see getrealprice.com for the master reference page and our LinkedIn for depersonalized case summaries. Through our References program, procurement teams can arrange 5–10 minute phone or Microsoft Teams calls with existing EU clients who already use Getrealprice for price monitoring and product matching.
Dedicated crawling farms, source-specific schedules and rapid parser recovery keep competitor sites stable while data flows on time.
Patented matching technology: CIS – Local Software secure service; Europe – WIPO int #1448888; USA – Library of Congress; UNGM – 968398; EU PIC – 869438452. Equivalent products are paired without relying on EAN codes — verified by human QA and AI-assisted review.
We benchmark our own commercial pricing per country — researched in Polish for Poland, Czech for Czechia — so clients always receive more value than alternatives.
Structured product feeds, API delivery and machine-readable outputs prepare e-commerce data for AI agents and automated pricing workflows.

Sample filtered price-match export — structured for AI retail analytics, price tracking and downstream PIM for e-commerce workflows.
Download price_match_filtered.xls
Getrealprice.ai
The 2026 dashboard adds an AI layer with local model interpretation — speak with your dashboard through RAG, reduce cognitive load and surface actionable pricing signals.

Ask questions in natural language and receive answers grounded in your monitored market — the AI layer interprets dashboard data without exporting spreadsheets first.

Follower score, reaction rate, average lag and fast-reaction share reveal which retailers lead price moves and which follow.
Products needing attention, volatility signals and competitor pressure scores in one daily view.
Brand-level development plans, portfolio pressure and cross-retailer brand positioning.
Drill down to individual products — detect patterns, forecast prices and track promotion cycles from pre-computed signals.
Model prices on a shopping list — compare basket totals across retailers and simulate promotion impact before repricing.
Test pricing assumptions with modeling — validate whether a competitor move is structural or noise before changing your own prices.
Visualize recurring price cycles, promotion windows and cross-retailer pattern clusters from pre-computed signals.
Colored retailer names below reflect real monitored sources in a pharmacy and cosmetics cluster — the same product-matching backbone scales to grocery, DIY and electronics.
Getrealprice.ai
Teams see what changed overnight, which products need attention, which competitors moved aggressively and where pricing opportunities appear.

Sample reports
Open anonymous executive pricing intelligence reports by retailer. PDF downloads available next to each source.
| Retailer | HTML report | |
|---|---|---|
| *lbert | Open HTML | Download PDF |
| *illa *Z | Open HTML | Download PDF |
| *m CZ | Open HTML | Download PDF |
| T*s*o CZ | Open HTML | Download PDF |
| *ošík | Open HTML | Download PDF |
| Ross*ann CZ | Open HTML | Download PDF |
| *otino CZ | Open HTML | Download PDF |
Enterprise readiness
Our infrastructure satisfies enterprise RFP criteria — from SFTP delivery and multi-frequency schedules to 24/7 support options and shared GitLab issue tracking.
Getrealprice assigns a dedicated contact person on each side. Your contact person and ours accumulate issues from matching, category management, IT crawling support, marketing, pricing and SaaS teams — resolved through direct communication and a shared self-hosted GitLab instance deployed for your project.
EAN and non-EAN matching, manual pairing tools, weekly new-arrival checks — up to 300,000 matches per week capacity.
SFTP, HTTPS, XLSX, CSV, JSON, API feeds, GCS, Azure and custom templates — zero integration setup cost for clients.
Hot products 4× daily, 1P twice daily, 3P daily — plus on-demand crawling for Black Friday, Christmas and special events.
Proxmox cluster in Amsterdam, 500+ rendering cores (5,000 activatable in one week), 56,000+ IPs per country with full rotation.
Dedicated contact person, email, phone, WhatsApp, Telegram and self-hosted GitLab shared with your team. Optional 24/7 duty engineer.
New SKU in scanning: next day. New platform: 1–3 days. New price cluster: 1 day. Free user training for the first three months.

Integrations
From dashboard access for manual review to automated feeds into your data warehouse — all integration paths included at no setup cost.
Dashboards, alerts, review queues and export files for category management, pricing and procurement workflows.
Observed prices become high-frequency market signals, basket monitoring and audit-friendly methodology notes.
XLSX, CSV, JSON, API-style feeds, SFTP, cloud storage or management-ready PDF reports.
Sample reports show pricing queues, market pressure, abnormal price movements and public-market summaries.

B2G
For chambers, statistics centers and economic boards — transparent consumer price datasets with audit-friendly methodology notes.
Self-hosted infrastructure
Getrealprice operates its own rendering software watcher and balance manager across a GPU and CPU farm — local AI models run on owned hardware without dependency on third-party inference APIs. Rendering farms scale from 500 active cores to 5,000 activatable within one week.
Sustainable development
Transparent price data supports fair markets, informed consumer choices and evidence-based public policy.
Getrealprice is a registered partner in the official procurement platform of the United Nations (UNGM #968398). ungm.org

Enterprise-grade monitoring creates skilled jobs in data operations while helping retailers compete fairly.
Patented matching technology and EU-hosted infrastructure advance retail data innovation.
Price transparency reduces information asymmetry — buyers see real differences across stores and channels.
Source difficulty
Before quoting, Getrealprice classifies each competitor site by operational difficulty. Easy sources keep monitoring costs predictable; nightmare sources require dedicated infrastructure and affect both setup and monthly fees.
Stable public pages, standard e-commerce markup, predictable response times and no active anti-bot layer — lowest monitoring cost per SKU.
CDN layers, platform-specific rendering, rate limits or mobile-app endpoints — needs source-specific schedules and moderate operational overhead.
Bot management, CAPTCHA triggers, frequent layout changes or partial catalog visibility — requires dedicated parser maintenance and higher per-site fees.
Aggressive blocking, legal restrictions, app-only catalogs or sources that change anti-crawling weekly — scoped separately with explicit risk disclosure before contract.
Budget estimate
Adjust competitors, product count and update intensity. Existing vendor migrations should go straight to consultation.
Contact
Enterprise clients choose the channel that fits their procurement and security requirements.
Direct line to your dedicated contact person for scope, SLA and commercial questions.
mail - at - lv.getrealprice.comScan the QR code to start a WhatsApp conversation with our team.

Scan the QR code for Telegram — useful for quick operational questions.

Schedule a video call to review scope, see live dashboard demos and discuss POC options.
Trust






Whether you need 8 competitor sites or 80 — we will map the monitoring architecture before the first invoice.