# Poshmark Scraper - सस्ता Low-cost💲🔥👗🛍️ (`delectable_incubator/poshmark-scraper-sstaa-low-cost`) Actor

👗🔍 Extract Poshmark product listings by keyword with ease. Collect product titles, brands, prices, discounts, availability, descriptions, images, categories, seller details, and product URLs. Ideal for fashion trend analysis, price monitoring, competitor research and e-commerce analytics. 📊💸🛍️

- **URL**: https://apify.com/delectable\_incubator/poshmark-scraper-sstaa-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Automation, E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

<p align="center">
<img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Poshmark Product Scraper" width="100%">
</p>

## 👗🛍️ Poshmark Product Scraper | Bulk Poshmark Listings Scraper | Apify Actor

### 🚀 Extract Poshmark Product Data in Seconds (No Code)

The **Poshmark Product Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized Poshmark data extraction tool** designed to scrape Poshmark product listings in bulk.

Extract product information, prices, discounts, seller details, engagement metrics, inventory data, product images and more for **e-commerce research, resale intelligence, fashion analytics, competitor monitoring, AI datasets, lead generation, and marketplace tracking**.

---

### 🔥 Why This Poshmark Scraper?

✔ Best Poshmark Product Scraper on Apify

✔ Supports **Bulk Keyword Scraping (Multi-Search)**

✔ Fast & scalable product data extraction

✔ Extract prices, discounts & inventory data

✔ Seller intelligence & engagement metrics

✔ Clean structured JSON / CSV / Excel output

✔ Perfect for resellers, brands & ecommerce analysts

✔ No coding required

---

### 🎯 What This Scraper Does (Poshmark Product Data Extraction)

This Apify Actor extracts **real-time product listings directly from Poshmark search results**.

#### 📌 Core Features

✅ Scrape Poshmark product listings

✅ Bulk keyword product scraping (SEO BOOST 🚀)

✅ Extract product titles

✅ Extract brands & designer names

✅ Extract current & original prices

✅ Extract discount percentages

✅ Extract product descriptions

✅ Extract categories & departments

✅ Extract colors & sizes

✅ Extract inventory information

✅ Extract product images

✅ Extract seller profiles

✅ Extract likes, shares & comments

✅ Extract product URLs

✅ Auto pagination handling

✅ High-speed extraction engine

---

### ⚡ Input Configuration (Simple & Powerful)

#### 🔥 BULK KEYWORD MODE (SEO BOOST 🚀)

````

{
"keywords": \[
"nike sneakers",
"vintage dress",
"luxury handbag",
"designer shoes",
"men jacket",
"women accessories"
],
"max\_items": 500
}

```

---

### 📊 Extracted Product Data (Structured Output)

| Field         | Description           |
| ------------- | --------------------- |
| id            | Product identifier    |
| title         | Product title         |
| brand         | Brand name            |
| price         | Current selling price |
| originalPrice | Original price        |
| discount      | Discount percentage   |
| description   | Product description   |
| category      | Product category      |
| department    | Product department    |
| colors        | Available colors      |
| sizes         | Available sizes       |
| inventory     | Stock information     |
| images        | Product image URLs    |
| seller        | Seller information    |
| likes         | Total likes           |
| shares        | Total shares          |
| comments      | Total comments        |
| productUrl    | Product URL           |

---

### 💡 Use Cases (High Demand SEO Keywords)

This Poshmark scraper is ideal for:

👗 Fashion product scraping

🛍️ Poshmark listing extraction

📊 Ecommerce market research

💰 Price monitoring & discount tracking

🏷️ Brand intelligence

📈 Fashion trend analysis

🤖 AI training datasets

🛒 Resale market analytics

🎯 Competitor monitoring

⚡ Bulk product data extraction

---

### 🚀 Key Features (Apify SEO Optimized)

⚡ Bulk keyword scraping support

🌍 Large-scale marketplace coverage

📌 Smart pagination system

🧠 Clean structured output

📊 High-speed scraping engine

🔁 Auto retry & stability system

💾 Export-ready datasets

⚙️ Scalable cloud execution

---

### 📤 Output Formats Supported

✔ JSON

✔ CSV

✔ Excel XLSX

✔ XML

✔ HTML

✔ API-ready datasets

---

### 📦 Example Output

```

{
"id": "670e2ed8e86380ffe0da6636",
"title": "Vintage Bra",
"brand": "Vintage",
"price": 35,
"originalPrice": 555,
"discount": "93% OFF",
"category": "Intimates & Sleepwear",
"department": "Women",
"color": "White",
"size": "36C",
"likes": 15,
"shares": 191,
"comments": 0,
"seller": {
"username": "moderngal"
},
"productUrl": "https://poshmark.com/listing/670e2ed8e86380ffe0da6636"
}

