Differences

~~Removed text~~ Inserted Text Ignore Whitespace

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1 hour ago

{ "@type": "Offer", "url": "https://24hstore.vn/iphone-xs-cu/iphone-xs-64gb-cu-p3395", "priceCurrency": "VND", "price": "3590000", "priceSpecification": { "@type": "UnitPriceSpecification", "priceType": "https://schema.org/StrikethroughPrice", "price": "9790000", "priceCurrency": "VND" }, "priceValidUntil": "2026-12-31", "availability": "https://schema.org/InStock", "itemCondition": "https://schema.org/UsedCondition", "shippingDetails": { "@type": "OfferShippingDetails", "shippingRate": { "@type": "MonetaryAmount", "value": "0", "currency": "VND" }, "deliveryTime": { "@type": "ShippingDeliveryTime", "businessDays": { "@type": "OpeningHoursSpecification", "dayOfWeek": [ "https://schema.org/Monday", "https://schema.org/Tuesday", "https://schema.org/Wednesday", "https://schema.org/Thursday", "https://schema.org/Friday" ] }, "handlingTime": { "@type": "QuantitativeValue", "minValue": 0, "maxValue": 4, "unitCode": "DAY" }, "transitTime": { "@type": "QuantitativeValue", "minValue": 0, "maxValue": 0, "unitCode": "DAY" } }, "shippingDestination": [ { "@type": "DefinedRegion", "addressCountry": "VN", "addressRegion": [ "VN" ] } ] }, "hasMerchantReturnPolicy": { "@type": "MerchantReturnPolicy", "returnPolicyCategory": "https://schema.org/MerchantReturnFiniteReturnWindow", "merchantReturnDays": 46, "returnMethod": "https://schema.org/ReturnInStore", "returnFees": "https://schema.org/ReturnFeesCustomerResponsibility", "refundType": "https://schema.org/StoreCreditRefund", "applicableCountry": { "@type": "Country", "name": "VN" } } }

Diff algorithm from the amazing github.com/kpdecker/jsdiff

For now, Differences are performed on text, not graphically, only the latest screenshot is available.

Screenshot requires Playwright/WebDriver enabled

This tool will extract text data from all of the watch history.

RegEx to extract

A RegEx is a pattern that identifies exactly which part inside of the text that you want to extract.

For example, to extract only the numbers from text ‐
Raw text: Temperature 5.5°C in Sydney
RegEx to extract: Temperature ([0-9\.]+)

Be sure to test your RegEx here.

Each RegEx group bracket () will be in its own column, the first column value is always the date.