# Poshmark Scraper: Listings, Prices & Resale Market (`best_actors/poshmark-market-data`) Actor

Search Poshmark and get live listings with price, original retail price and discount, brand, size, condition and likes, plus a market summary per search: median price by condition, top brands and sizes. For resellers and fashion researchers. No login.

- **URL**: https://apify.com/best_actors/poshmark-market-data.md
- **Developed by:** [Lewis O'Rorke](https://apify.com/best_actors) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.

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, Prices & Resale Market

**Search Poshmark and get live listings with price, original retail price and
discount, brand, size, condition and likes, plus a market summary per search:
median price by condition, top brands and sizes, and how many were listed this
week. Ideal for resellers pricing stock and fashion researchers. No login.**

***

### Who it is for

- **Resellers** pricing items before they list, or sourcing underpriced stock
- **Vintage and thrift sellers** checking what a brand goes for right now
- **Brands and researchers** watching resale prices and demand for their lines
- **AI agents** that need clean resale-market data

***

### What you get

#### A market summary per search

| Field | What it means |
|---|---|
| `matches_on_poshmark` | How many listings Poshmark has for the search |
| `listings_analysed` | Listings this run read (after your filters) |
| `price_min`, `price_median`, `price_max` | Asking-price range, in USD |
| `median_by_condition` | Median price for New with tags, Like new, Good, Fair |
| `median_discount_from_original_pct` | How far below retail items are listed |
| `listed_last_7_days_share` | Share listed in the last week: a sign of supply |
| `top_brands`, `top_sizes` | What is most listed |
| `cheapest` | The 5 cheapest matches, with links |

#### Every listing (optional)

`title`, `url`, `brand`, `department`, `category`, `subcategory`, `size`,
`condition`, `price`, `original_price`, `discount_pct`, `available`, `likes`,
`shares`, `colors`, `seller` (public shop name), `image`, `listed_at`.

***

### How to use it

1. Add one or more **searches**, e.g. `lululemon align` or `nike dunk low`.
2. Optional filters: **department**, **condition**, **price range**, **brand**
   and **size**.
3. Click **Start**. Export as Excel, CSV or JSON, or connect to Google Sheets
   and other tools with Apify integrations.

```json
{
  "searches": ["nike dunk low"],
  "maxListingsPerSearch": 100,
  "department": "Men",
  "conditions": ["nwt"]
}
```

#### Run it on a schedule (optional)

Schedule a daily run to watch prices for the brands you resell.

***

### Good to know

- Covers **poshmark.com** (US). Prices are in US dollars.
- These are **asking prices of live listings**. Sold prices aren't included.
- Filters are applied to the search results, so a very narrow filter may
  return fewer listings than you asked for. You're only charged for what you get.
- Only public listing details are returned; sellers appear by their public
  shop name only.

***

### FAQ

**Can I get sold prices?**
No, this Actor reads live listings only.

**Why fewer results than I asked for?**
Your filters removed the rest. Widen them or raise the listing count.

**How fresh is the data?**
Live: each run reads Poshmark at that moment.

# Actor input Schema

## `searches` (type: `array`):

What to search for, e.g. lululemon align or nike dunk. Up to 50.

## `maxListingsPerSearch` (type: `integer`):

You're charged per listing row. The summary is built from these listings.

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

Keep only listings in this department.

## `conditions` (type: `array`):

Leave empty for any condition.

## `priceMin` (type: `integer`):

Keep only listings at or above this price.

## `priceMax` (type: `integer`):

Keep only listings at or below this price.

## `brand` (type: `string`):

e.g. lululemon

## `size` (type: `string`):

e.g. 4, M or 10

## `onlyAvailable` (type: `boolean`):

Leave on to skip items marked sold or not available.

## `includeListings` (type: `boolean`):

Turn off to get only the summary per search.

## Actor input object example

```json
{
  "searches": [
    "lululemon align",
    "nike dunk low"
  ],
  "maxListingsPerSearch": 100,
  "department": "",
  "onlyAvailable": true,
  "includeListings": true
}
```

# Actor output Schema

## `searches` (type: `string`):

No description

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

No description

## `all` (type: `string`):

No description

# 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 = {
    "searches": [
        "lululemon align",
        "nike dunk low"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("best_actors/poshmark-market-data").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 = { "searches": [
        "lululemon align",
        "nike dunk low",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("best_actors/poshmark-market-data").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 '{
  "searches": [
    "lululemon align",
    "nike dunk low"
  ]
}' |
apify call best_actors/poshmark-market-data --silent --output-dataset

```

## MCP server setup

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

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/fxJMAncyje2gHhrTm/builds/mWklONAcykaASuX0G/openapi.json