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See what items actually sold for on Poshmark: median price, price range and days to sell, in a side panel. Price your Poshmark listings with real sold data, not guesses. Reseller Comps adds a "Sold comps" button to every Poshmark listing. Click it and a side panel opens next to the page showing what similar items actually sold for. WHAT YOU GET • Median sold price, plus the typical price range (middle 50% of sales) • Average, lowest and highest sale • How many sold, and the median number of days they took to sell • A price histogram so you can see where most sales land • The sold listings themselves: photo, price, size, condition, when it sold and how fast FIND THE RIGHT COMPS • The search is built from the listing automatically: sizes and filler words ("NWT", "authentic", "great condition") are stripped so you get real comparables • "Same size only" in one click • Filter by condition (new with tags, used, boutique), department, and time sold (30 days, 90 days, 1 year) • Sort by recently sold, price, or fastest sold • Or search anything yourself, or highlight text on Poshmark and right-click → Comp EXPORT • Download comps as CSV or JSON for your own spreadsheets PRIVATE BY DESIGN • No account, no sign-up, no tracking • Searches go straight from your browser to Poshmark; nothing is sent to us • Works only on poshmark.com Great for thrifting and sourcing ("is this worth buying?") and for listing ("what should I price this at?"). Reseller Comps is an independent tool and is not affiliated with, endorsed by, or sponsored by Poshmark, Inc. Poshmark is a trademark of its respective owner.
Oct 25, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.