````

---

### 🔥 Why This is the BEST Poshmark Scraper on Apify?

✔ Optimized for Apify search ranking

✔ High-performance scraping engine

✔ Bulk keyword support (rare feature)

✔ Deep product metadata extraction

✔ Seller & engagement analytics

✔ Enterprise-ready scalability

✔ Perfect for SEO traffic & marketplace visibility

---

### 💸 Pricing

This scraper runs on a **pay-per-result pricing model**.

You only pay for successfully extracted records.

💳 Price: $0.99 / 1,000 results

---

### ❓ FAQ (SEO BOOST SECTION)

#### Can I scrape multiple keywords at once?

Yes — bulk keyword mode is fully supported.

#### Can I scrape products from different categories?

Yes — fashion, shoes, accessories, beauty, home decor and more.

#### Can I extract seller information?

Yes — seller profile information is included when available.

#### Can I track prices and discounts?

Yes — current price, original price and discount data are extracted.

#### Is coding required?

No — this is a 100% no-code Apify Actor.

#### Can I export the data?

Yes — JSON, CSV, Excel, XML and HTML are supported.

---

### ⚠️ Disclaimer

This tool is not affiliated with Poshmark.

It is an independent data extraction solution designed for public marketplace data collection and analysis.

---

### 🔗 Related Actors (Ecommerce Intelligence Suite)

We are building a full **PrimeScrape Ecommerce Intelligence Suite**.

👉 More marketplace scrapers coming soon 🚀

---

### 🌍 PrimeScrape Ecosystem

Built for **data scraping, automation, AI datasets, ecommerce intelligence and market research at scale**.

🛍️ Product data extraction

🏷️ Brand intelligence

📈 Market analytics

🤖 AI training datasets

💰 Price monitoring

⚙️ Automation pipelines

---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a review if you like this scraper.

📩 Contact us for custom scraping solutions, enterprise integrations, bulk data collection, or private actors.

🚀 PrimeScrape — Professional Data Extraction at Scale.

# Actor input Schema

## `keywords` (type: `array`):

One or more keywords to search on Poshmark. Each keyword is scraped separately.
## `maxitems` (type: `integer`):

Maximum number of products to collect per keyword.

## Actor input object example

```json
{
  "keywords": [
    "sneaker",
    "dress"
  ],
  "maxitems": 50
}
````

# Actor output Schema

## `overview` (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 = {
    "keywords": [
        "sneaker",
        "dress"
    ],
    "maxitems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/poshmark-scraper-sstaa-low-cost").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 = {
    "keywords": [
        "sneaker",
        "dress",
    ],
    "maxitems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/poshmark-scraper-sstaa-low-cost").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 '{
  "keywords": [
    "sneaker",
    "dress"
  ],
  "maxitems": 50
}' |
apify call delectable_incubator/poshmark-scraper-sstaa-low-cost --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Poshmark Scraper - सस्ता Low-cost💲🔥👗🛍️",
        "description": "👗🔍 Extract Poshmark product listings by keyword with ease. Collect product titles, brands, prices, discounts, availability, descriptions, images, categories, seller details, and product URLs. Ideal for fashion trend analysis, price monitoring, competitor research and e-commerce analytics. 📊💸🛍️",
        "version": "0.0",
        "x-build-id": "jaaoyt0LCKxRKNcJ8"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~poshmark-scraper-sstaa-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-poshmark-scraper-sstaa-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~poshmark-scraper-sstaa-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-poshmark-scraper-sstaa-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~poshmark-scraper-sstaa-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-poshmark-scraper-sstaa-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "keywords"
                ],
                "properties": {
                    "keywords": {
                        "title": "Keywords to search on Poshmark 🔍",
                        "type": "array",
                        "description": "One or more keywords to search on Poshmark. Each keyword is scraped separately.",
                        "default": [
                            "sneaker",
                            "dress"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxitems": {
                        "title": "Maximum products per keyword 📈",
                        "type": "integer",
                        "description": "Maximum number of products to collect per keyword.",
                        "default": 50
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
