# Poshmark Scraper - Listings, Sold Comps & Seller Leads (`scrapesage/poshmark-scraper`) Actor

Scrape Poshmark listings with brand, size, condition, price + original price, photos & engagement, plus real sold comps (sold price & days-to-sell), full seller closets, and rich seller leads with followers, ratings, website & linked Instagram. Monitoring mode. JSON, CSV, Excel.

- **URL**: https://apify.com/scrapesage/poshmark-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Poshmark Scraper — Listings, Sold Comps & Seller Leads

Extract **resale listings, real sold prices, and seller leads** from [Poshmark](https://poshmark.com) — one of the largest social marketplaces for fashion, shoes, bags, beauty, home and electronics. Get **brand, size, condition, price + original price & discount, photos, colors, style tags and engagement**, plus **sold comps** (final sold price & days-to-sell), full **seller closets**, and rich **seller-lead profiles** with followers, items sold, ratings, website and linked Instagram / Twitter / Pinterest.

No login, no cookies, no API key — powered by Poshmark's own public data, so results are clean, structured JSON.

### Why this Poshmark scraper?

| Typical scrapers | This actor |
| --- | --- |
| One listing dump | **5 modes** — Search, Sold comps, Closet, Seller leads, Item detail |
| Title + price only | **40+ fields** per listing: brand, size, condition, price + original price + discount %, colors, style tags, photos, likes/shares/comments, the seller |
| No sold data | **Sold comps** — the final **sold price**, **sold date** and **days-to-sell** Poshmark hides from search (real comps for pricing & sourcing) |
| No contact data | **Seller leads** — followers, items sold, ratings, super-seller status, city/state, **website + linked Instagram/Twitter/Pinterest** and a 0–100 **lead score** |
| Re-scrapes everything | **Monitoring mode** — emit only new listings/sold comps/sellers since the last run |
| Hidden caps & start fees | **No start fee**, transparent pay-per-result, honest result caps |

### Use cases

- **Resale pricing & sourcing** — pull **sold comps** for a brand/style (e.g. "Lululemon Align leggings") to see what actually sells, at what price, and how fast (days-to-sell) before you buy or list.
- **Deal & restock monitoring** — watch a saved search (e.g. "NWT Coach bag under $120") and get only newly listed items each run for sniping deals or reselling.
- **Reseller & influencer lead generation** — turn the sellers behind listings into leads: followers, sales volume, ratings, super-seller/ambassador status, website and linked socials for wholesale, consignment, sourcing or partnership outreach.
- **Competitor closet tracking** — pull a competitor's entire closet to see what they list, at what prices, with how many likes and shares.
- **Brand & trend analysis** — aggregate prices, conditions, discounts and engagement across a brand or category to model demand and resale value.

### How to use

1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor.
2. Open the **Poshmark Scraper**, fill in the inputs you need, and click **Start**.
3. Watch results stream into the dataset table as each record is parsed.
4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2).

### Input

```json
{
  "mode": "search",
  "searchQueries": ["nike air force 1", "lululemon align leggings"],
  "brand": "Nike",
  "department": "Women",
  "priceMin": 25,
  "priceMax": 150,
  "conditionFilter": "nwt",
  "sortBy": "newest",
  "enrichSellerLeads": true,
  "maxResults": 500,
  "proxyConfiguration": { "useApifyProxy": true }
}
```

- **mode** — `search` (live listings), `soldComps` (sold price & days-to-sell), `closet` (a seller's listings), `sellers` (seller leads), or `itemDetail` (specific listings).
- **searchQueries** — keywords like `nike air force 1`, `coach bag`, `vintage levis`. Combined with the filters below.
- **brand / department / color / priceMin / priceMax / conditionFilter / sortBy** — narrow the results. Poshmark returns up to ~5,000 results per search, so use several focused queries to go deeper.
- **sellerUsernames** — usernames (or closet URLs) for `closet` and `sellers` modes.
- **listingIds** — specific listing IDs for `itemDetail` mode.
- **startUrls** — paste Poshmark URLs directly: `poshmark.com/listing/...`, `poshmark.com/closet/<username>`, or `poshmark.com/search?query=...`.
- **enrichSellerLeads** — also output a deduplicated seller-lead record for every unique seller found.
- **crawlSellerWebsites** — for sellers with a website, crawl it for emails & phone numbers.

