# Poshmark Reviews Scraper (`hello.datawizards/poshmark-reviews-scraper`) Actor

Poshmark-Reviews-Scraper extracts user comments from Poshmark listings in structured JSON, including usernames, profile links, timestamps, and messages. Perfect for sentiment analysis, demand tracking, and customer engagement insights — fast and reliable.

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

## Pricing

from $0.005 / actor start

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-Reviews-Scraper · Apify Actor

Extract **authentic user comments and reviews** from any Poshmark product listing in structured JSON. Ideal for sentiment analysis, buyer intent research, and social proof data aggregation.
Developed and maintained by [DataWizards](https://linkedin.com/in/data-wizards-aa8080342).

***

### 📌 What Is `Poshmark-Reviews-Scraper`?

`Poshmark-Reviews-Scraper` is an Apify Actor that enables developers and data analysts to collect **public reviews and questions** from any product listing on \[Poshmark.com]. This tool scrapes **comment threads**, including usernames, profile links, timestamps, and user images — ready for direct use in analysis, dashboards, or integrations.

***

### 🧠 Key Features

- ✅ **Structured Comment Data** in JSON
- ✅ Scrapes **usernames, timestamps, comment text**, and **profile links**
- ✅ Lightweight and high-speed parsing
- ✅ Works with **multiple product listing URLs**
- ✅ Built-in support for **Apify Proxy**

***

### 🛠️ Input Schema

Here's how to get started with your input:

```json
{
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "queries": [
    "https://poshmark.com/listing/Polo-Ralph-Lauren-Sweatsuit-5d9572d4afade84e8ec56fc6"
  ],
  "item_limit": 10
}
```

#### 🔐 Proxy Configuration

- **useApifyProxy**: Must be set to `true` for consistent performance and bypassing rate limits.

***

### 📤 Output Example

```json
[
  {
    "username": "kevinshepher792",
    "profile_url": "https://poshmark.com/closet/kevinshepher792",
    "user_image": "https://di2ponv0v5otw.cloudfront.net/users/2018/10/08/5bbbbe69800deeebfab4cf48/t_5bbbbe6a800deeebfab4cfb4.jpg",
    "comment_text": "You have this in a medium",
    "comment_datetime": "2025-10-11"
  }
]
```

***

### 🚀 Use Cases

- 💡 **Sentiment Analysis** – Understand what buyers are asking or saying before purchase
- 🧾 **Product Demand Forecasting** – Measure interest through volume and type of comments
- 📈 **Trend Analysis** – Track user interactions across listings
- 🤖 **Conversation Monitoring** – Feed into bots or alerts for automated response systems

***

### ✅ Best Practices

- Set a reasonable `item_limit` to avoid overloading the page with requests
- Use `Apify Proxy` to minimize rate limits and maintain session stability
- Always validate Poshmark listing URLs before passing them to the actor

***

### 🤝 Support

Need help or a more customized solution?

**DataWizards is here to help.**

📩 Email: <hello.datawizard@gmail.com>
✉️ **Subject**: `Poshmark-Reviews-Scraper – Support Request`
🔗 LinkedIn: [linkedin.com/in/data-wizards-aa8080342](https://linkedin.com/in/data-wizards-aa8080342)

***

### 🧰 Need Custom Features?

Want to extract more fields, export in CSV, or integrate with your app?

**Let DataWizards tailor it for you.**
Whether it’s scaling, transforming, or automating — we’ve got your back.

***

### 💬 Feedback & Bugs

Have an issue or want a new feature?

📧 Email: `hello.datawizard@gmail.com`
🛠️ **Subject**: `Bug Report – Poshmark-Reviews-Scraper`

***

#### 🏁 Extract conversations with clarity using `Poshmark-Reviews-Scraper` — your lightweight, reliable solution for capturing user engagement on Poshmark.

***

# Actor input Schema

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

One or more product urls where the crawler will start.

## `item_limit` (type: `integer`):

Maximum number of items to scrape. Set to 0 for no limit.

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

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "queries": [
    "https://poshmark.com/listing/Polo-Ralph-Lauren-Sweatsuit-5d9572d4afade84e8ec56fc6"
  ],
  "item_limit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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": [
        "https://poshmark.com/listing/Polo-Ralph-Lauren-Sweatsuit-5d9572d4afade84e8ec56fc6"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("hello.datawizards/poshmark-reviews-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": ["https://poshmark.com/listing/Polo-Ralph-Lauren-Sweatsuit-5d9572d4afade84e8ec56fc6"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("hello.datawizards/poshmark-reviews-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": [
    "https://poshmark.com/listing/Polo-Ralph-Lauren-Sweatsuit-5d9572d4afade84e8ec56fc6"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call hello.datawizards/poshmark-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hello.datawizards/poshmark-reviews-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/y5CKDKbMwLFe3ScId/builds/IycN9IbDXZUAMJ9bJ/openapi.json