Poshmark Listings Scraper (poshmark.com) - Search, Sold Items, Closets & Prices

Scrape listings from Poshmark (poshmark.com): title, brand, size, price, original price, discount, condition, photos, likes, comments and seller details. Search by keyword, brand, category or seller closet, collect sold listings with their sold date, or open single listings, then export the data as JSON, CSV or Excel or call the actor as an API. Paste a Poshmark link or type a keyword, press Start and get a clean table.

Target website: poshmark.com

✨ Features of this Poshmark listings scraper

• Listing extraction - search results, brand pages, category pages, seller closets and single listing pages with price, original price, discount, brand, size, colors, condition, description, photos, status and dates.
• Sold listings - switch the status to sold to get sold items with the sold date and sold price, handy for resale price research.
• Pagination support - pages are followed automatically until your item limit is reached.
• Filters - department, category, brand, sizes, colors, condition, price range, sort order and listing status.
• Full details on demand - optionally add shipping cost, comments, who liked an item and the seller profile (followers, items sold, location, member since).
• Big searches - when a search is bigger than what Poshmark shows for one search, it is split into smaller ones automatically so you can collect more.
• Cache for new items - run the same search on a schedule and get only new or changed listings.
• Proxy support - datacenter proxies are used by default and are enough.
• No browser required - runs are fast and cheap.

🚀 How to scrape Poshmark listings in 5 steps

1. Sign up for a free Apify account - includes $5 monthly credit.
2. Open the actor page and click Try for free.
3. Fill in the Input fields (a Poshmark URL, a search keyword or a seller username is required).
4. Click Start and wait for the run to complete.
5. Download results from the Output tab in JSON, CSV, or Excel format.

You can also run this actor via the Apify API or integrate it directly into your workflows using Zapier, Make, or n8n.

💰 Pricing for the Poshmark scraper

This actor uses pay-per-result billing based on the compute units a run consumes.

• New Apify accounts include $5 of free monthly credit.
• Runs without a browser cost significantly less than browser-based scrapers.
• Datacenter proxies are used by default; they are cheap and enough for Poshmark.

🖼️ Poshmark scraper input screenshot

The numbers match the input fields below:

1. Poshmark URLs: search, brand, category, closet or listing pages.
2. Search keywords: keywords to search, one per entry.
3. Cache project name: reuse it on each run to get only new and changed listings.
4. Max items per input: the listing limit for each URL, keyword or seller.
5. Scrape full details: add shipping cost, comments, likers and the seller profile.
6. Listing status: available or sold listings.
7. Department: Women, Men, Kids, Home, Pets or Electronics.
8. Brand: only listings of this brand.

🔧 Poshmark scraper input configuration

Field	Type	Required	Default	Description
Poshmark URLs (startUrls)	array	-	prefilled search	Search, brand, category, closet or single listing links. Filters in the link are kept.
Search keywords (searchQueries)	array	-	-	Keywords to search, one per entry.
Seller usernames (sellers)	array	-	-	Usernames whose closet to scrape.
Cache project name (cacheProjectName)	string	-	-	Same name on each run gives only new or changed listings.
Max items per input (maxItems)	integer	-	5	Maximum listings saved for each URL, keyword or seller.
Scrape full details (scrapeDetails)	boolean	-	false	Adds shipping, comments, likers and the seller profile.
Listing status (availability)	string	-	available	available or sold_out (sold listings with the sold date).
Department (department)	string	-	-	Women, Men, Kids, Home, Pets or Electronics.
Category (category)	string	-	-	Poshmark category name such as Tops, Shoes or Bags.
Brand (brand)	string	-	-	Brand name as Poshmark writes it, for example Nike.
Sizes (sizes)	array	-	-	Sizes to keep, for example M, 8 or XL.
Colors (colors)	array	-	-	Poshmark color names such as Black or Red.
Condition (condition)	string	-	all	all or nwt (new with tags only).
Minimum price (minPrice)	integer	-	-	Lowest price in whole dollars.
Maximum price (maxPrice)	integer	-	-	Highest price in whole dollars.
Sort by (sortBy)	string	-	best_match	best_match, added_desc, price_asc, price_desc, like_count or price_drop.
Proxy configuration (proxyConfiguration)	object	-	Apify Proxy on	Proxy settings.