### Output

A **listing** record (`type: "listing"`, or `type: "soldListing"` in sold-comps mode):

```json
{
  "type": "soldListing",
  "id": "6a235d7cb9449136f18e99a2",
  "url": "https://poshmark.com/listing/6a235d7cb9449136f18e99a2",
  "title": "Nike Air Force 1 '07 Triple White",
  "brand": "Nike",
  "department": "Women",
  "category": "Shoes",
  "size": "US 8",
  "condition": "Used - Like new",
  "conditionCode": "uln",
  "colors": ["White"],
  "styleTags": ["sneakers", "streetwear"],
  "price": { "amount": 72, "currency": "USD", "symbol": "$", "display": "$72" },
  "originalPrice": { "amount": 110, "currency": "USD", "symbol": "$", "display": "$110" },
  "discountPercent": 35,
  "status": "sold_out",
  "isSold": true,
  "soldDate": "2026-05-31T18:02:00Z",
  "daysToSell": 6,
  "quantitySold": 1,
  "shares": 412,
  "likes": 38,
  "comments": 2,
  "hasOffers": true,
  "sellerUsername": "kicks4u",
  "sellerName": "Kick Seller",
  "sellerUrl": "https://poshmark.com/closet/kicks4u",
  "coverImage": "https://di2ponv0v5otw.cloudfront.net/posts/...jpeg",
  "images": ["https://di2ponv0v5otw.cloudfront.net/posts/...jpeg"],
  "listedAt": "2026-05-25T14:00:00Z",
  "scrapedAt": "2026-06-17T03:00:00Z"
}
```

A **seller** record (`type: "seller"`) carries `fullName`, `location`, `followers`, `itemsSold`, `listingsForSale`, `sellerRating`, `sellerRatingCount`, `superSeller`/`ambassador`, `website`, `instagram`/`twitter`/`pinterest`, `joinedAt`, a 0–100 `leadScore`, and (with `crawlSellerWebsites`) `crawledEmails` / `crawledPhones`.

Notes: sold-comp fields (`soldDate`, `daysToSell`, `quantitySold`) are populated for sold listings. Empty results are reported as a successful run. The actor scrapes public marketplace data only.

### Monitoring — get only new listings

Turn on **monitorMode** and the actor remembers every id it has emitted (in a named key-value store keyed by **monitorKey**). On the next run with the same inputs it returns **only records it hasn't seen before** — new listings, new sold comps or new sellers.

- Use a distinct **monitorKey** per saved search so different watches keep separate memory.
- It pairs perfectly with **[Apify Schedules](https://docs.apify.com/platform/schedules)**: the schedule starts the run on a cron; monitoring mode dedupes against prior runs — so a daily watch for "NWT Coach bag under $120" only ever surfaces fresh listings.

### Automate & schedule

Run this actor on autopilot and pull results into your own stack:

- **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST.
- **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs.
- **[Schedules](https://docs.apify.com/platform/schedules)** — run it on a cron to keep your data fresh.
- **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions the moment a run finishes.

