# Poshmark Scraper - Listings, Prices & Resale Data (US) (`quine/poshmark-scraper`) Actor Scrape Poshmark listings and prices: the US resale-fashion marketplace. Search by keyword, brand, size, condition. Structured JSON. Runs with defaults, MCP-ready. - **URL**: https://apify.com/quine/poshmark-scraper.md - **Developed by:** [Quine Quine](https://apify.com/quine) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.75 / 1,000 listing-scrapeds 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 Scraper: Listings, Prices & Resale Data (US) Scrape **Poshmark listings and prices** from the US social resale-fashion marketplace in one run. Built for resellers, price comparison, and market research: fast, reliable, and returned as clean structured JSON. Runs with defaults and works as an **MCP tool** for AI agents. ### What it does Give it a search term (or leave it empty for the newest listings) and optional filters. It returns every Poshmark listing as a structured record you can build on: - **Resale price research** - compare list prices, markdowns, and brand or size trends - Search by keyword or pull the newest listings - Filter by department, brand, size, category, condition, and price - **Buyer-demand signal** - `favouriteCount` (likes) approximates real demand per listing - **Stable JSON schema** - safe to depend on in code and pipelines - **Runs with defaults, MCP-ready** - no config needed; AI agents can call it as a tool ### Input | Field | Type | Default | Description | |---|---|---|---| | `query` | string | `""` | Search term. Empty = newest listings. | | `countries` | array | `["us"]` | Poshmark.com is US only, so results are always US / USD. | | `maxItems` | integer | `100` | Max listings returned. | | `filters` | object | `{}` | Optional filters: `department`, `brand`, `size`, `category`, `condition`, `price_min`, `price_max`. | | `proxyConfiguration` | object | US residential | Routes through a US residential proxy. Poshmark has no active anti-bot, but a US IP is the safest choice. | **Example input** ```json { "query": "nike", "maxItems": 100, "filters": { "department": "Women" } } ```` ### Output Each item is one dataset record: ```json { "id": "....", "url": "https://poshmark.com/listing/Nike-crop-top-....", "title": "Nike crop top", "price": { "amount": 25.0, "currency": "USD" }, "originalPrice": { "amount": 48.0, "currency": "USD" }, "brand": "Nike", "size": "M", "condition": "Used - Good", "category": "Tops", "colors": ["Green", "Blue"], "country": "us", "images": ["https://di2ponv0v5otw.cloudfront.net/....jpg"], "listedAt": "2026-07-03T11:01:55-07:00", "favouriteCount": 3, "description": "Experience the perfect blend of style and comfort ...", "scrapedAt": "2026-07-10T12:00:00+00:00" } ``` Optional fields (`originalPrice`, `colors`, `condition`, `favouriteCount`, `description`) appear only when present on the listing. - `originalPrice` is the seller's own prior list price and shows only on genuinely marked-down items, not retail MSRP. - `favouriteCount` is the number of likes, a useful proxy for buyer demand. - `colors` is present on roughly 85% of items. - `condition` can be absent on legacy listings. ### Use cases - **Reseller sourcing & pricing** - see what comparable items list for and how fast they get liked - **Markdown tracking** - watch `originalPrice` against `price` to spot genuine price drops - **Market research** - supply, pricing, and brand trends on a leading US C2C fashion marketplace - **AI agents** - a reliable data tool an agent can call to answer "what does X sell for on Poshmark?" ### Pricing **Pay per result**: you are charged per listing returned, so you only pay for data you actually get. See the exact per-event price on this Actor's page. ### Fair use & privacy Reads **public listings only**: no login and no third-party account cookies. Personal seller profiles are **not** collected: the output contains listing data, not people. # Actor input Schema ## `query` (type: `string`): What to search for. For most marketplaces this is a keyword; for the real-estate scraper it is a location slug (e.g. madrid-madrid). Leave empty to get the newest listings. See the README. ## `countries` (type: `array`): Marketplace region(s). Single-region sites ignore this and always return their home market; multi-region sites use it to pick the locale/currency. See the README for what this target supports. ## `maxItems` (type: `integer`): Hard cap on the number of listings returned. ## `filters` (type: `object`): Optional marketplace-specific filters (e.g. price range, category, condition, sort). See this actor's README for the supported keys. ## `proxyConfiguration` (type: `object`): Residential proxy is recommended, and REQUIRED for the anti-bot-protected marketplaces (DataDome / Cloudflare block datacenter IPs). Use Apify Residential (paid plans) or plug in your own residential proxy URLs. ## Actor input object example ```json { "query": "", "countries": [ "fr" ], "maxItems": 100, "filters": {}, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `listings` (type: `string`): All scraped listings as structured records (price, category, condition, location, images, URL and more, depending on the marketplace). # 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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("quine/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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("quine/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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call quine/poshmark-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=quine/poshmark-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Poshmark Scraper - Listings, Prices & Resale Data (US)", "description": "Scrape Poshmark listings and prices: the US resale-fashion marketplace. Search by keyword, brand, size, condition. Structured JSON. Runs with defaults, MCP-ready.", "version": "0.0", "x-build-id": "qFcI4HEm4O61E4P9W" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/quine~poshmark-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-quine-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/quine~poshmark-scraper/runs": { "post": { "operationId": "runs-sync-quine-poshmark-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/quine~poshmark-scraper/run-sync": { "post": { "operationId": "run-sync-quine-poshmark-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search query", "type": "string", "description": "What to search for. For most marketplaces this is a keyword; for the real-estate scraper it is a location slug (e.g. madrid-madrid). Leave empty to get the newest listings. See the README.", "default": "" }, "countries": { "title": "Countries / regions", "type": "array", "description": "Marketplace region(s). Single-region sites ignore this and always return their home market; multi-region sites use it to pick the locale/currency. See the README for what this target supports.", "default": [ "fr" ], "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Hard cap on the number of listings returned.", "default": 100 }, "filters": { "title": "Filters", "type": "object", "description": "Optional marketplace-specific filters (e.g. price range, category, condition, sort). See this actor's README for the supported keys.", "default": {} }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxy is recommended, and REQUIRED for the anti-bot-protected marketplaces (DataDome / Cloudflare block datacenter IPs). Use Apify Residential (paid plans) or plug in your own residential proxy URLs.", "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 } } } } } } } } } } ```