Supported URL types:

• Search: https://poshmark.com/search?query=nike+hoodie&type=listings
• Sold search: https://poshmark.com/search?query=nike+hoodie&type=listings&availability=sold_out
• Brand: https://poshmark.com/brand/Nike
• Category: https://poshmark.com/category/Women-Tops
• Seller closet: https://poshmark.com/closet/prettyflowers1
• Single listing: https://poshmark.com/listing/Nike-Green-Crewneck-Sweatshirt-6ae4ecfa5551aad6a9fefbd1

📦 Poshmark scraper output data

Each listing is one flat JSON row with the same keys every time (null where Poshmark has no value): id, url, title, description, brand, department, category, subcategory, size, colors, condition, isNewWithTags, listingType, styleTags, price, currency, originalPrice, discountPercent, firstPrice, priceDropPercent, shippingDiscount, status, soldAt, statusChangedAt, quantityAvailable, createdAt, updatedAt, firstPublishedAt, likesCount, commentsCount, sharesCount, coverImage, images, videoUrl, sellerUsername, sellerName, sellerId, sellerUrl, sellerPicture, shipping, comments, likers, sellerFollowers, sellerFollowing, sellerListings, sellerItemsSold, sellerOrdersShipped, sellerFiveStarRatings, sellerLocation, sellerMemberSince, sellerLastActive, sellerOnVacation, sourceUrl, changeType, previousPrice, previousStatus, scrapedAt.

The dataset has 4 views. Listings shows the main listing fields with the cover image. Sold listings focuses on sold items and their sold date. Sellers shows the seller profile fields. Changes since last run shows what is new or changed when a cache project name is used.

Output at a glance:

Listing	Brand	Size	Price	Orig. price	Status	Sold at	Likes
Lululemon Wunder Groove Pant *Full-On Luon	lululemon athletica	Various	$78	$98	sold	2019-04-02	502
Lululemon align pant 28	lululemon athletica	Various	$75	$98	sold	2026-08-25	454
Lululemon align tank	lululemon athletica	6	$65	$65	sold	2022-01-02	312
Lululemon Key to Balance Tank - Camo	lululemon athletica	8	$68	-	sold	2022-09-12	304
Lululemon Align 6” Black	lululemon athletica	Various	$64	-	sold	2025-07-09	301

Sample output (raw JSON):

