# Poshmark Scraper — Listings, Sold Prices, Brands & Sellers (`jeffev/poshmark-scraper`) Actor

Scrape Poshmark listings by keyword, brand, category or seller closet, available or SOLD: price, original price, discount, size, brand, department, category, likes, seller and photos. Price filters and sort by newest or price. Built for resellers.

- **URL**: https://apify.com/jeffev/poshmark-scraper.md
- **Developed by:** [Jefferson Valandro](https://apify.com/jeffev) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.35 / 1,000 listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Poshmark Scraper — listings, sold prices, brands & sellers

Scrape **Poshmark** (US) listings that are **for sale or already SOLD**, by keyword, **brand page, category, or seller closet**. For each listing: title, **price, original retail price and discount %**, size, brand, department, category and subcategories, colors, description, **likes, comments and shares**, seller username and closet link, listing date, **date it sold** (status change), and photos.

Built for **resellers and sourcing**: check what an item actually sells for before buying it, track a brand's resale prices, or analyze a competitor's closet.

### Why this one

- **Sold listings**: real resale prices and when they sold, not just asking prices.
- **Any Poshmark page**: keyword search, brand pages, categories and seller closets.
- **Discount vs retail**: original price and the % off for every item.
- **Fast and cheap**: 48 listings per page, no browser, no proxy.

### Input

What Nike Dunks sold for, between $20 and $80:

```json
{
  "searchQueries": ["nike dunk"],
  "availability": "sold_out",
  "minPrice": 20,
  "maxPrice": 80,
  "maxItemsPerSearch": 500
}
```

A brand page and a competitor's closet:

```json
{
  "startUrls": ["https://poshmark.com/brand/Lululemon-Women-Pants?sort_by=added_desc", "https://poshmark.com/closet/aabudgetbuys"],
  "maxItemsPerSearch": 200
}
```

### Output (one item per listing)

| Field | Description |
|---|---|
| `id`, `title`, `url`, `description` | identity |
| `price`, `originalPrice`, `discountPercent`, `currency`, `status` | price and availability (`available`, `sold_out`...) |
| `brand`, `size`, `department`, `category`, `subcategories`, `colors` | product |
| `likes`, `comments`, `shares`, `hasOffer` | engagement |
| `seller`, `sellerName`, `sellerUrl`, `listedAt`, `statusChangedAt` | seller and dates |
| `image`, `images` | photos |

### Example output

One real item from a test run (long texts and lists shortened):

```json
{
  "type": "listing",
  "id": "6754e5a1f9927cf0a808319f",
  "title": "NIKE DUNK LOW RETRO Sneakers",
  "url": "https://poshmark.com/listing/6754e5a1f9927cf0a808319f",
  "price": 90,
  "originalPrice": 200,
  "discountPercent": 55,
  "currency": "USD",
  "status": "sold_out",
  "brand": "Nike Dunk",
  "size": "US 12",
  "department": "Men",
  "category": "Shoes",
  "subcategories": [
    "Sneakers"
  ],
  "colors": [
    "Orange"
  ],
  "description": "Nike Dunk Low Retro\nSize 12 Men\nNew In Box\nSail/Safety Orange",
  "likes": 25,
  "comments": 3,
  "shares": 56,
  "hasOffer": true,
  "seller": "jm_davo",
  "sellerName": "Pretty Cozy",
  "sellerUrl": "https://poshmark.com/closet/jm_davo",
  "listedAt": "2024-12-07T16:22:17-08:00",
  "updatedAt": "2026-03-10T06:57:29-07:00"
}
```

### How much does it cost?

You pay only for results delivered, at a fixed price per item. **Apify platform usage is included** in that price, so there are no compute costs on top. Errors and items that couldn't be found are free.

| What you get | Price | Example |
|---|---|---|
| Listing | $0.0005 each | 1,000 listings = $0.50 |

The Apify **Free plan includes $5 of monthly credit**, enough for about **10,000 listings** per month at no cost. You can also set a maximum spend per run.

On paid Apify plans it gets cheaper automatically: **10% off on Starter, 20% on Scale and 30% on Business**.

### Feedback

Found a bug, a site change, or need an extra field? Open an issue in the **Issues** tab: every issue is read and answered. If this actor saved you time, a **review** helps other people find it.

# Actor input Schema

## `searchQueries` (type: `array`):

What to search on Poshmark, one search per line.

## `availability` (type: `string`):

Sold listings show what items actually sold for, the best data for pricing resale.

## `maxItemsPerSearch` (type: `integer`):

Poshmark shows 48 listings per page.

## `startUrls` (type: `array`):

Paste Poshmark URLs with your filters set: brand pages (poshmark.com/brand/...), categories (poshmark.com/category/...), seller closets (poshmark.com/closet/<user>) or searches.

## `sort` (type: `string`):

Keyword searches only: order of the results.

## `minPrice` (type: `integer`):

Keyword searches only.

## `maxPrice` (type: `integer`):

Keyword searches only.

## `department` (type: `string`):

Keyword searches only: limit to one department.

## Actor input object example

```json
{
  "searchQueries": [
    "nike dunk"
  ],
  "availability": "available",
  "maxItemsPerSearch": 48,
  "sort": "relevance"
}
```

# Actor output Schema

## `listings` (type: `string`):

One item per Poshmark listing.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "nike dunk"
    ],
    "maxItemsPerSearch": 48
};

// Run the Actor and wait for it to finish
const run = await client.actor("jeffev/poshmark-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["nike dunk"],
    "maxItemsPerSearch": 48,
}

# Run the Actor and wait for it to finish
run = client.actor("jeffev/poshmark-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "nike dunk"
  ],
  "maxItemsPerSearch": 48
}' |
apify call jeffev/poshmark-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jeffev/poshmark-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jwQAXIvzEcSYvbRpY/builds/QEtoR0Xdw9JpOBqP5/openapi.json
