Poshmark Sold Listings Scraper

Scrape public Poshmark sold listings for resale comps, sold prices, seller details, item metadata, and listing images.

Use it when you need structured Poshmark sales evidence before pricing inventory, sourcing similar items, or building a resale analytics workflow.

What does Poshmark Sold Listings Scraper do?

Poshmark Sold Listings Scraper turns public Poshmark sold search results into a clean dataset.

It searches Poshmark for sold-out listings, extracts the listing cards embedded in the page HTML, and saves each sold listing as a structured row.

You can start from simple keywords such as nike sneakers, or provide full Poshmark search URLs.

The actor is designed for sold-comps research rather than active listing monitoring.

Who is it for?

Resellers

Use sold prices to decide whether an item is worth sourcing.

Poshmark sellers

Compare your listing price against recent sold comps.

Thrift and arbitrage operators

Check categories, sizes, brands, and actual resale prices before buying inventory.

Ecommerce analysts

Build repeatable datasets of sold Poshmark listings for market research.

Pricing tool builders

Feed sold comp records into spreadsheets, dashboards, or repricing models.

Why use this actor?

• 🛍️ Focused on sold listings, not active listings
• 💵 Extracts sold price and original price when available
• 🧾 Captures item details like brand, size, category, condition, and colors
• 👤 Includes seller identifiers shown in public results
• 🖼️ Saves image URLs for visual review
• ⚡ HTTP-first implementation for lower run cost
• 📦 Outputs JSON, CSV, Excel, and API-friendly datasets on Apify

What data can you extract?

Field	Description
id	Poshmark listing ID
title	Listing title
listingUrl	Direct Poshmark listing URL
query	Search query that produced the row
sourceUrl	Search URL fetched by the actor
isSold	Whether the listing is marked sold out
status	Public inventory status
soldAt	Sold/status-change timestamp when present
firstPublishedAt	First published timestamp when present
createdAt	Listing creation timestamp
updatedAt	Listing update timestamp
daysToSell	Approximate days between listing and sold timestamp
price	Sold/listing price shown in search data
originalPrice	Original asking price when present
currency	Currency code, usually USD
brand	Brand name
size	Item size
department	Poshmark department
category	Main category
subcategory	Subcategory/category feature labels
condition	Condition code shown by Poshmark
colors	Public color labels
sellerUsername	Seller username
sellerName	Seller display/full name
sellerId	Seller ID
sellerImageUrl	Seller avatar URL
likes	Like count
comments	Comment count
shares	Share count
description	Listing description snippet/data
imageUrl	Primary image URL
imageUrls	Listing image URLs
scrapedAt	Actor scrape timestamp

How much does it cost to scrape Poshmark sold listings?

This actor uses pay-per-event pricing.

You pay a small run-start event plus one result event for each sold listing saved.

Current pricing is a $0.005 run-start event plus a BRONZE result price of $0.0001 per sold listing, with standard Apify tier discounts for higher plans.

The formula calculator produced a lower theoretical price, but platform pricing validation rejected sub-$0.0001 tier values, so the live price uses the accepted minimum floor. A 120-item cloud validation run measured an 87.6% net margin at the lower formula price; the platform-floor price is safely profitable.

How to use it

1. Open the actor on Apify.
2. Add one or more search queries.
3. Optionally add full Poshmark search URLs.
4. Set the maximum sold listings to save.
5. Run the actor.
6. Export the dataset as JSON, CSV, Excel, XML, or RSS.

Input

Search queries

Add keywords that match how you would search Poshmark.

Examples:

• nike sneakers
• lululemon leggings
• coach bag
• patagonia fleece

Poshmark search URLs

You can also paste a public Poshmark search URL.

If the URL does not include sold listing filters, the actor adds type=listings and availability=sold_out.

Maximum sold listings

Use maxItems to control cost and dataset size.

A small first run such as 20 items is recommended.

