Paste your product page and a competitor's — we'll fetch both live and show you exactly how your price compares. No sign-up, no email, no waiting.
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A price comparison is only useful if it's comparing the same product. Here's what happens behind the scenes on every check above.
Schema.org product data is read first — JSON-LD, then microdata. Only if a page publishes neither do we read the price off the page itself, and only from an element that says it holds a price. The same first pass ScrapeWise runs before its proxy and anti-bot layers take over on harder sites.
Brand, model/SKU codes, and product titles are compared across both pages. If they don't look like the same product, we flag it instead of showing a misleading price difference.
Every result is labelled High, Medium, or Low, with one sentence saying why — a page blocked the request, or the two pages do not look like the same product.
A real run against two Amazon listings, both of which a keyword-matching price checker would have treated as the same headset. Prices as fetched on 21 September 2026.
These don't look like the same product
Different brands detected ("jabra" vs "delton") — the price gap below is not a like-for-like comparison.
A checker that matched on the words "wireless headset" would have reported a 627% price gap and a pricing manager would have acted on it.
| Extracted field | Your product (amazon.com) | Competitor (amazon.com) | Alignment |
|---|---|---|---|
| Product title | Jabra Evolve2 65 Flex Stereo Headset | Delton 20X Wireless Computer Headset | Differs |
| Brand | Jabra | Delton | Differs |
| Current price | $284.72 | $39.17 | Differs |
| Availability | In stock | Only 6 left | Differs |
| Rating & reviews | 4.2 (17 reviews) | 4.0 (223 reviews) | Differs |
| Product identifiers | ASIN, UPC | ASIN, UPC | Both found |
| Price source | Screen-reader element | Screen-reader element | Both found |
Note the last row. Amazon publishes no schema markup on product pages at all — no JSON-LD, no microdata — so both prices were read from the screen-reader-only element the page writes for accessibility. A scraper that only reads schema markup would have returned nothing at all for this comparison.
This tool does one lightweight fetch per URL. That is enough for most retailer product pages and not enough for some. Here is exactly where it stops.
Some stores ship an empty HTML shell and paint the price in the browser afterwards. A single fetch sees the shell, not the number. We detect this (a page with a mount point and almost no visible text) and tell you the price is unclear rather than guessing from some other number on the page.
What fixes it: A real browser rendering the page before extraction — the Render tier in ScrapeWise.
Retailers behind Akamai, DataDome, or PerimeterX answer an automated fetch with a 403 or a challenge page. Best Buy and Target both do this, which is why neither is used as the example above. The refusal is the site's, not a bug in the extraction.
What fixes it: Residential proxies and browser fingerprint matching — the Super tier.
Schema markup is read first because it is unambiguous — JSON-LD, then microdata. Plenty of real product pages publish neither: Amazon ships no schema at all. We then read the screen-reader-only price element, or an element whose own markup labels it as the price, which is why the example above still returned two prices.
What fixes it: Nothing — this already works, but it is why schema-only scrapers return empty results.
On one Estonian telecoms site a €1,519 phone came back as €12.99, lifted from a "next package 12.99 €" entry in the navigation menu sitting above the product. Reading from inside the element actually labelled as the price is the difference between a useful number and a confident wrong one.
What fixes it: Nothing — but it is the single most common way a naive price checker lies to you.
A configurable product with sizes or colours, or a listing page with twenty products on it, has no single price to extract. Paste the specific variant URL your customer would actually land on.
What fixes it: Variant-level URLs, or catalogue-wide monitoring that tracks each variant separately.
B2B portals and wholesalers routinely show a price only to signed-in trade accounts, and some retailers price by delivery country. An anonymous fetch sees whatever a logged-out visitor in our region sees.
What fixes it: Authenticated sessions and geo-targeted requests — both available in managed monitoring.
Checking a handful of URLs by hand runs into these walls occasionally. Checking a few thousand a week runs into them constantly — which is the case automated competitor price tracking exists to solve. If you're still doing it in a spreadsheet, we costed that out in what manual competitor price collection really costs. And if you don't have the two URLs yet, the free product URL extractor pulls every product page out of a competitor's category in one go. And if you're pricing up doing this on a scraping platform instead, the Apify pricing calculator works out what the compute units and proxy GB actually come to.
How the competitor price checker works.
We fetch both URLs live and read the price from the strongest signal the page offers, in order: schema.org JSON-LD, schema.org microdata, the screen-reader-only price element, then an element whose own markup labels it as the price. If a page offers none of those we tell you no price was found rather than reporting a number we guessed at — the same first pass ScrapeWise's real monitoring engine runs before deeper extraction.
ScrapeWise monitors your competitors automatically and alerts you the moment a price changes.