# Poshmark Scraper (`h4sh/poshmark-scraper`) Actor Scrape Poshmark for fashion listings with prices, brands, sizes, seller info and more. Perfect for resale analytics and market research. - **URL**: https://apify.com/h4sh/poshmark-scraper.md - **Developed by:** [Dominique](https://apify.com/h4sh) (community) - **Categories:** E-commerce - **Stats:** 7 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Poshmark Scraper 🛍️ **The first professional-grade Poshmark scraper on Apify — $10 per 1,000 results with stealth anti-block technology.** Extract listings, prices, brands, sizes, seller data, and engagement metrics from any Poshmark category, brand page, or seller closet. Built to handle Poshmark's aggressive 403 blocks that break free scrapers. --- ### 🏆 Why This Scraper? | Feature | This Actor | Free Alternatives (5 on Apify) | |---------|-----------|-------------------------------| | **Reliability** | ✅ Camoufox stealth — bypasses 403 blocks | ❌ Break constantly, no anti-bot | | **Data quality** | **20+ structured fields** per listing | Incomplete or inconsistent | | **Maintenance** | ✅ Actively maintained & supported | ❌ Abandoned / no updates | | **Multi-strategy** | ✅ JSON state + DOM + API fallbacks | Single method (fragile) | | **Pagination** | ✅ 48 listings/page, unlimited depth | Limited or broken | | **Input flexibility** | ✅ Categories, brands, closets, URLs | Usually one mode only | | **Price** | **$10 / 1,000 results** | Free (but broken) | > 💡 All 5 existing Poshmark scrapers are free hobby projects. **This is the first professional actor** — reliable, maintained, and worth every penny. --- ### ✨ Key Features - 🛡️ **Anti-block technology** — Camoufox stealth browser defeats Poshmark's 403 protections - 🏷️ **Category scraping** — Women, Men, Kids, Home, and all subcategories - 👗 **Brand scraping** — Nike, Coach, Lululemon, or any brand page - 👤 **Closet scraping** — scrape any seller's entire closet by username - 📊 **20+ data fields** — prices, discounts, sizes, conditions, engagement, images - 🔄 **Auto-pagination** — 48 listings per page, follows pagination automatically - 📈 **Sort options** — by newest, price (low/high), or popularity - 📦 **Clean JSON** — normalized output ready for analysis or import --- ### 📥 Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `categoryUrl` | string | — | Poshmark category URL | | `brandUrl` | string | — | Brand page URL (e.g., `poshmark.com/brand/Nike`) | | `closetUrl` | string | — | Seller closet URL (e.g., `poshmark.com/closet/username`) | | `startUrls` | array | — | Multiple Poshmark URLs in one run | | `searchQuery` | string | — | Search term (auto-converts to brand lookup) | | `maxListings` | integer | `100` | Max total listings to collect | | `maxPages` | integer | `5` | Max pages per URL (48 listings/page) | | `sortBy` | enum | `added_desc` | `added_desc`, `price_asc`, `price_desc`, `like_count_desc` | --- ### 📤 Sample Output ```json { "title": "Nike Air Max 90 Sneakers", "price": 45.00, "originalPrice": 120.00, "discount": 63, "size": "9", "brand": "Nike", "category": "Women > Shoes > Sneakers", "condition": "NWT", "imageUrl": "https://di2ponv0v5otw.cloudfront.net/posts/...", "listingUrl": "https://poshmark.com/listing/Nike-Air-Max-90-...", "sellerUsername": "sneakerlover23", "likes": 15, "comments": 3, "scrapedAt": "2026-03-28T15:45:00+00:00" } ```` > Each listing includes 20+ fields: pricing, discount %, condition, colors, all images, engagement metrics, style tags, and timestamps. *** ### 💡 Use Cases - 📈 **Market research** — track pricing trends across categories and brands - 🏷️ **Competitive analysis** — monitor competitor pricing and inventory - 💰 **Reselling automation** — find underpriced items for resale opportunities - 👗 **Brand monitoring** — track secondary market pricing for your products - 📉 **Price tracking** — monitor price drops and discount patterns over time - 🔬 **Academic research** — study fashion resale market dynamics *** ### 💲 Pricing - **$10.00 per 1,000 results** — live PPE price verified via Apify API on 2026-06-11 - Platform usage costs are billed separately by Apify. - Residential proxies are recommended for defended Poshmark pages; direct/datacenter runs may be blocked. - Actor start charge is configured separately from per-result pricing. | Volume | Cost | Per Listing | |--------|------|-------------| | 100 listings | $1.00 | $0.010 | | 1,000 listings | $10.00 | $0.010 | | 10,000 listings | $100.00 | $0.010 | ### ⚠️ Empty Results & Diagnostics If a run extracts **zero listings**, the actor now fails intentionally instead of returning a silent empty-success dataset. This protects buyers from paying for empty runs and surfaces real Store health signals. Check the run log for likely causes such as