[
  {
    "id": "6396bcd3308f07c3cc980cd3",
    "url": "https://poshmark.com/listing/Lululemon-Align-6-Black-6396bcd3308f07c3cc980cd3",
    "title": "Lululemon Align 6” Black",
    "description": "Black",
    "brand": "lululemon athletica",
    "department": "Women",
    "category": "Shorts",
    "subcategory": null,
    "size": "Various",
    "colors": [
      "Black"
    ],
    "condition": "New With Tags",
    "isNewWithTags": true,
    "listingType": "multi_item",
    "styleTags": [
      "Activewear",
      "Yoga",
      "Biker Short"
    ],
    "price": 64,
    "currency": "USD",
    "originalPrice": null,
    "discountPercent": null,
    "firstPrice": null,
    "priceDropPercent": null,
    "shippingDiscount": null,
    "status": "sold",
    "soldAt": "2025-07-09T21:27:35.000Z",
    "statusChangedAt": "2025-07-09T21:27:35.000Z",
    "quantityAvailable": 0,
    "createdAt": "2022-12-12T05:32:03.000Z",
    "updatedAt": "2026-08-03T04:22:33.000Z",
    "firstPublishedAt": "2022-12-12T05:35:11.000Z",
    "likesCount": 301,
    "commentsCount": 19,
    "sharesCount": 165,
    "coverImage": "https://di2ponv0v5otw.cloudfront.net/posts/2022/12/11/6396bcd3308f07c3cc980cd3/l_64e191f4ffb5d0d233ba6a1f.jpg",
    "images": [
      "https://di2ponv0v5otw.cloudfront.net/posts/2022/12/11/6396bcd3308f07c3cc980cd3/l_6396bce1bd66cdf0544333f9.jpg",
      "https://di2ponv0v5otw.cloudfront.net/posts/2022/12/11/6396bcd3308f07c3cc980cd3/l_6396bcf6308f071879980d7b.jpg"
    ],
    "videoUrl": null,
    "sellerUsername": "visi0123",
    "sellerName": "Visi. Closet🌸",
    "sellerId": "60f4d94e6afdc3e012129e21",
    "sellerUrl": "https://poshmark.com/closet/visi0123",
    "sellerPicture": "https://di2ponv0v5otw.cloudfront.net/users/2023/01/21/19/t_63ccb385ce9ec588b8725bed.jpg",
    "shipping": "$6.49 Shipping",
    "comments": [
      {
        "id": "63aa40bc955a4bf09db13ae5",
        "username": "emilyja07",
        "name": "Emily Anthony",
        "text": "are these high rise",
        "createdAt": "2022-12-27T00:47:56.000Z"
      },
      {
        "id": "63aa54a02938f8dac765e8e5",
        "username": "visi0123",
        "name": "Visi. Closet🌸",
        "text": "@emilyja07 yes",
        "createdAt": "2022-12-27T02:12:48.000Z"
      }
    ],
    "likers": [
      {
        "username": "cielo_carretero",
        "name": "Cielo Carretero",
        "likedAt": "2022-12-12T06:43:17.000Z"
      },
      {
        "username": "meganauk",
        "name": "Megan Auk",
        "likedAt": "2022-12-12T08:15:07.000Z"
      }
    ],
    "sellerFollowers": 44087,
    "sellerFollowing": 25126,
    "sellerListings": 1902,
    "sellerItemsSold": "1300+",
    "sellerOrdersShipped": 1221,
    "sellerFiveStarRatings": 102,
    "sellerLocation": null,
    "sellerMemberSince": "2021-07-19T01:45:50.000Z",
    "sellerLastActive": "2026-11-01T07:00:00.000Z",
    "sellerOnVacation": false,
    "sourceUrl": "https://poshmark.com/search?query=lululemon+align&type=listings&sort_by=like_count&availability=sold_out",
    "changeType": null,
    "previousPrice": null,
    "previousStatus": null,
    "scrapedAt": "2026-11-02T17:57:50.327Z"
  },
  {
    "id": "613e6646c936afb888e6e90e",
    "url": "https://poshmark.com/listing/Lululemon-Key-to-Balance-Tank-Camo-613e6646c936afb888e6e90e",
    "title": "Lululemon Key to Balance Tank - Camo",
    "description": "NWT Lululemon Key to Balance Tank in Heritage 365 Camo Deep Coal Multi (black and gray csmo). Through every bend and stretch, find the balance you seek and the coverage you need in this high-neck tank",
    "brand": "lululemon athletica",
    "department": "Women",
    "category": "Tops",
    "subcategory": "Tank Tops",
    "size": "8",
    "colors": [
      "Black",
      "Gray"
    ],
    "condition": "New With Tags",
    "isNewWithTags": true,
    "listingType": "multi_item",
    "styleTags": [
      "Athleisure",
      "Camo"
    ],
    "price": 68,
    "currency": "USD",
    "originalPrice": null,
    "discountPercent": null,
    "firstPrice": null,
    "priceDropPercent": null,
    "shippingDiscount": null,
    "status": "sold",
    "soldAt": "2022-09-12T14:27:33.000Z",
    "statusChangedAt": "2022-09-12T14:27:33.000Z",
    "quantityAvailable": 0,
    "createdAt": "2021-09-12T20:42:46.000Z",
    "updatedAt": "2026-07-06T17:00:21.000Z",
    "firstPublishedAt": "2021-09-12T20:44:37.000Z",
    "likesCount": 304,
    "commentsCount": 5,
    "sharesCount": 204,
    "coverImage": "https://di2ponv0v5otw.cloudfront.net/posts/2021/09/12/613e6646c936afb888e6e90e/l_613e66701801368b4bb7fb69.jpg",
    "images": [
      "https://di2ponv0v5otw.cloudfront.net/posts/2021/09/12/613e6646c936afb888e6e90e/l_613e666fc32ee6bf691fd852.jpg",
      "https://di2ponv0v5otw.cloudfront.net/posts/2021/09/12/613e6646c936afb888e6e90e/l_613e6671c693bdeca1a72c3a.jpg"
    ],
    "videoUrl": null,
    "sellerUsername": "rereese",
    "sellerName": "Rebecca Y",
    "sellerId": "5a8273dd00301c50d1403a51",
    "sellerUrl": "https://poshmark.com/closet/rereese",
    "sellerPicture": "https://di2ponv0v5otw.cloudfront.net/users/2018/02/12/5a8273dd00301c50d1403a51/t_5a8273dd00301c50d1403a6f.jpg",
    "shipping": "$6.49 Shipping",
    "comments": [
      {
        "id": "6240d7176ab2f4aad2857f05",
        "username": "kowca1987",
        "name": "Karolina Owca",
        "text": "I saw you had another one in a bigger size can you measure this one for me across the bust?",
        "createdAt": "2022-03-27T21:28:55.000Z"
      },
      {
        "id": "6240d98d8a92fb99acc1b446",
        "username": "rereese",
        "name": "Rebecca Y",
        "text": "@kowca1987 yes, the size 8 is approximately 15.75 inches across at the bust. The Nulu fabric is the same fabric that align tights are made of and does have a good amount of stretch to it",
        "createdAt": "2022-03-27T21:39:25.000Z"
      }
    ],
    "likers": [
      {
        "username": "clothedncourage",
        "name": "Mackenzie Kern",
        "likedAt": "2021-09-13T03:30:22.000Z"
      },
      {
        "username": "charlie_9",
        "name": "Kelcie Sackett",
        "likedAt": "2021-09-13T14:41:04.000Z"
      }
    ],
    "sellerFollowers": 132987,
    "sellerFollowing": 309,
    "sellerListings": 14386,
    "sellerItemsSold": "9600+",
    "sellerOrdersShipped": 8240,
    "sellerFiveStarRatings": 1117,
    "sellerLocation": null,
    "sellerMemberSince": "2018-02-13T05:13:01.000Z",
    "sellerLastActive": "2026-11-01T07:00:00.000Z",
    "sellerOnVacation": false,
    "sourceUrl": "https://poshmark.com/search?query=lululemon+align&type=listings&sort_by=like_count&availability=sold_out",
    "changeType": null,
    "previousPrice": null,
    "previousStatus": null,
    "scrapedAt": "2026-11-02T17:57:50.327Z"
  }
]

