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Poshmark Scraper

Pricing

$10.00/month + usage

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Poshmark Scraper

Poshmark Scraper

Scrape Poshmark listings by keyword or seller closet. Extract prices, sold data, seller ratings, brand, size, condition, and 40+ fields per listing. Filter by department, price range, color, and availability. Export to JSON, CSV, or Excel.

Pricing

$10.00/month + usage

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Developer

ParseForge

ParseForge

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2

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1

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4 days ago

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πŸ‘œ Poshmark Scraper

Pull listings from Poshmark by keyword or seller closet. Get sold prices, days to sell data, seller ratings, and 40+ fields per listing. Download as CSV or JSON.

Search for any keyword or point it at a specific seller's closet. Filter by price range, size, color, condition, department, and availability. Great for resellers tracking competition, analysts studying resale trends, or anyone who needs Poshmark data in bulk.

✨ What Does It Do

  • πŸ” Keyword search - find listings across all of Poshmark for any query
  • πŸ‘— Seller closet - pull every listing from a specific seller
  • πŸ’° Sold price tracking - filter for sold items to see what prices actually cleared
  • ⏱️ Days to sell - automatically calculated from listing date to sale date
  • πŸ“Š Seller metrics - followers, items sold, love notes, five-star ratings
  • 🎯 Advanced filters - price range, size, color, condition, department, shipping, listing type
  • πŸ“₯ Export ready - download as CSV or JSON

πŸ—ƒοΈ What Poshmark Data Can You Extract?

Poshmark Scraper pulls any kind of listing data from Poshmark search results and seller closets, such as:

πŸ–ΌοΈ Listing image🏷️ TitleπŸ‘Ÿ Brand
πŸ“ Size🏁 ConditionπŸ—‚οΈ Category
πŸ’΅ PriceπŸ’² Original priceπŸ“¦ Inventory status
❀️ Like countπŸ” Share countπŸ’¬ Comment count
🎨 Colors🏷️ Style tagsπŸ’Ό Has active offers
🎁 Bundle discount🚚 Shipping discountπŸ‘€ Seller username
πŸ‘₯ Seller followersπŸ“ˆ Seller items sold⭐ Seller ratings
⏱️ Time to sell (days)πŸ“ DescriptionπŸ”— Listing URL
πŸ“… First publishedπŸ“… Sold dateπŸ“… Scraped date

🎬 Demo Video

Demo video coming soon.

πŸ”§ Input

  • Search Query - keyword to search (e.g. "nike shoes", "lululemon leggings")
  • Max Items - how many listings to collect (free: up to 100, paid: up to 1,000,000)
  • Scrape Mode - search for keyword results or seller_closet for a specific user
  • Seller Username - Poshmark username when using seller closet mode
  • Department - Women, Men, Kids, Home, Electronics, Pets, Luxury, Beauty & Wellness
  • Availability - all, available, sold items, dropping soon
  • Condition - any or New With Tags (NWT) only
  • Price Min / Max - strict price range filter in USD
  • Size - filter by size (e.g. "8", "XL", "Medium")
  • Color - filter by color (e.g. "Red", "Black")
  • Shipping - free shipping or discounted shipping only
  • Listing Type - closet or boutique
  • Sort By - best match, newest, price high/low, price drop, most liked, relevance

Example input:

{
"searchQuery": "nike shoes",
"maxItems": 10,
"scrapeMode": "search",
"availability": "sold_out",
"department": "Women",
"condition": "all",
"priceMin": 20,
"priceMax": 150,
"sortBy": "best_match"
}

πŸ“Š Output

Each listing includes 40+ fields. Download as CSV or JSON from the dataset tab.

Example output:

{
"imageUrl": "https://di2ponv0v5otw.cloudfront.net/posts/...",
"id": "65a1f2970dfd6407f0c0bf4b",
"title": "Nike Air Max 270 Women's Size 8",
"brand": "Nike",
"condition": "nwt",
"size": "8",
"category": "Shoes",
"department": "Women",
"price": 75,
"originalPrice": 150,
"inventoryStatus": "sold_out",
"likeCount": 12,
"shareCount": 34,
"colors": ["White", "Pink"],
"styleTags": ["Athletic", "Running"],
"sellerUsername": "sneakerqueen_nyc",
"sellerFollowers": 842,
"sellerItemsSoldDisplay": "500+ sold",
"sellerFiveStarRatingCount": 318,
"timeToSellDays": 3.5,
"url": "https://poshmark.com/listing/65a1f2970dfd6407f0c0bf4b",
"scrapedAt": "2025-03-17T14:30:00.000Z"
}

πŸ’Ž Why Use This Tool?

FeatureThis ToolManual browsing
Bulk export sold listingsβœ”οΈβŒ
Days to sell calculationβœ”οΈβŒ
Seller performance metricsβœ”οΈβŒ
Price range strict filteringβœ”οΈPartial
Size + color + department combinedβœ”οΈβŒ
Seller closet full exportβœ”οΈβŒ
CSV / JSON downloadβœ”οΈβŒ

πŸ“‹ How to Use

  1. Sign Up - Create a free Apify account with $5 credit
  2. Find the tool - search for "Poshmark Scraper" in Apify Store
  3. Set your input - pick search mode, enter keywords or a seller username
  4. Add filters - price range, size, color, condition, department
  5. Run it - click Start and watch results appear
  6. Download - export as CSV, Excel, or JSON

🎯 Use Cases

Resellers & Flippers

  • Track sold prices for specific brands and sizes
  • See how long items sit before selling (days to sell)
  • Find underpriced listings by comparing to sold comps

Market Researchers

  • Analyze pricing trends across categories
  • Monitor competitor seller activity
  • Build datasets for resale market studies

Brand Teams

  • Track how your brand's products are being resold
  • Monitor resale prices vs. retail
  • Identify top resellers in your category

❓ FAQ

Does it get sold listings? Yes. Set availability to "Sold Items" to get only sold listings with the date sold and final price.

Can I pull all listings from a seller's entire closet? Yes. Set the mode to "seller_closet" and enter the seller's username. It paginates through all their listings automatically.

How accurate is the Days to sell calculation? It's calculated as days between firstPublishedAt and inventoryStatusChangedAt (sold date). Accurate for listings that weren't relisted.

Does the price filter work strictly? Yes. Yes. Every result is verified to fall within your specified range.

Can I schedule recurring runs? Yes. Connect via Make, Zapier, or Apify Scheduler to run daily or weekly.

πŸ”— Integrate with Any App

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πŸ’‘ Browse all ParseForge data tools

πŸ†˜ Need Help?

Check the FAQ above or contact us for custom requests or issues.

πŸ“ž Contact

Request a new scraper, propose a custom data project, or report an issue at https://tally.so/r/BzdKgA

⚠️ Disclaimer

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Poshmark or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.