Stop manually checking competitor websites one by one. ScrapeWise lets you track competitor pricing across multiple sites automatically, monitors prices daily across any e-commerce site, and keeps a price history so you can see when competitors change their pricing.
A competitor drops their price on Monday. You notice on Friday, because nobody opens twelve tabs every morning. The gap you could have closed in a day stayed open for a week.
Manually checking 10 competitor websites is manageable. Checking 100 across multiple markets and product categories is impossible without automation.
Your developer built competitor price tracking scripts, but they break every time a website changes its layout. Now your best engineers spend their time fixing scrapers instead of building product.
Without historical competitor price data, you can't spot trends, seasonal patterns, or tell a permanent repositioning apart from a three-day promotion.
Unauthorized sellers undercut your pricing and damage your brand. Without automated monitoring, MAP violations go undetected until customers complain.
Every competitor site has different HTML, different anti-bot defenses, different pagination. The best way to track competitor pricing across multiple sites isn't a script per domain — it's one system that adapts automatically when any of them changes layout.
Per 1,000 delivered pages — no plan, no seats, no compute units to convert
Ready-made scraper endpoints for marketplaces and retailers, callable directly
Free requests on every new account — check your own competitors before you commit
Tell us which competitor websites and products to track. We help configure the initial setup so monitoring starts immediately.
Prices are extracted automatically on your schedule. AI matches products across competitor sites for accurate apples-to-apples comparison.
See when competitors change prices in your price history. Use structured pricing data to adjust your strategy, protect margins, and win more sales.
This is what actually happens between a competitor editing a price and your pricing team seeing a number they can act on. One SKU, four competitor listings, one real change.
Each listing is fetched with JavaScript rendering, so prices injected after page load are read the same as static ones. The market matters as much as the markup: on international retailers the storefront currency is set by session and cookie state, not by the URL, so a page requested carelessly can return a price from the wrong country. Each run pins the market first, then reads the price.
retailer-b.com moved from EUR 124.90 to EUR 104.90 — a genuine 16% cut on the exact size you sell. marketplace-c.eu at EUR 189.00 is a two-pair bundle and is excluded, not averaged in. retailer-d.fr is out of stock, so it publishes no price rather than a zero. Three of the four listings produce no alert, which is the point.
The change lands as a structured row with the old price, the new price, the timestamp and the listing URL — in your dashboard's price history, a CSV export, or the REST API. Your pricing rule reads it directly. Nobody opens a competitor's website unless the number is worth a decision.
Price tracking looks like a solved problem until you run it across a hundred domains for a month. These are the four failure modes that turn a working scraper into a wrong number, and what each one costs when it slips through.
A large share of modern storefronts render the price client-side, or load it from a separate pricing call after the page paints. A plain HTTP fetch returns the template with an empty price slot. The dangerous version is not an error — it is a page that still parses, and quietly yields the strike-through list price instead of the live one.
International retailers decide which storefront you see from session and cookie state, not from the path. Request the same URL without pinning the market and you can receive a different currency, a different tax treatment and a different number entirely — with no error and nothing in the page that says so. Tracking that ignores this compares your euro price against a foreign-market figure.
A price you see once tells you nothing. A three-day voucher and a permanent repositioning look identical in a single snapshot, and only the second one should move your price. This is the entire argument for keeping history: the decision depends on whether the number came back tomorrow.
The most expensive error is not a failed fetch — it is a successful one against the wrong listing. Bundles, multipacks, a different size, a marketplace seller's refurbished unit. The number is correct and the comparison is meaningless, which is why matching has to happen before the price is used at all.
Automated tracking fails loudly when it cannot read a page, and silently when it reads the wrong one. Silent is the expensive kind — it produces a confident number that walks straight into a repricing rule.
A two-pair listing at EUR 189.00 reads as a competitor pricing 14% under you per pair. Averaged into your comparison, it drags your entire price position down and triggers a cut you never needed to make.
The lowest offer on a marketplace listing is frequently a third-party seller, sometimes refurbished, sometimes with two-week delivery. That is not the price your customer compares you against — the buy-box price is.
Basket-level discounts and logged-in member pricing never appear on the product page. Treat the shelf price as the whole story and you will consistently read competitors as more expensive than they are.
You supply the competitors and the products. You receive a dated price row per listing, matched to your own SKU.
Product URLs, category pages or a search page per competitor. Any publicly accessible retailer, marketplace or brand store.
SKU, title and your current price. CSV upload or API push. Used to match competitor listings back to your products.
SNK-AM90-42, Air Max 90 EU 42, EUR 110.00How often each listing is re-checked. Daily is the default for active categories.
On by default. Multi-unit listings are kept out of the price comparison rather than averaged into it.
Pins the storefront so international retailers return the currency and tax treatment you actually compete in.
One row per competitor listing, 10 columns each
Delivered by REST API, CSV export or a scheduled email. Every row is dated, so a price change can be traced back to the run that found it.
One row per competitor listing per run, keyed to your SKU. This is the Monday drop above as it lands in your system.
| your_sku | competitor_url | price | previous_price | availability | seller_type | checked_at |
|---|---|---|---|---|---|---|
| SNK-AM90-42 | retailer-a.de/p/... | EUR 119.00 | EUR 119.00 | in stock | retailer | 2026-09-21 |
| SNK-AM90-42 | retailer-b.com/p/... | EUR 104.90 | EUR 124.90 | in stock | retailer | 2026-09-21 |
| SNK-AM90-42 | marketplace-c.eu/i/... | EUR 189.00 | EUR 189.00 | in stock | bundle — excluded | 2026-09-21 |
| SNK-AM90-42 | retailer-d.fr/p/... | EUR 121.00 | out of stock | retailer | 2026-09-21 |
See a competitor's new price after the next scheduled run, without opening their site.
Monitor prices on any e-commerce site, marketplace, or retailer from one dashboard. Unlike tools limited to specific platforms, ScrapeWise tracks competitor pricing across multiple sites automatically, with no per-site setup work.
No developers needed. Business teams configure competitor price tracking themselves. Scrapers auto-adapt when websites change their layout.
Put every competitor product page into one scheduled tool instead of checking sites yourself. Add the URLs you care about and pick a daily, every few days, weekly or monthly schedule, or run it on demand. ScrapeWise extracts price, stock and product details on each run, including JavaScript-heavy pages.
The best way to track competitor pricing across multiple sites is one system with one data format for every competitor. ScrapeWise puts every site into the same structure and matches identical products across competitors by identifier such as EAN or GTIN, so you compare like for like in one dashboard.
You should not have to check competitor sites by hand. Each run saves the latest prices, so you see what changed in the dashboard's price history, in a CSV export or through the REST API. You only open a competitor's site when a change is worth acting on.
Start tracking competitor prices automatically. ScrapeWise monitors any website and delivers clean, structured pricing data — so you never get undercut without knowing.
Common questions about competitor price tracking with ScrapeWise.
You tell us which competitor websites and products to track. ScrapeWise extracts prices automatically on your schedule and delivers structured data to your dashboard or via API.