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Poshmark Scraper

Pricing

from $2.00 / 1,000 results

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Poshmark Scraper

Poshmark Scraper

Scrapes product listings from Poshmark results. Supports Category search, pagination, and rate-limit handling. Designed for stable, production-scale scraping.

Pricing

from $2.00 / 1,000 results

Rating

5.0

(1)

Developer

Hicham zak

Hicham zak

Maintained by Community

Actor stats

3

Bookmarked

2

Total users

1

Monthly active users

a day ago

Last modified

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Overview

The Poshmark Scraper is a production-grade Apify actor designed to extract product listings from poshmark.com & poshmark.ca.

This actor is built for stability, scalability, and ease of use, providing clean, structured output suitable for analytics, monitoring, research, and downstream automation.

It supports category search, sorting, pagination, and rate-limit handling.


Key Features

  • Category search – target specific product types or collections.

  • Sorting & filtering – retrieve listings by price, recency, likes, or relevance.

  • Pagination & rate-limit handling – ensures efficient data extraction without interruptions.

  • Flexible output – store both raw API responses and cleaned, simplified data for multiple use cases.

Whether you’re a data scientist, product manager, or growth analyst, this actor provides actionable insights from Poshmark with minimal setup.


How It Works

  1. The actor initializes and validates input parameters.
  2. Results are paginated automatically until the requested limit (maxItems) is reached.
  3. Each item is simplified into a clean, user-friendly structure while optionally storing raw API data.
  4. Cleaned data is stored in the default Apify dataset for immediate access or downstream processing, and raw data is stored separately in the raw-data dataset.

Input Configuration

Required Fields

FieldTypeDescription
CategorystringFilter results by category
CountrystringUnited States OR Canada

Optional Fields

FieldTypeDescription
sortByintegerSorting mode
maxItemsintegerMaximum number of items to scrape

Sorting Options (sortBy)

Just Shared, Just In, Price: High to Low, Price: Low to High, Recent Price Dropped, Likes, Relevance


Output Data Structure

The actor produces two types of output:

  • Simplified data – a clean, user-friendly schema suitable for analytics or visualization.

  • Raw data – the original API response for advanced use or debugging.

Simplified item example

{
"id": "69701ee8420644f036cade78",
"title": "Patagonia women’s size small brown athetic capri pants leggings",
"description": "Good used condition. Women’s size small. Stretching material.\n\nPlease check out my other items as well!",
"brand": "Patagonia",
"category": "Pants",
"department": "Women",
"price": 15,
"original_price": 50,
"currency": "$",
"condition": null,
"size": "S",
"colors": [
"Brown"
],
"style_tags": [],
"availability": "available",
"share_count": 3,
"like_count": 6,
"comment_count": 0,
"creator": {
"username": "3thriftythreads",
"display_name": "! kay Stalker",
"profile_image": "https://di2ponv0v5otw.cloudfront.net/users/2021/05/04/10/t_60917ed80c0c9662d9f4aff1.jpg"
},
"created_at": "2026-01-20T16:33:44-08:00",
"updated_at": "2026-02-02T08:32:53-08:00",
"image_cover": "https://di2ponv0v5otw.cloudfront.net/posts/2026/01/20/69701ee8420644f036cade78/m_69701ee8420644f036cade79.jpg",
"images": [
"https://di2ponv0v5otw.cloudfront.net/posts/2026/01/20/69701ee8420644f036cade78/m_69701ee9420644f036cade80.jpg",
"https://di2ponv0v5otw.cloudfront.net/posts/2026/01/20/69701ee8420644f036cade78/m_69701eea420644f036cade89.jpg",
"https://di2ponv0v5otw.cloudfront.net/posts/2026/01/20/69701ee8420644f036cade78/m_69701eea420644f036cade8d.jpg",
"https://di2ponv0v5otw.cloudfront.net/posts/2026/01/20/69701ee8420644f036cade78/m_69701eeb420644f036cade94.jpg"
],
"sizes": [
{
"size": "S",
"available": 1,
"reserved": 0,
"sold": 0
}
],
"url": "https://poshmark.com/listing/Patagonia-women’s-size-small-brown-athetic-capri-pants-leggings-69701ee8420644f036cade78"
}

Use Cases

  1. 📊 Market research and price analysis

  2. 🛒 Product discovery and comparison

  3. 📈 Trend monitoring

  4. 🤖 Feeding downstream automation pipelines

  5. 🧠 Dataset creation and enrichment

Performance & Reliability

  1. Automatic retries with exponential backoff

  2. Graceful handling of rate limits (403 / 429)

  3. Batched dataset writes for efficiency

  4. Designed for long-running and large-scale jobs

Support & Maintenance

This actor is actively maintained and designed for production usage. For issues or feature requests, please use the Apify platform issue tracker.

Final Notes

This actor prioritizes:

  1. Data clarity

  2. Operational reliability

  3. Professional usability

It is suitable for both individual users and enterprise-scale workflows.