Poshmark.com Scraper

Overview

This actor scrapes Poshmark search results and product detail pages, extracting structured data for resale analytics, market research, and inventory monitoring. Since Poshmark lacks a public API for bulk data access, this tool automates collection of listing information, seller details, and engagement metrics.

Key Features

• Scrapes both search result pages and individual product detail pages.
• Extracts comprehensive item data: title, description, price, original price, size, category, colors, and image URLs.
• Captures seller information and engagement metrics (likes, shares, comments, timestamps).
• Accepts custom search queries or direct listing URLs via startUrls.
• Handles pagination automatically to navigate through search results.
• Outputs clean, structured JSON ready for databases or data pipelines.

How to Use

Configure the actor using a JSON input object. The primary method is to provide one or more startUrls, which can be Poshmark search URLs or direct links to listing pages. You can also use a simple query string for a basic search.

Basic Input Example

{
  "startUrls": [
    { "url": "https://poshmark.com/search?query=hats&type=listings&src=dir" }
  ],
  "query": "hats",
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

• startUrls: An array of URLs to scrape. Use search URLs for broad collection or product URLs for specific items.
• query: A search term (e.g., "hats"). The actor will construct the search URL internally.
• maxItems: Limits the total number of items to scrape from search results.
• proxyConfiguration: Recommended configuration to avoid IP blocking. Using Apify Proxy with residential groups (RESIDENTIAL) increases reliability.

Input/Output

Input: The actor expects a JSON object with the parameters shown in the example above.

Output: The actor outputs a dataset of items, where each item is a detailed JSON object. The output includes:
* Item Metadata: id, title, description, price, original_price, size, category.
* Inventory & Status: Availability, quantity, and status change timestamps.
* Catalog Details: Department, category, and feature classifications (e.g., "Men" > "Accessories" > "Hats").
* Media: URLs for cover shots in various formats and sizes (path, path_small, path_large, WebP versions).
* Seller & Engagement: Creator ID, publish count, likes, shares, and comments.
* Timestamps: updated_at, status_changed_at, and inventory.status_changed_at.

The data is structured for direct integration into analytics platforms, databases, or custom applications.