Poshmark anti-bot/403 responses, empty or unsupported URLs, proxy country/group issues, or selector/API drift. *** ### 🔗 Related Actors - [GoodRx Drug Price Scraper](https://apify.com/h4sh/goodrx-drug-price-scraper) — prescription drug prices from 6,600+ medications - [Anti-Bot Bypass Service](https://apify.com/h4sh/anti-bot-bypass) — bypass Cloudflare, PerimeterX & DataDome on any site # Actor input Schema ## `searchQuery` (type: `string`): Search term to find listings (e.g., 'nike shoes', 'vintage dress'). Note: Poshmark blocks /search URLs, so this is converted to a brand or category lookup. ## `categoryUrl` (type: `string`): Full Poshmark category URL to scrape (e.g., 'https://poshmark.com/category/Women-Bags'). ## `brandUrl` (type: `string`): Full Poshmark brand URL to scrape (e.g., 'https://poshmark.com/brand/Nike'). ## `closetUrl` (type: `string`): Full Poshmark seller closet URL (e.g., 'https://poshmark.com/closet/username'). ## `startUrls` (type: `array`): Direct Poshmark URLs to scrape (category, brand, closet, or individual listing URLs). ## `maxListings` (type: `integer`): Maximum number of listings to scrape across all URLs. ## `maxPages` (type: `integer`): Maximum number of pages to paginate per URL (each page has up to 48 listings). ## `sortBy` (type: `string`): Sort order for listings. ## `proxyConfiguration` (type: `object`): Proxy configuration. Residential proxies recommended for best results with Poshmark's bot protection. ## Actor input object example ```json { "startUrls": [], "maxListings": 100, "maxPages": 5, "sortBy": "added_desc", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `listings` (type: `string`): Scraped Poshmark listings in the default dataset. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQuery": "", "categoryUrl": "", "brandUrl": "", "closetUrl": "", "startUrls": [], "maxListings": 100, "maxPages": 5, "sortBy": "added_desc", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("h4sh/poshmark-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQuery": "", "categoryUrl": "", "brandUrl": "", "closetUrl": "", "startUrls": [], "maxListings": 100, "maxPages": 5, "sortBy": "added_desc", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("h4sh/poshmark-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQuery": "", "categoryUrl": "", "brandUrl": "", "closetUrl": "", "startUrls": [], "maxListings": 100, "maxPages": 5, "sortBy": "added_desc", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call h4sh/poshmark-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=h4sh/poshmark-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Poshmark Scraper", "description": "Scrape Poshmark for fashion listings with prices, brands, sizes, seller info and more. Perfect for resale analytics and market research.", "version": "0.3", "x-build-id": "CtAoCmpnnOgjuunTh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/h4sh~poshmark-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-h4sh-poshmark-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/h4sh~poshmark-scraper/runs": { "post": { "operationId": "runs-sync-h4sh-poshmark-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/h4sh~poshmark-scraper/run-sync": { "post": { "operationId": "run-sync-h4sh-poshmark-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term to find listings (e.g., 'nike shoes', 'vintage dress'). Note: Poshmark blocks /search URLs, so this is converted to a brand or category lookup." }, "categoryUrl": { "title": "Category URL", "type": "string", "description": "Full Poshmark category URL to scrape (e.g., 'https://poshmark.com/category/Women-Bags')." }, "brandUrl": { "title": "Brand URL", "type": "string", "description": "Full Poshmark brand URL to scrape (e.g., 'https://poshmark.com/brand/Nike')." }, "closetUrl": { "title": "Closet URL", "type": "string", "description": "Full Poshmark seller closet URL (e.g., 'https://poshmark.com/closet/username')." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct Poshmark URLs to scrape (category, brand, closet, or individual listing URLs).", "items": { "type": "string" } }, "maxListings": { "title": "Max Listings", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of listings to scrape across all URLs.", "default": 10 }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of pages to paginate per URL (each page has up to 48 listings).", "default": 5 }, "sortBy": { "title": "Sort By", "enum": [ "added_desc", "price_asc", "price_desc", "like_count_desc" ], "type": "string", "description": "Sort order for listings.", "default": "added_desc" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy configuration. Residential proxies recommended for best results with Poshmark's bot protection.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```