Poshmark Sold Comps Scraper - Resale Prices & Pricing Stats

Know what items actually sell for on Poshmark before you buy or relist.

This Actor searches Poshmark sold listings for a keyword or brand, extracts each sold comp (title, sold price, original price, discount, size, image, URL), and rolls them up into reseller pricing intelligence: median / average / min / max sold price, an optional active-vs-sold spread, and a suggested max buy price - exported as CSV or JSON.

It is built for resellers and flippers, not just "give me raw listings." Sold comps tell you the truth; active asking prices do not.

Why Use This Actor

• Get real sold prices, not optimistic active asking prices.
• See median, average, min, and max sold price for any query in one row.
• Optionally compare sold vs active to spot over- or under-priced inventory.
• Get a suggested max buy price so you protect your margin at the source.
• Export CSV-ready comps for sourcing spreadsheets, Whatnot prep, or accounting.
• No login required for public sold-listing data.

Common Use Cases

• Decide what to pay at a thrift store, estate sale, or wholesale lot.
• Price your own listings against what comparable items actually sold for.
• Spot brands/sizes with a wide active-vs-sold spread (slow movers vs fast flips).
• Build a sourcing cheat sheet of median resale values by keyword.

Quick Preview

Input	Output
nike air max women, availability sold	median $40, range $19-$72, 10+ sold comps with size and discount
add includeActiveComparison: true	active median, active-vs-sold spread, suggested max buy price

Input Example

{
  "query": "nike air max women",
  "availability": "sold",
  "maxItems": 50,
  "includeActiveComparison": true,
  "targetMarginPercent": 50
}

You can also pass a brand (e.g. Nike) or a full startUrl. If no input is provided, the Actor runs the sample query above so you can see the output immediately.

Output

The Actor writes one summary row plus one row per listing to the default dataset.

Summary row

{
  "recordType": "summary",
  "query": "nike air max women",
  "availability": "sold",
  "soldCount": 50,
  "medianSoldPrice": 40,
  "averageSoldPrice": 41.1,
  "minSoldPrice": 19,
  "maxSoldPrice": 72,
  "activeCount": 50,
  "activeMedianPrice": 65,
  "activeVsSoldSpread": 25,
  "targetMarginPercent": 50,
  "suggestedMaxBuyPrice": 20
}

Listing row

{
  "recordType": "listing",
  "status": "sold",
  "rank": 1,
  "title": "Nike Air Max size 9 women's",
  "price": "$30",
  "priceValue": 30,
  "originalPrice": "$125",
  "originalPriceValue": 125,
  "discountPercent": 76,
  "size": "US 9",
  "listingUrl": "https://poshmark.com/listing/...",
  "imageUrl": "https://di2ponv0v5otw.cloudfront.net/...",
  "scrapedAt": "2026-06-21T20:28:00.102Z"
}

Dataset Views

View	Best for
Sold comps	Individual listings with price, discount, and size
Pricing summary	One-row pricing intelligence for the query

Input Reference

Field	Meaning
query	Keyword to search on Poshmark
brand	Optional brand page instead of search
availability	sold (sold comps), available (active), or all
maxItems	Max listings to extract (1-200; page is scrolled to load more)
includeActiveComparison	Also scrape active listings and compute the spread
targetMarginPercent	Margin used to compute suggestedMaxBuyPrice
proxyEnabled / proxyConfiguration	Route through Apify Proxy (residential recommended if blocked)
startUrl	Full Poshmark URL; overrides the above

Output Fields

Field	Meaning
status	sold or active (detected from the Poshmark badge)
price / priceValue	Listing price as text and number
originalPrice / originalPriceValue	Original retail price when shown
discountPercent	Discount off original price (0-100)
size	Parsed size token
medianSoldPrice / averageSoldPrice	Central sold price for the query
activeVsSoldSpread	Active median minus sold median
suggestedMaxBuyPrice	Naive max buy price for your target margin

Limits and Caveats

• Sold comps reflect listed sold prices, not after-fee proceeds. Poshmark does not publicly expose final sale dates or days-to-sell, so this Actor does not promise those fields.
• suggestedMaxBuyPrice is a simple rule of thumb (sold median x (1 - targetMargin)). It ignores marketplace fees, shipping, and condition. Treat it as a starting point, not advice.
• Pricing stats are most reliable with maxItems of 50-200; very narrow queries return fewer comps.
• Poshmark renders with JavaScript and lazy-loads on scroll; the Actor uses a headless browser. Enable residential proxy if you hit blocks on repeated runs.
• This Actor reads public listing data only; it does not log in or scrape private account data.

Pricing

Designed for pay-per-result pricing plus Apify platform usage. Because it launches a headless browser (and a second pass when active comparison is on), enable proxy only when needed to keep runs inexpensive.