Poshmark Scraping

Yes. We extract active listings with full pricing and engagement data, and we also capture sold listings which display the final sale price. Sold listing data is essential for understanding true market clearing prices on Poshmark, as many transactions involve negotiated offers below the listed price. This sold data reveals actual buyer willingness-to-pay rather than aspirational seller pricing.

We monitor Posh Party schedules and extract party themes, participating listings, and engagement metrics during these virtual shopping events. Posh Parties generate concentrated buyer attention around specific brands or categories, causing measurable spikes in shares, likes, and sales. Our data captures these temporal patterns so you can correlate party themes with listing performance.

Yes. Poshmark's social sharing mechanism is central to listing visibility, and we extract share counts, like counts, and comment activity for every listing. Listings that are shared frequently rise in search results and appear in more feeds. Our data shows strong correlation between share velocity and sell-through speed, making these metrics valuable demand indicators.

Yes. We extract data from all four Poshmark country markets with local currency pricing. The US market is by far the largest with the deepest inventory, followed by Canada. Australia and India are smaller but growing markets with distinct brand preferences and pricing dynamics. Cross-market analysis reveals which brands command different resale premiums by region.

Poshmark uses a flat-rate shipping model in the US at $7.67 for packages under 5 lbs, which simplifies total cost analysis compared to variable-shipping platforms. We extract shipping cost data including any seller-offered shipping discounts, which are a common promotional tool. This flat-rate structure means the listed price more accurately represents the true item cost without hidden shipping surprises.

Yes, and this is one of Poshmark's most valuable data features. Sellers are required to enter the original retail price when creating a listing, creating a built-in depreciation dataset across thousands of brands. We extract both the original price and the current list price, enabling automatic calculation of resale-to-retail ratios that reveal brand value retention in the secondary market.

We support daily, weekly, or custom refresh schedules. For monitoring fast-moving categories like trending sneakers or seasonal fashion, daily refreshes capture listing turnover and price movement accurately. For broader brand equity research or quarterly market sizing, weekly extractions provide sufficient trend resolution while optimizing data volume.

Poshmark was founded in 2011 by Manish Chandra in Redwood City, California, and launched its iOS app in 2012. The platform pioneered social commerce for fashion resale by combining marketplace mechanics with social media features like sharing, following, and virtual shopping events. Poshmark was acquired by South Korean tech company Naver Corporation in January 2023 for $1.2 billion, bringing it under the same corporate umbrella as Line messenger and various Asian commerce platforms.

Posh Ambassadors are verified top sellers who have met specific criteria including a minimum number of sales, average shipping time under 3 days, high customer ratings, and active community engagement. Ambassadors receive a verified badge, access to exclusive features, and improved search visibility. Our data captures Ambassador status for every seller, enabling analysis of how this designation correlates with pricing power, sell-through rates, and buyer trust signals.

Poshmark charges a flat 20% commission on sales over $15 and a flat $2.95 on sales under $15, which is among the highest commission rates in fashion resale. This fee structure directly influences seller pricing strategies — sellers must price items higher to maintain their target margins, which is why Poshmark resale prices often appear higher than on zero-fee platforms like Vinted. Understanding this fee context is essential when comparing pricing data across platforms.

Yes. We identify listings eligible for or covered by Posh Authenticate, which provides third-party authentication for luxury items priced at $500 or above. Eligible categories include designer handbags, luxury shoes, fine jewelry, and premium accessories from brands like Louis Vuitton, Chanel, Gucci, and Hermes. Authenticated listings command measurably higher prices and faster sell-through compared to non-authenticated luxury listings.

Poshmark excels in contemporary women's fashion, athleisure, and accessible luxury brands. Lululemon, Nike, Free People, Anthropologie, and Madewell consistently rank among the top-selling brands by volume. The platform also performs well in men's streetwear and kids' clothing. Compared to ThredUp's managed consignment model, Poshmark offers more seller control and typically faster listings, while compared to eBay, Poshmark provides a more curated fashion-focused buyer experience.

Poshmark bundles allow buyers to combine multiple items from the same seller into a single order, typically receiving a seller-configured discount. We extract bundle availability, discount percentages, and bundle purchase patterns. Bundle data is valuable because it reveals cross-selling patterns and indicates which product combinations drive higher average order values on the platform.

Yes. We normalize Poshmark data into the same schema structure used for our extractions from eBay, Vinted, ThredUp, and other marketplaces. This enables direct cross-platform price comparison for identical or similar items, helping you understand where specific brands command the highest resale prices and which platform delivers the best sell-through rates for particular categories and price tiers.