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

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/poshmark-scraper').call({
    mode: 'soldComps',
    searchQueries: ['lululemon align leggings'],
    priceMax: 120,
    monitorMode: true,
    monitorKey: 'lulu-sold-comps',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);
```

### Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

- **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios.
- **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new records straight into your CRM or sheet.
- **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a run finds something new.
- **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet.
- **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse.
- **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases.

### Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "pull sold comps for Lululemon Align leggings on Poshmark and tell me the median sold price and average days-to-sell" and let it run this scraper for you.

### Agent-ready: autonomous payments (x402 & Skyfire)

This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards:

- **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key.
- **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

### More scrapers from scrapesage

Pair Poshmark with other marketplace, price and lead-gen scrapers:

- [reverb-scraper](https://apify.com/scrapesage/reverb-scraper) — musical-instrument marketplace listings, price guide & seller leads
- [shopify-store-scraper](https://apify.com/scrapesage/shopify-store-scraper) — Shopify storefront products, prices & merchant leads
- [made-in-china-scraper](https://apify.com/scrapesage/made-in-china-scraper) — B2B supplier products & company leads
- [tradeindia-scraper](https://apify.com/scrapesage/tradeindia-scraper) — India B2B suppliers, products & contacts
- [importyeti-scraper](https://apify.com/scrapesage/importyeti-scraper) — US-customs supplier & importer trade intelligence
- [craigslist-scraper](https://apify.com/scrapesage/craigslist-scraper) — classifieds listings & seller contacts
- [sgcarmart-used-car-scraper](https://apify.com/scrapesage/sgcarmart-used-car-scraper) — used-vehicle prices & dealer leads
- [website-contact-scraper](https://apify.com/scrapesage/website-contact-scraper) — emails, phones & socials from any domain list

### Tips

- Poshmark returns up to ~5,000 results per search. To pull a whole brand or category, split it into several narrower queries (by keyword, price band, or size).
- The default Apify Proxy (datacenter) works well with Poshmark — no residential proxy needed.
- Use **sortBy = `newest`** when monitoring for fresh listings, or **`most_liked`** to surface the hottest items.
- Use **soldComps** mode to value items: it returns the final sold price, sold date and days-to-sell so you can price and source with real data.
- Turn on **enrichSellerLeads** to get a rich lead record per seller, and **crawlSellerWebsites** to add emails & phones from sellers' own websites.

### FAQ

- **Does it need my Poshmark login or an API key?** No. It reads Poshmark's public data — no account, cookies or key.
- **Can I really get sold prices?** Yes — `soldComps` mode returns sold listings with the final price, sold date and days-to-sell, which the normal search hides.
- **Which regions are covered?** Poshmark US (and items surfaced on poshmark.com). Prices are in USD.
- **How do I get seller contact details?** Use **sellers** mode (or `enrichSellerLeads`) — profiles expose followers, ratings, location, website and linked Instagram/Twitter/Pinterest, plus a lead score; `crawlSellerWebsites` adds emails & phones from a seller's own website.
- **Are there exports?** Yes — JSON, CSV, Excel, XML and RSS, plus the API and 5,000+ integrations.
- **Is this legal?** It collects publicly available marketplace listings and public seller profiles only — no private personal data.

### Need help?

Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained.

# Actor input Schema

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

<b>Search</b> = live listings for sale (the default). <b>Sold comps</b> = recently SOLD listings with final price & days-to-sell (the data Poshmark hides — pricing gold for resellers). <b>Closet</b> = every listing in a seller's closet. <b>Seller leads</b> = rich seller profiles with followers, ratings, website & socials. <b>Item detail</b> = full data for specific listings.

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

Keywords to search on Poshmark, e.g. <code>nike air force 1</code>, <code>lululemon align leggings</code>, <code>coach bag</code>, <code>vintage levis</code>. Each query is combined with the filters below. Leave empty to browse purely by filters (e.g. all Nike in Women under $50). Used in Search, Sold comps and Seller-leads modes.

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

Paste Poshmark URLs directly: listing pages (<code>poshmark.com/listing/...</code>), closet pages (<code>poshmark.com/closet/\<username></code>), or search URLs (<code>poshmark.com/search?query=...</code>). Used in addition to the inputs above.

## `sellerUsernames` (type: `array`):

Poshmark usernames for <b>Closet</b> and <b>Seller leads</b> modes, e.g. <code>thriftqueen</code>. You can paste a full closet URL too — the username is extracted.

## `listingIds` (type: `array`):

Specific Poshmark listing IDs (the 24-character hex id at the end of a listing URL) for <b>Item detail</b> mode.

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

Filter by brand, e.g. <code>Nike</code>, <code>Lululemon</code>, <code>Coach</code>, <code>Zara</code>, <code>Free People</code>.

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

Top-level Poshmark department.

## `color` (type: `string`):

Filter by color, e.g. <code>Black</code>, <code>White</code>, <code>Red</code>, <code>Blue</code>, <code>Green</code>.

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

Only listings at or above this price.

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

Only listings at or below this price.

## `conditionFilter` (type: `string`):

Keep only listings of this condition (applied to results).

## `sortBy` (type: `string`):

How to order search results.

## `enrichSellerLeads` (type: `boolean`):

In Search / Sold comps / Closet modes, also push one deduplicated seller-lead record (type = "seller") for every unique seller found — with followers, items sold, ratings, website and linked socials.

## `crawlSellerWebsites` (type: `boolean`):

For seller leads that list a personal website, fetch it (home + contact page) and extract emails, phone numbers. Adds a few requests per seller with a website.

## `maxResults` (type: `integer`):

Maximum number of listings (or sold comps) to scrape across all queries. Poshmark returns up to ~5,000 results per search — use several focused queries to go deeper.

## `maxSellers` (type: `integer`):

Maximum number of seller-lead profiles to fetch (Seller-leads mode, or when "emit seller-lead records" is on).

## `deduplicateResults` (type: `boolean`):

Skip records already emitted in this run (recommended).

## `monitorMode` (type: `boolean`):

Remember ids across runs in a named key-value store and emit ONLY records not seen before (new listings, new sold comps, new sellers). Perfect for deal alerts and price-watching. Works with Apify Schedules.

## `monitorKey` (type: `string`):

Names the memory used by monitoring mode. Use a distinct key per saved search so different watches don't share state.

## `maxConcurrency` (type: `integer`):

Maximum parallel requests. 6–10 is a good balance.

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

Proxy settings. The default Apify Proxy (datacenter) works well with Poshmark.

## Actor input object example

```json
{
  "mode": "search",
  "searchQueries": [
    "nike air force 1"
  ],
  "department": "All",
  "conditionFilter": "any",
  "sortBy": "relevance",
  "enrichSellerLeads": false,
  "crawlSellerWebsites": false,
  "maxResults": 200,
  "maxSellers": 200,
  "deduplicateResults": true,
  "monitorMode": false,
  "monitorKey": "default",
  "maxConcurrency": 6,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

All scraped records as JSON items in the default dataset.

# 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 air force 1"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/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 air force 1"],
    "proxyConfiguration": { "useApifyProxy": True },
}

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

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 air force 1"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scrapesage/poshmark-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapesage/poshmark-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/WjwRsczzNw9beUknW/builds/hcRZ1wJRIZoaEq8GB/openapi.json