# Poshmark Listings Scraper (`real-estate-api/poshmark-listings-scraper`) Actor

Poshmark Listings Scraper is a Python tool designed to extract product titles, prices, original retail values, sizes, brand names, seller details, and image URLs from Poshmark marketplace listings. It exports structured apparel and fashion resale datasets into clean CSV or JSON format

- **URL**: https://apify.com/real-estate-api/poshmark-listings-scraper.md
- **Developed by:** [real-estate-api](https://apify.com/real-estate-api) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 results

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 Listings Scraper — Product Listings, Prices, and Seller Insights

![Poshmark Listings Scraper cover](https://images.bigibyte.com/cdn-cgi/image/width=1260,height=540,fit=cover,format=webp/apify-actors-covers/poshmark-listings-scraper-cover.png)

Collect publicly accessible Poshmark listing information into a structured dataset. Search for brands, products, or styles and gather available listing details, prices, sizes, seller information, and engagement metrics. Export your results in JSON, CSV, Excel, and other supported formats.

### Overview

Poshmark Listings Scraper helps resellers, marketers, researchers, and e-commerce analysts organize marketplace listings for product research and competitive analysis.

Enter a search query, configure the maximum number of listings, and collect available results without logging in.

### Features

- **Listing Search:** Find listings matching a search term.
- **Product Details:** Collect listing titles, descriptions, brands, sizes, and categories.
- **Price Information:** Capture listing prices, original prices, and currency details when available.
- **Seller Information:** Retrieve available seller usernames and identifiers.
- **Engagement Metrics:** Collect likes, comments, and shares when available.
- **Listing Status:** Capture publication status and inventory availability.
- **Images and Colors:** Retrieve available product image links and color information.
- **Duplicate Prevention:** Avoid duplicate records using listing identifiers.
- **Configurable Collection:** Set a maximum item count and request delay.
- **Structured Exports:** Export results in JSON, CSV, Excel, and other supported formats.

### Use Cases

- **Brand Monitoring:** Find listings associated with specific brands and products.
- **Price Research:** Compare asking prices across matching listings.
- **Reseller Research:** Explore available inventory and product categories.
- **Seller Research:** Organize publicly available seller and listing information.
- **Marketplace Analysis:** Examine listing engagement and inventory indicators.
- **Catalog Snapshots:** Save dated datasets for later comparison and reporting.

### Input Parameters

| Parameter | Type | Description |
|---|---|---|
| `mode` | String | Search mode. Use `search`. |
| `query` | String | Search term, such as a brand, product, or style. |
| `maxItems` | Integer | Maximum number of listings to collect, up to 1,000 per run. |
| `requestDelaySecs` | Number | Delay between requests, in seconds. |

### Example Input

```json id="j8d3vq"
{
  "mode": "search",
  "query": "nike",
  "maxItems": 50,
  "requestDelaySecs": 2
}
```

### What Data Does This Actor Extract?

The available fields depend on the listing information returned by the marketplace.

| Field | Description |
|---|---|
| `listingId` | Unique listing identifier. |
| `listingTitle` | Listing title. |
| `price` | Displayed listing price. |
| `priceAmount` | Numeric price representation, when available. |
| `priceCurrency` | Currency code. |
| `originalPrice` | Original price, when available. |
| `brand` | Product brand. |
| `size` | Listed product size. |
| `listingStatus` | Listing publication status. |
| `condition` | Available item condition information. |
| `category` | Product category. |
| `department` | Department or audience category. |
| `pictureUrl` | Product image link. |
| `listingUrl` | Link to the listing page. |
| `creatorUsername` | Seller username, when available. |
| `creatorId` | Seller identifier, when available. |
| `likeCount` | Number of likes. |
| `commentCount` | Number of comments. |
| `shareCount` | Number of shares. |
| `listingDescription` | Product description. |
| `createdAt` | Listing creation timestamp, when available. |
| `firstPublishedAt` | First publication timestamp, when available. |
| `inventoryStatus` | Available inventory status. |
| `colors` | Listed colors, when available. |
| `scrapedAt` | Timestamp when the record was collected. |

