# Fast Poshmark Scraper — Sold Comps & Listings (`rbbscrap/poshmark-scraper`) Actor

Scrape Poshmark sold comps, active listings, market pricing, brands, and resale data without browser bloat on 256MB RAM.

- **URL**: https://apify.com/rbbscrap/poshmark-scraper.md
- **Developed by:** [Hector](https://apify.com/rbbscrap) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.25 / 1,000 listing scrapeds

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

## Fast Poshmark Scraper — Sold Comps & Listings 👗

High-speed, zero-browser Poshmark market analysis and sold comps scraper running on ultra-lightweight micro-containers (256MB RAM). Harvest true resale comps, historical sales prices, brand discounts, sizes, and seller engagement metrics without browser overhead.

***

### ⚡ 5 Key Strengths vs Competitors

1. **Zero-Browser HTTP/2 Engine (256MB RAM)**: Extracts up to 48 rich listings per second via Poshmark's direct state hydration payload, completely eliminating 2GB–4GB Chromium memory hogs.
2. **True Market Valuation Comps (Sold vs Active)**: Instant toggle between `sold` (historical actual sale price comps for flippers and resellers) and `available` (live closet inventory).
3. **Deep Structural Metadata Extraction**: Extracts sold price, original retail price, calculated discount percentage, brand, department, size, and color attributes.
4. **Seller & Social Engagement Analytics**: Includes seller username, seller full name, likes count, comments count, and first published timestamps for velocity analysis.
5. **Ultra-Low Cost Per Item**: Priced at **$0.0008 / listing** ($0.80/1K items)—over 4x cheaper than competitor scrapers charging $3.50–$5.00/1K items.

***

### 📥 Input Parameters

| Field | Type | Description |
|---|---|---|
| `queries` | Array | Search queries or brand names (e.g. `["nike", "lululemon"]`) |
| `availability` | String | `sold` for comps, or `available` for live listings |
| `maxItemsPerQuery` | Integer | Max items per query (default: `48`) |
| `proxyConfiguration` | Object | Apify Proxy settings for high-volume jobs |

***

### 📤 Output Sample

```json
{
  "listingId": "6ad0157bc9ddec6b7457d919",
  "title": "Nike Mens XL USMNT 2026 Oliver Green USA Star Soccer Jersey #1",
  "brand": "Nike",
  "size": "XL",
  "price": 32,
  "originalPrice": 50,
  "discountPercent": 36,
  "sellerUsername": "kbacke1497",
  "department": "Men",
  "category": "Shirts",
  "listingUrl": "https://poshmark.com/listing/6ad0157bc9ddec6b7457d919",
  "imageUrl": "https://di2ponv0v5otw.cloudfront.net/posts/2026/10/14/6ad0157bc9ddec6b7457d919/m_6ad015851b53fe5e194365ab.jpg",
  "likeCount": 4,
  "availability": "sold",
  "scrapedAt": "2026-11-01T13:32:00.000Z"
}
```

# Actor input Schema

## `queries` (type: `array`):

List of search queries or brands to look up (e.g. 'nike vintage sweater', 'lululemon define jacket').

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

Filter by 'sold' (for historical market sales comps) or 'available' (for active listings).

## `maxItemsPerQuery` (type: `integer`):

Maximum number of listings to extract per search query.

## `proxyConfiguration` (type: `object`):

Select Apify Proxy for high-volume automated harvesting.

## Actor input object example

```json
{
  "queries": [
    "nike"
  ],
  "availability": "sold",
  "maxItemsPerQuery": 48
}
```

# Actor output Schema

## `results` (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 = {
    "queries": [
        "nike"
    ],
    "availability": "sold",
    "maxItemsPerQuery": 48
};

// Run the Actor and wait for it to finish
const run = await client.actor("rbbscrap/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 = {
    "queries": ["nike"],
    "availability": "sold",
    "maxItemsPerQuery": 48,
}

# Run the Actor and wait for it to finish
run = client.actor("rbbscrap/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 '{
  "queries": [
    "nike"
  ],
  "availability": "sold",
  "maxItemsPerQuery": 48
}' |
apify call rbbscrap/poshmark-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rbbscrap/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/C85KhhleOMXhv7Vp9/builds/LHx9jFUo9hh6aQyjg/openapi.json