Poshmark Listings Scraper

What does it do?

Poshmark Listings Scraper extracts product listings from Poshmark, the leading social marketplace for new and secondhand fashion. It searches by keyword or brand name and collects detailed listing information including titles, prices, original prices, sizes, brands, likes, seller details, and product photos. Pagination is handled automatically.

Why use this scraper?

Poshmark has over 80 million users and millions of fashion listings across clothing, shoes, accessories, and home goods. This scraper enables resellers, fashion brands, market researchers, and data analysts to collect structured data at scale. Track competitor pricing, monitor fashion trends, identify resale opportunities, or analyze market demand for specific brands and styles.

How to use

1. Navigate to the Poshmark Listings Scraper on Apify.
2. Enter your search keywords or brand names in the input.
3. Set the maximum number of listings per keyword.
4. Click "Start" to begin scraping.
5. Download results in JSON, CSV, or Excel format.

The scraper can also be called via the Apify API for automated and scheduled workflows.

Input configuration

Parameter	Type	Description
keywords	Array	Search terms or brand names to search on Poshmark (default: nike air max, lululemon)
maxListings	Integer	Maximum listings per keyword (default: 200)
proxyConfig	Object	Proxy settings for the scraper

Output data

The scraper outputs a dataset with the following fields:

{
  "title": "Nike Air Max 90 - White/Black",
  "price": "$85",
  "originalPrice": "$120",
  "size": "10",
  "brand": "Nike",
  "likes": 34,
  "image": "https://di2ponv0v5otw.cloudfront.net/...",
  "url": "https://poshmark.com/listing/Nike-Air-Max-90-62abc123",
  "keyword": "nike air max",
  "scrapedAt": "2026-02-19T10:00:00.000Z"
}

Cost of usage

This scraper uses Cheerio for fast, lightweight crawling. Approximate cost is $0.75 per 1,000 listings with Apify proxy. Actual costs depend on the number of keywords, pagination depth, and proxy usage. The lightweight architecture keeps costs significantly lower than browser-based alternatives.

Tips

• Search by brand name for focused results (e.g., "lululemon", "nike").
• Combine keywords with size or color for precise targeting.
• Schedule regular runs to monitor pricing trends and new listings.
• Use the likes count to gauge item popularity and demand.
• Compare original prices with listing prices to analyze discount trends.
• Export data to spreadsheets for further analysis.
• The scraper automatically handles pagination up to 5 pages per keyword.

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Built with Crawlee and Apify SDK. See more scrapers by consummate_mandala on Apify Store.