### Example Output

```json id="v5n2km"
{
  "listingId": "6ade73acaa5c2335c84a58cc",
  "listingTitle": "Nike The Nike Tee Size S Gray Logo T-Shirt",
  "price": "10",
  "priceAmount": "10.0",
  "priceCurrency": "USD",
  "originalPrice": "0",
  "brand": "NIKE",
  "size": "S",
  "listingStatus": "published",
  "condition": "uln",
  "category": "Tops",
  "department": "Women",
  "creatorUsername": "adrianman4",
  "creatorId": "5da50a4885acd0bc2351e1d6",
  "likeCount": 0,
  "commentCount": 0,
  "shareCount": 0,
  "listingDescription": "Nike short sleeve crew neck t-shirt in light gray.",
  "createdAt": "2026-10-25T14:25:00-07:00",
  "firstPublishedAt": "2026-10-25T14:25:03-07:00",
  "inventoryStatus": "available",
  "colors": [
    "Gray"
  ],
  "scrapedAt": "2026-10-26T00:00:00+00:00"
}
```

This example illustrates the record structure. Actual values and available fields vary by listing.

### Working with Your Dataset

After the actor finishes, open the dataset to review and export your collected listings.

You can:

- Export results as JSON, CSV, Excel, or another supported format.
- Sort listings by price, brand, size, or engagement metrics.
- Filter records by product category or seller.
- Compare listings across different search terms.
- Analyze results using Python, Pandas, or spreadsheet tools.
- Save periodic snapshots for marketplace research.

### FAQ

**Who is this actor for?**

It is designed for resellers, marketplace researchers, marketers, and analysts who need structured Poshmark listing information.

**Do I need to log in?**

No login is required for the actor's intended collection of publicly accessible search listings.

**What export formats are supported?**

You can export the dataset in JSON, CSV, Excel, and other formats supported by Apify.

**Can I run the actor on a schedule?**

Yes. Configure an Apify schedule to refresh your dataset periodically.

**How many listings can one run collect?**

The maximum is 1,000 listings per run. The actual number returned depends on search results and data availability.

**Will every listing contain every field?**

No. Optional fields, including seller details, engagement counts, colors, and condition information, may be unavailable for some listings.

### Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or officially associated with Poshmark or its owners. Users are responsible for complying with applicable terms of use and laws when collecting and using data.

### Is Web Scraping Legal?

Collecting information that is already public is generally legal. There is no single law that bans all forms of web scraping. The limits are the usual ones: do not break into accounts, do not take private or confidential data, and be careful with personal data and copyrighted works. A site's terms can also restrict how you access it. Facts such as a public name, price, or rating are not the same thing as republishing someone's article or photo.

This actor collects information from public pages. It does not log in and it does not bypass access controls.

For a longer explanation, see Apify's article [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/).

# Actor input Schema

## `mode` (type: `string`):

What to scrape. Search listings parses Poshmark public search HTML.

## `query` (type: `string`):

Search term to look up on Poshmark.

## `maxItems` (type: `integer`):

Stop after this many successful rows. Hard max is 1000.

## `requestDelaySecs` (type: `number`):

Seconds to wait between requests.

## `userAgent` (type: `string`):

User-Agent header sent with each request.

## `timeoutSecs` (type: `integer`):

Overall run budget in seconds.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds. Raise this if large search pages time out.

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

Optional proxy. Leave off unless you need it.

## Actor input object example

```json
{
  "mode": "search",
  "query": "nike",
  "maxItems": 100,
  "requestDelaySecs": 2,
  "userAgent": "ActorResearch/1.0",
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Dataset rows in the overview table.

## `dataset` (type: `string`):

Full dataset for this run.

## `items` (type: `string`):

Dataset items as JSON.

# 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 = {
    "query": "nike"
};

// Run the Actor and wait for it to finish
const run = await client.actor("real-estate-api/poshmark-listings-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 = { "query": "nike" }

# Run the Actor and wait for it to finish
run = client.actor("real-estate-api/poshmark-listings-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 '{
  "query": "nike"
}' |
apify call real-estate-api/poshmark-listings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,real-estate-api/poshmark-listings-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/alWgHDa0fB88Cgfw8/builds/U2uMe9OzRjSKFewjC/openapi.json