Competitor prices changed an hour ago. Yours just adjusted.
Starts at € 400/month. Includes scraping, logic, and maintenance.
Manual price checks don't scale
Your competitor changed their prices. Maybe on their website, maybe on a marketplace, maybe behind a quote form. You find out when a customer tells you, or when you lose the deal. By then it’s too late. We build a system that scrapes competitor prices on your schedule, compares them against your current pricing and your rules (margins, floors, ceilings, competitive position targets), and acts. In the simplest version, you get an alert with a recommendation. In the full version, the system adjusts your prices automatically within the guardrails you define.
Scrape any pricing source
Competitor websites, marketplaces, OTAs, comparison sites, quote forms. If a human can see the price, we can collect it.
Your rules, enforced automatically
Minimum margins, price floors, maximum discounts, position targets (e.g., always 5% below competitor X). You define the rules. The system applies them.
Recommend or auto-adjust
Start with recommendations and manual approval. Move to automatic adjustment when you trust the rules. Mix both: auto-adjust for routine changes, approve for large swings.
Push to your systems
Adjusted prices pushed to your ecommerce platform, PMS, ERP, or any system with an API. No copy-paste, no manual updates.
What most teams try first
Manual competitor price checks
Simple. Your team browses competitor sites.
Works for 5 SKUs and 2 competitors. At 100+ SKUs across 5 sources, it’s a full-time job that’s always behind.
Price monitoring SaaS
Automated collection, dashboards, alerts.
They tell you what happened. They don’t adjust your prices. And they struggle with sources behind logins, quote forms, or anti-bot protections.
Dynamic pricing platforms (Prisync, Competera)
End-to-end: monitor + recommend + adjust.
They rely on their own data sources. If your competitors aren’t in their database, or if your pricing model is non-standard, you’re building workarounds.
Built for these situations
Tell us who you compete with on price
Which competitors, which products, which platforms? We’ll assess the sources and scope the system.
Get a QuoteFrom stale spreadsheets to automated price response
Map competitor sources
We identify where each competitor publishes prices: websites, marketplaces, OTAs, quote forms. We assess each for scrapability, update frequency, and anti-bot complexity.
Define your pricing rules
Minimum margins, price floors and ceilings, competitive position targets, product-level exceptions. We encode your pricing logic into the system.
Build the pipeline
Scrapers collect competitor prices on your schedule. The system compares, applies your rules, and generates recommendations or auto-adjustments. 3 to 5 weeks.
Start with recommendations
The system sends proposed adjustments to your team for review. You approve, modify, or reject. This phase validates the rules before enabling auto-adjustment.
Enable auto-adjustment
When you trust the rules, flip specific product categories or price ranges to automatic. The system adjusts within your guardrails and logs every change for audit.
Maintain and refine
Competitor websites change. New products appear. We maintain the scrapers and you refine the rules. The system gets smarter as your pricing strategy evolves.
Why choose Stratalis
We scrape the prices others can’t
Competitors behind logins, multi-step quote forms, JavaScript-heavy storefronts, anti-bot protections. We handle the data collection that pricing SaaS tools can’t.
Guardrails, not just automation
Auto-adjustment without guardrails is a race to the bottom. We build price floors, margin minimums, and change rate limits into every system. The automation follows your strategy, not just the market.
Gradual automation
Start with alerts and recommendations. Move to semi-automatic (approve changes above a threshold). Progress to fully automatic for categories you’re confident about. You control the speed of adoption.
Audit trail
Every price change is logged: what triggered it, what the competitor price was, what rule applied, and what the system did. Full visibility for commercial teams and compliance.
FAQ
We handle both. For login-protected prices, we automate authenticated sessions. For quote forms, we automate form submission with your product parameters and extract the returned price. This is core web automation for us.
As often as you need. Hourly for fast-moving markets (ecommerce, OTAs). Daily for most B2B pricing. We calibrate the frequency to the market pace and the cost of being stale.
Yes. We push adjusted prices via API to Shopify, WooCommerce, Magento, PrestaShop, or any platform with an API. For systems without APIs, we automate the admin interface directly.
The system includes anomaly detection. If a competitor price drops 80% overnight, it gets flagged for review instead of triggering an automatic adjustment. You define the anomaly thresholds.
Dynamic pricing platforms rely on their own data sources and standard pricing models. We build on scraping, so we can collect prices from any public source. And we encode your specific pricing logic, not a generic algorithm. The result is a system built for your market, not a generic tool you adapt to.