# Poshmark Listings Scraper (`xtracto/poshmark-listings`) Actor Scrape Poshmark listings from any category, search, or closet URL. Each item includes title, price, brand, color, size, images and a link. Optional full detail per listing. No login required. - **URL**: https://apify.com/xtracto/poshmark-listings.md - **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.90 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Listings Scraper Scrape Poshmark listings from any category, search, or closet. One result = one listing. ### Why use this actor - No account, no login, and no API key required - Works for category pages, keyword searches, and individual closets - Title, price, brand, color, size, images and a link for every item - Optional full detail per listing (brand, color, full description, all photos) - Stable JSON output suitable for pipelines, resale analytics, or inventory tracking ### How it works 1. Pick what you want on Poshmark — a category, a search, or a seller's closet — and copy the URL. 2. Paste one or more URLs into the actor (optionally turn on full detail). 3. Results stream into your dataset, ready to download as JSON, CSV, or Excel. You don't manage scrapers, browsers, or retries — the actor handles all of that. ### Input ```json { "searchUrls": [ "https://poshmark.com/category/Women-Bags?sort_by=added_desc" ], "fetchDetail": true, "maxListingsPerSearch": 100, "maxPages": 10, "concurrency": 4, "proxyConfiguration": { "useApifyProxy": true } } ```` | Field | Type | Description | |---|---|---| | `searchUrls` | array | Poshmark category / search / closet URLs. | | `fetchDetail` | boolean | Add brand, color, full description and all images per listing. Default true. | | `maxListingsPerSearch` | integer | Cap per URL. `0` = no cap. Default 100. | | `maxPages` | integer | Page cap per URL (~48 listings/page). Default 10. | | `concurrency` | integer | Parallel detail fetches. Default 4. | | `searchConcurrency` | integer | Parallel input URLs. Default 2. | | `proxyConfiguration` | object | Optional — Poshmark works without a proxy. | ### Output With `fetchDetail: true`: ```json { "_input": "https://poshmark.com/category/Women-Bags?sort_by=added_desc", "_source": "S2-detail", "_scrapedAt": "2026-06-11T10:05:00Z", "recordType": "LISTING", "listingId": "6a2ab089fe4c68f582f3a9e1", "page": 1, "url": "https://poshmark.com/listing/Coach-Large-Legacy-Beach-Canvas-...-6a2ab089fe4c68f582f3a9e1", "image": "https://di2ponv0v5otw.cloudfront.net/posts/2026/06/11/.../m_....jpg", "title": "Coach Large Legacy Beach Canvas Leather Wristlet", "name": "Coach Large Legacy Beach Canvas Leather Wristlet", "brand": "Coach", "color": "Tan", "category": "Bags > Clutches & Wristlets", "description": "Coach Large Legacy Beach Canvas ... (truncated)", "sku": "6a2ab089fe4c68f582f3a9e1", "price": 70, "detailPrice": 70.0, "priceCurrency": "USD", "availability": "https://schema.org/InStock", "images": ["https://di2ponv0v5otw.cloudfront.net/.../1.jpg", "... 3 more"] } ``` | Field | Type | Description | |---|---|---| | `listingId` | string | Poshmark listing ID. | | `title` / `name` | string | Listing title. | | `brand` | string | Brand (detail mode). | | `color` | string | Color (detail mode). | | `category` | string | Poshmark category path (detail mode). | | `description` | string | Full description (detail mode). | | `price` | number | Price from the search tile. | | `detailPrice` / `priceCurrency` | number / string | Price from the listing's structured data. | | `image` | string | Cover photo. | | `images` | array | All photos (detail mode). | | `url` | string | Listing URL. | A listing/URL that can't be parsed returns an `_error` record instead of being dropped. ### Notes - With `fetchDetail` off, the actor is much faster but returns only the search-tile fields (title, price, image, URL, listingId). - Prices and availability are point-in-time and change frequently. # Actor input Schema ## `searchUrls` (type: `array`): Poshmark category, search, or closet URLs. Examples: https://poshmark.com/category/Women-Bags?sort\_by=added\_desc , https://poshmark.com/search?query=nike , https://poshmark.com/closet/{username} ## `fetchDetail` (type: `boolean`): If on, opens each listing to add brand, color, full description and all images (from the listing's structured data). Slower (one request per listing). Default on. ## `maxListingsPerSearch` (type: `integer`): Stop after this many listings per URL. 0 = no cap (pages until listings stop). ## `maxPages` (type: `integer`): Safety cap on result pages walked per URL (each page ~48 listings). ## `concurrency` (type: `integer`): Parallel detail-page fetches per search (when 'Fetch full detail' is on). ## `searchConcurrency` (type: `integer`): How many input URLs to process in parallel. ## `proxyConfiguration` (type: `object`): Proxy settings. Poshmark works without a proxy; any group is fine for larger runs. ## Actor input object example ```json { "searchUrls": [ "https://poshmark.com/category/Women-Bags?sort_by=added_desc" ], "fetchDetail": true, "maxListingsPerSearch": 100, "maxPages": 10, "concurrency": 4, "searchConcurrency": 2, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "searchUrls": [ "https://poshmark.com/category/Women-Bags?sort_by=added_desc" ] }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/poshmark-listings").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 = { "searchUrls": ["https://poshmark.com/category/Women-Bags?sort_by=added_desc"] } # Run the Actor and wait for it to finish run = client.actor("xtracto/poshmark-listings").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 '{ "searchUrls": [ "https://poshmark.com/category/Women-Bags?sort_by=added_desc" ] }' | apify call xtracto/poshmark-listings --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/poshmark-listings", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Poshmark Listings Scraper", "description": "Scrape Poshmark listings from any category, search, or closet URL. Each item includes title, price, brand, color, size, images and a link. Optional full detail per listing. No login required.", "version": "0.1", "x-build-id": "rVasTjJRfc1el2Jsj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~poshmark-listings/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-poshmark-listings", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~poshmark-listings/runs": { "post": { "operationId": "runs-sync-xtracto-poshmark-listings", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~poshmark-listings/run-sync": { "post": { "operationId": "run-sync-xtracto-poshmark-listings", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchUrls" ], "properties": { "searchUrls": { "title": "Poshmark URLs", "type": "array", "description": "Poshmark category, search, or closet URLs. Examples: https://poshmark.com/category/Women-Bags?sort_by=added_desc , https://poshmark.com/search?query=nike , https://poshmark.com/closet/{username}", "items": { "type": "string" } }, "fetchDetail": { "title": "Fetch full detail per listing", "type": "boolean", "description": "If on, opens each listing to add brand, color, full description and all images (from the listing's structured data). Slower (one request per listing). Default on.", "default": true }, "maxListingsPerSearch": { "title": "Max listings per URL", "minimum": 0, "type": "integer", "description": "Stop after this many listings per URL. 0 = no cap (pages until listings stop).", "default": 100 }, "maxPages": { "title": "Max pages per URL", "minimum": 1, "maximum": 200, "type": "integer", "description": "Safety cap on result pages walked per URL (each page ~48 listings).", "default": 10 }, "concurrency": { "title": "Detail concurrency", "minimum": 1, "maximum": 12, "type": "integer", "description": "Parallel detail-page fetches per search (when 'Fetch full detail' is on).", "default": 4 }, "searchConcurrency": { "title": "Concurrent URLs", "minimum": 1, "maximum": 6, "type": "integer", "description": "How many input URLs to process in parallel.", "default": 2 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Poshmark works without a proxy; any group is fine for larger runs.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```