🔁 Scrape only new Poshmark listings with the cache

Type the same Cache project name on every scheduled run and the scraper remembers every listing it has saved under that name. Listings already saved with the same price and status are skipped, are not charged and are not counted towards Max items. New listings get changeType: "new"; a listing whose price or status changed (for example it was sold) gets changeType: "updated" with the old price in previousPrice and the old status in previousStatus. Each cache name is a separate cache, so you can track several searches independently. Sort by newest first and a run stops after the first page that has nothing new. Tip: put the actor on an Apify Schedule (for example daily) with the same input and cache name.

🐍 How to scrape Poshmark with Python, JavaScript or the API

Run the actor programmatically with the official Apify clients. Replace <YOUR_API_TOKEN> with the token from your Apify Console.

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("confidential_gnat/poshmark-listings-scraper").call(run_input={
    "searchQueries": ["lululemon leggings"],
    "availability": "sold_out",
    "maxItems": 20,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('confidential_gnat/poshmark-listings-scraper').call({
    searchQueries: ['lululemon leggings'],
    availability: 'sold_out',
    maxItems: 20,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL - start a run and wait for the dataset:

curl -X POST "https://api.apify.com/v2/acts/confidential_gnat~poshmark-listings-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries": ["lululemon leggings"], "availability": "sold_out", "maxItems": 20}'

💡 What you can use Poshmark listing data for

• Resale price research: see what items really sold for, and how fast.
• Price monitoring of brands, styles and competing sellers.
• Sourcing and arbitrage: find underpriced listings and price drops.
• Trend and demand analysis from likes, comments and shares.
• Seller research: closet size, items sold, ratings and activity.

Resellers, fashion brands, market analysts and data teams in e-commerce and secondhand fashion typically use this data.

⚠️ Limitations of the Poshmark scraper

• Login-required pages - the actor cannot access content behind a login, such as private messages or your own account.
• Search depth - Poshmark shows about 5,000 listings for one search; bigger asks are split by department, price and color, which takes more requests.
• Likers - the list of people who liked an item is the part Poshmark shows publicly, not always every liker.
• Missing values - sellers do not fill in every field (original price, condition), so those come back as null.

❓ Poshmark scraper FAQ

Can I scrape Poshmark legally?

The actor only collects data that is already publicly visible on Poshmark, with no login, paywall or private content. Scraping publicly available data is generally considered lawful (see hiQ Labs v. LinkedIn), but you are responsible for complying with Poshmark's Terms of Service and applicable laws such as GDPR and CCPA if personal data is involved.

What data does the Poshmark scraper return?

Title, brand, size, colors, condition, price, original price, discount, status, sold date, photos, likes, comments count, shares and seller details. Switch on full details to add shipping cost, the comments themselves, likers and the seller profile.

How many listings can I scrape from one search or closet?

maxItems applies to each start URL, keyword or seller separately. Poshmark shows about 5,000 listings for one search, closet or category, and above that the actor splits the search automatically.

Do I need a proxy to scrape poshmark.com?

Datacenter Apify Proxy is switched on by default and is enough. You can turn it off or choose your own proxies in the proxy field.

How do I scrape Poshmark with Python?

Use the Python example above and iterate over the dataset items returned by the run.

Can I run this Poshmark scraper on a schedule?

Yes, use Apify Schedules. Add a cache project name and each scheduled run saves only new or changed listings, which are not charged again.

How do I get sold listings from Poshmark?

Set Listing status to Sold, or paste a search link that has availability=sold_out. Sold rows have status: "sold" and the sold date in soldAt.

What output formats are supported?

JSON, CSV, Excel, XML and RSS, either from the Output tab or through the Apify API.

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💬 Support & contact

If you encounter any issues or have questions, please open an issue.

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