The RealReal Scraping

Yes. We capture The RealReal condition grading system which ranges from Pristine (never worn, tags attached) to Fair (visible wear, may need repair). Each listing includes a detailed condition description written by professional merchandisers, specific wear notes, and any defect descriptions. This granular condition data is critical for building accurate price-to-condition valuation models.

Yes. The RealReal lists estimated original retail prices for most items, which we extract alongside the current resale listing price. This pairing allows you to calculate value retention percentages by brand, category, and condition grade — one of the most valuable metrics in luxury resale analytics for understanding which brands depreciate the least.

Yes. By monitoring listing creation dates and sold dates, we calculate days-to-sale metrics by brand, category, and price tier. Fast sell-through brands like Chanel, Hermes, and Rolex typically sell within days, while slower-moving categories may take weeks. This velocity data is a direct measure of brand desirability in the resale market.

The RealReal runs periodic sale events where unsold consignment items receive markdowns. We capture the full pricing lifecycle: initial listing price, any intermediate markdowns, sale event pricing, and final sold price. This markdown trajectory data reveals which brands and categories require discounting to sell versus those that move at full consignment price.

Yes. Cross-platform comparison is a common use case. We extract pricing data from The RealReal alongside Vestiaire Collective, Rebag, Fashionphile, and luxury auction houses, normalizing by brand, condition, and product type. This reveals authentication premiums, platform-specific demand patterns, and arbitrage opportunities across the luxury resale ecosystem.

Yes. The RealReal employs certified gemologists and horologists who provide detailed assessments for fine jewelry and watches. We extract carat weight, metal purity, gemstone identification, watch movement type, service history, and specialist authentication notes. This gemological data layer is unique to The RealReal and provides valuation depth that peer-to-peer platforms cannot match.

Yes. We capture data from The RealReal editorial features, curated collections, and their influential annual Luxury Resale Report. This includes trending designer rankings, rising category data, and editorial recommendations that serve as leading indicators of luxury demand shifts. Many brands use this intelligence to understand their resale positioning.

The RealReal was founded in 2011 by Julie Wainwright in San Francisco and went public on the Nasdaq in 2019. The platform operates on a managed consignment model: sellers ship items to The RealReal, where expert authenticators verify legitimacy and professional merchandisers photograph, describe, and price each item. The RealReal takes a commission of 15-55% depending on item value and consignor tier, handling the entire selling process from authentication to shipping.

The RealReal uses a tiered commission structure where consignors earn between 45% and 85% of the sale price, with higher payout rates for higher-value items and repeat consignors. Items under $200 typically yield a 55% commission to the consignor, while items over $10,000 can yield up to 85%. Understanding these commission tiers is essential for analyzing net resale values and comparing true seller economics across platforms.

The RealReal operates one of the most rigorous authentication programs in luxury resale, employing over 100 in-house experts including brand-specific authenticators, certified gemologists (GIA-trained), and Swiss-trained horologists. Unlike peer-to-peer platforms that may use third-party authentication or AI-based verification, every item passes through physical inspection before listing. This in-house expertise model generates uniquely detailed authentication data that increases buyer confidence and supports premium pricing.

Hermes consistently leads value retention on The RealReal, with Birkin and Kelly bags often reselling at or above retail price. Chanel handbags maintain strong retention due to annual retail price increases, followed by Rolex and Patek Philippe watches which benefit from production scarcity. Louis Vuitton limited editions and Goyard products also show strong retention. Our data tracks these brand-level value retention metrics over time, providing quantitative brand equity intelligence.

Yes. The RealReal publishes sustainability impact metrics including estimated carbon emissions saved, water conserved, and landfill waste diverted per transaction. We capture these environmental impact data points alongside transaction data, enabling brands and investors to quantify the sustainability impact of luxury resale. This data is increasingly relevant for ESG reporting frameworks and circular economy investment analysis.

The RealReal data reveals how luxury brands perform in the secondary market across categories including handbags, ready-to-wear, shoes, jewelry, watches, and home. By tracking which product categories from a specific brand sell fastest, retain the most value, and attract the most buyer interest, brands gain insights into their lifecycle value that primary market sales data alone cannot provide. Several major luxury houses reportedly use resale data to inform product development and pricing strategies.

The RealReal resale prices typically range from 20% to 70% of original retail, depending on brand, condition, and category. However, select items from Hermes, Chanel, and limited-edition releases can exceed original retail on the resale market. Tracking the ratio of resale-to-retail pricing over time reveals brand pricing power and market positioning. When brands increase retail prices, resale values often rise in tandem, creating a measurable correlation between primary and secondary luxury markets.