Mercari Scraping

Yes. We capture both the initial listed asking price and the final transaction price when an item sells. On Mercari, buyers frequently make offers below the asking price, so the sold price often differs from the listed price. Capturing both data points allows you to calculate actual negotiation discount rates by category and understand the true transaction economics of the marketplace.

We extract data from all three Mercari markets — Japan (mercari.com/jp), the United States (mercari.com), and the United Kingdom — using market-specific extraction pipelines. Each marketplace has different category structures, pricing conventions, and listing behaviors. We normalize the data into a consistent schema with currency conversion fields so you can compare cross-market dynamics directly.

Yes. We capture seller profiles including transaction count, rating score, response time indicators, listing frequency, and category specialization. This data distinguishes casual individual sellers from professional resellers operating at scale on the platform. Seller behavior analytics are valuable for understanding marketplace composition and identifying power sellers who drive pricing dynamics in specific categories.

Yes. Mercari requires sellers to rate item condition on a standardized scale from New to Poor. We capture this condition rating along with seller-provided condition descriptions from the listing text. Condition data enables price-to-condition analysis, revealing how much value consumers discount for varying levels of wear, which is essential intelligence for resale value modeling.

Absolutely. You can configure monitoring for specific brands, product categories, or search terms across any Mercari market. We track listing volumes, average prices, sell-through rates, and pricing trends for your configured targets. This focused monitoring is particularly valuable for brands tracking their secondary market presence and for resellers identifying profitable product categories.

Mercari listings change rapidly as items are posted and sold throughout the day. Our standard extraction runs daily, capturing new listings, completed sales, price changes, and delisted items. For high-velocity categories like electronics or trending collectibles, we offer more frequent extraction intervals to capture fast-moving market dynamics and ensure you have current pricing intelligence.

Mercari provides a mobile-first, fixed-price C2C dataset with built-in offer negotiation, while eBay offers both auction and fixed-price data with a more established seller ecosystem. Mercari tends to attract younger sellers with simpler listings, whereas eBay skews toward more detailed, optimized listings. We extract both using consistent schemas, allowing cross-platform comparison of resale pricing, sell-through rates, and category dynamics.

Yes. We calculate time-to-sale by tracking when a listing is first posted and when it transitions to sold status. Listing duration data reveals demand intensity by category, optimal pricing levels for quick sales, and seasonal velocity patterns. Items that sell within hours indicate strong demand, while listings that persist for weeks suggest overpricing or low demand in that category.

Mercari was founded in 2013 in Tokyo by Shintaro Yamada and launched its mobile app in Japan, where it quickly became the dominant C2C marketplace. The platform expanded to the United States in 2014 and the United Kingdom in 2017. Mercari went public on the Tokyo Stock Exchange in 2018 and has accumulated over one billion item listings to date, with 50 million monthly active users making it one of the largest consumer-to-consumer marketplaces globally.

Mercari differentiates through its mobile-first design, simplified listing process (users can list items in under a minute), prepaid shipping labels, and built-in offer system. Unlike eBay, Mercari does not offer auctions — all transactions are fixed-price with optional negotiation. The platform also handles payments through an escrow system where buyers pay upfront but sellers receive funds only after the buyer confirms receipt, creating unique transaction lifecycle data.

We capture listing attributes that can serve as counterfeit risk indicators, including abnormally low pricing relative to authentic retail value, seller history patterns, listing description quality, and image analysis signals. While we do not make definitional counterfeit determinations, we provide the structured data needed for brand protection teams to identify suspicious listings and monitor unauthorized distribution channels on the marketplace.

The Japanese Mercari marketplace is significantly larger and more mature, with deeper category coverage in fashion, anime merchandise, electronics, and traditional Japanese goods. Japanese listings tend to have higher condition standards and more detailed descriptions. Pricing dynamics also differ, with Japanese users typically setting firmer prices and engaging in less negotiation than US users. Our extraction captures these market-specific behaviors in structured fields.

Yes. We capture offer data where available, including the asking price, any price reductions made by the seller, and the final sold price. The gap between asking and sold prices reveals negotiation dynamics by category — for example, electronics buyers negotiate more aggressively than fashion buyers. This negotiation data helps resellers optimize their initial pricing strategy to account for expected buyer bargaining behavior.

Yes. We capture shipping method selections (Mercari prepaid label, seller-arranged shipping), shipping cost (free shipping or buyer-paid), estimated delivery times, and package size categories. Shipping data significantly impacts sell-through rates on Mercari, as free-shipping listings tend to sell faster. Understanding shipping economics by category helps resellers optimize their pricing and fulfillment strategy.