How HAULS plans to check prices and discounts
HAULS is designed to build price context from three kinds of input: what is visible on the product page, prices HAULS has itself observed over time, and a product-match check across stores. It shows how confident it is and never relies on a printed MRP alone. HAULS is pre-launch, so no history is published yet.
On this page
Where the data comes from
HAULS is designed to build its price history from three kinds of sources, never from one:
- User-observed data, a price seen by the HAULS extension on a real user’s page load, the same way any shopper would see it.
- Licensed or API data, where a marketplace or partner makes it available directly.
- Public data, published structured product information such as JSON-LD/Schema.org markup that a store already puts on its own page.
Amazon’s and Flipkart’s own terms explicitly prohibit systematic scraping or bot-based extraction without permission. HAULS is built around that constraint, not against it, the moat is accurate product identity, price normalization, and transparent reasoning, not bypassing anti-bot systems.
Resolving the actual price
A product page rarely shows one clean number. It shows a selling price, a struck-through MRP, an EMI figure, a refurbished-condition price, and often prices for products the algorithm is merely recommending. HAULS’ price resolver is built to tell these apart, in order of preference:
- Structured data the page itself publishes (JSON-LD / Schema.org), where available.
- DOM-level extraction, as a fallback when structured data is missing or incomplete.
- The product’s URL or ID, to keep price history tied to the right product over time.
Every resolved price is meant to be stored as a full event, price, seller, availability, variant, and timestamp, not a bare number.
Confidence, shown honestly
Every price HAULS will show is designed to carry a visible confidence level, never a silent guess:
- Verified from product page, confidence: high.
- Price detected from page structure, confidence: medium.
- Price could not be reliably determined, shown as-is, instead of guessing.
HAULS will never display a “lowest price ever” claim it can’t support. If the observation window is short, that’s stated plainly, for example “History available: 12 days,” instead of presenting a short sample as a long trend.
How discount context works
An advertised discount compares today’s price with a reference price the seller chose, usually the printed MRP or a struck-through “was” price. HAULS is designed to compare today’s price with what it has actually observed for that product recently instead. When the two disagree, that gap is meant to be shown as discount context, a factual comparison, never an accusation that a specific seller inflated a price on purpose.
Matching products across stores
“Nike Air Max 270 Black 9” on one store and “Nike Air Max 270 Men’s Black Size 9” on another are the same product; “Nike Air Max 270 SE” is not. HAULS is designed to build a canonical identity, brand, product family, model, SKU, variant, colour, size, and quantity, and to show a cross-store comparison only once that match is confident. Comparing non-equivalent products would be worse than showing nothing.
What HAULS won’t do
These aren’t cosmetic wording choices, they’re the trust boundary of the product:
- HAULS won’t call a discount “fake”, it shows discount context and lets the numbers speak.
- HAULS won’t claim a review is “fake”, it surfaces unusual review patterns as a signal to notice.
- HAULS won’t accuse a named seller, brand, or marketplace of cheating anyone.
- HAULS won’t sell recommendations, sponsored placement, or affiliate-biased rankings.
Questions
Does HAULS scrape Amazon and Flipkart?
No. HAULS does not run bulk scrapers against marketplace terms of service. Price data is designed to come from what a real user’s browser observes on a page they’re already viewing, from structured product data the page itself publishes, and from public or licensed sources, never from bypassing anti-bot systems or access controls.
How does HAULS decide if a discount is genuine?
HAULS is designed to compare today’s price with the prices it has actually observed for that product recently, not with the reference price a seller chose to display. If the gap between today’s price and the recent observed price is small, HAULS is meant to say so, even if the advertised percentage looks large.
What if HAULS only has a few days of price history?
HAULS is designed to show the observation window honestly, for example “History available: 12 days,” rather than presenting a short sample as a long-term trend or inventing a “lowest price ever” claim it can’t support.
Last reviewed and changes
Last reviewed 8 October 2026. This page describes how HAULS is designed to work. HAULS is pre-launch, so none of it describes a live service yet.
- 8 October 2026: the title and wording were changed to say HAULS “plans to” check prices and discounts, and the pre-launch status was made explicit throughout.