Poshmark Scraper: Listings, Prices & Resale Data (US)

Scrape Poshmark listings and prices from the US social resale-fashion marketplace in one run. Built for resellers, price comparison, and market research: fast, reliable, and returned as clean structured JSON. Runs with defaults and works as an MCP tool for AI agents.

What it does

Give it a search term (or leave it empty for the newest listings) and optional filters. It returns every Poshmark listing as a structured record you can build on:

• Resale price research - compare list prices, markdowns, and brand or size trends
• Search by keyword or pull the newest listings
• Filter by department, brand, size, category, condition, and price
• Buyer-demand signal - favouriteCount (likes) approximates real demand per listing
• Stable JSON schema - safe to depend on in code and pipelines
• Runs with defaults, MCP-ready - no config needed; AI agents can call it as a tool

Input

Field	Type	Default	Description
query	string	""	Search term. Empty = newest listings.
countries	array	["us"]	Poshmark.com is US only, so results are always US / USD.
maxItems	integer	100	Max listings returned.
filters	object	{}	Optional filters: department, brand, size, category, condition, price_min, price_max.
proxyConfiguration	object	US residential	Routes through a US residential proxy. Poshmark has no active anti-bot, but a US IP is the safest choice.

Example input

{
  "query": "nike",
  "maxItems": 100,
  "filters": { "department": "Women" }
}

Output

Each item is one dataset record:

{
  "id": "....",
  "url": "https://poshmark.com/listing/Nike-crop-top-....",
  "title": "Nike crop top",
  "price": { "amount": 25.0, "currency": "USD" },
  "originalPrice": { "amount": 48.0, "currency": "USD" },
  "brand": "Nike",
  "size": "M",
  "condition": "Used - Good",
  "category": "Tops",
  "colors": ["Green", "Blue"],
  "country": "us",
  "images": ["https://di2ponv0v5otw.cloudfront.net/....jpg"],
  "listedAt": "2026-07-03T11:01:55-07:00",
  "favouriteCount": 3,
  "description": "Experience the perfect blend of style and comfort ...",
  "scrapedAt": "2026-07-10T12:00:00+00:00"
}

Optional fields (originalPrice, colors, condition, favouriteCount, description) appear only when present on the listing.

• originalPrice is the seller's own prior list price and shows only on genuinely marked-down items, not retail MSRP.
• favouriteCount is the number of likes, a useful proxy for buyer demand.
• colors is present on roughly 85% of items.
• condition can be absent on legacy listings.

Use cases

• Reseller sourcing & pricing - see what comparable items list for and how fast they get liked
• Markdown tracking - watch originalPrice against price to spot genuine price drops
• Market research - supply, pricing, and brand trends on a leading US C2C fashion marketplace
• AI agents - a reliable data tool an agent can call to answer "what does X sell for on Poshmark?"

Pricing

Pay per result: you are charged per listing returned, so you only pay for data you actually get. See the exact per-event price on this Actor's page.

Fair use & privacy

Reads public listings only: no login and no third-party account cookies. Personal seller profiles are not collected: the output contains listing data, not people.