Example input

{
  "queries": ["nike sneakers", "lululemon leggings"],
  "maxItems": 50
}

Example output

{
  "id": "6a09e3a24a072bceec44d88b",
  "title": "Nike V2K Runner",
  "listingUrl": "https://poshmark.com/listing/6a09e3a24a072bceec44d88b",
  "query": "nike sneakers",
  "isSold": true,
  "soldAt": "2026-05-30T00:50:46.000Z",
  "price": 70,
  "originalPrice": 120,
  "brand": "Nike",
  "size": "US 6.5",
  "category": "Shoes",
  "sellerUsername": "example_seller",
  "likes": 21,
  "imageUrl": "https://di2ponv0v5otw.cloudfront.net/...jpg",
  "scrapedAt": "2026-06-05T00:00:00.000Z"
}

Tips for better results

• 🔎 Use specific brand + item keywords.
• 👟 Include item type, model, or style when possible.
• 📉 Start with small maxItems values while testing.
• 🧮 Export CSV for spreadsheet comp analysis.
• 🧵 Run multiple related queries to compare brands or sizes.

Integrations

Use the dataset with:

• Google Sheets or Excel price comp models
• Airtable resale inventory workflows
• BI dashboards for category analysis
• Internal sourcing tools
• Automated repricing systems
• Apify webhooks for post-run processing

API usage

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/poshmark-sold-listings-scraper').call({
  queries: ['nike sneakers'],
  maxItems: 25,
});
console.log(run.defaultDatasetId);

Python

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('automation-lab/poshmark-sold-listings-scraper').call(
    run_input={'queries': ['nike sneakers'], 'maxItems': 25}
)
print(run['defaultDatasetId'])

cURL

curl -X POST "https://api.apify.com/v2/acts/automation-lab~poshmark-sold-listings-scraper/runs?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"queries":["nike sneakers"],"maxItems":25}'

MCP usage

Use this actor from Apify MCP with:

https://mcp.apify.com/?tools=automation-lab/poshmark-sold-listings-scraper

Claude Code setup:

$claude mcp add apify-poshmark-sold-listings "https://mcp.apify.com/?tools=automation-lab/poshmark-sold-listings-scraper"

Claude Desktop MCP server config:

{
  "mcpServers": {
    "apify-poshmark-sold-listings": {
      "url": "https://mcp.apify.com/?tools=automation-lab/poshmark-sold-listings-scraper"
    }
  }
}

Example prompts showing MCP usage:

• "Use MCP to run automation-lab/poshmark-sold-listings-scraper and find recent sold comps for Nike sneakers on Poshmark."
• "Use the Apify MCP server to run the Poshmark sold listings scraper for Lululemon leggings and summarize the price range."
• "With MCP, scrape sold Coach bag listings and return a table of price, size, seller, and URL."

Data quality notes

The actor extracts data available in public Poshmark search HTML.

Some timestamps or fields may be absent when Poshmark does not expose them in the result state.

Sold dates are based on public status-change timestamps when present.

Limitations

The MVP reads the first public server-rendered result page for each query or URL.

For larger datasets, provide multiple targeted queries.

Future versions may add detail-page enrichment or validated pagination if public endpoints remain stable.

Troubleshooting

Why did I get fewer results than maxItems?

The public search page may expose fewer sold listings for that query. Try additional related keywords.

Why are some fields blank?

Poshmark does not expose every field for every listing in search results. The actor only returns public data that is present.

Can it scrape my private closet analytics?

No. This actor only targets public sold search results and does not log in to Poshmark.

Legality

This actor extracts publicly available information from Poshmark pages.

You are responsible for using the data in accordance with applicable laws, Poshmark terms, and privacy rules.

Avoid collecting personal data you do not need.

Related scrapers

Other automation-lab actors that can support resale or ecommerce research:

• https://apify.com/automation-lab/poshmark-scraper
• https://apify.com/automation-lab/ebay-scraper
• https://apify.com/automation-lab/shopify-scraper
• https://apify.com/automation-lab/etsy-scraper

Changelog

0.1

Initial build with keyword/search URL input, sold listing extraction, seller metadata, price fields, engagement counts, and images.

Support

If a run does not return expected public listings, include your input and run URL when opening an issue.

FAQ

Does it require a Poshmark account?

No. The actor uses public pages only.

Does it use a browser?

No. The current implementation is HTTP-first for speed and cost control.

Can I search multiple brands?

Yes. Add multiple entries to queries.

Can I export to CSV?

Yes. Apify datasets support CSV, JSON, Excel, XML, and RSS exports.