# Reseller Market Scraper (`brilliant_gum/reseller-market-scraper`) Actor Pull active and sold listings from Poshmark, Vinted, Mercari and Depop in one run. Filter by keyword, brand, size, condition and price range. Built-in fee calculator shows platform commission and net payout per listing. Export to JSON, CSV or Excel. - **URL**: https://apify.com/brilliant\_gum/reseller-market-scraper.md - **Developed by:** [Yuliia Kulakova](https://apify.com/brilliant_gum) (community) - **Categories:** E-commerce, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ![Resale Scraper](https://i.imgur.com/OwrA7oQ.png) ## Reseller Market Scraper — Poshmark · Vinted · Mercari · Depop > **Pull active and sold listings from the 4 biggest resale platforms in a single run.** --- ### What it does Search across **Poshmark, Vinted, Mercari and Depop** simultaneously and get back a clean, structured dataset — ready for price research, market analysis, or reselling decisions. - Compare what items are **listed for** vs. what they actually **sold for** - Filter by keyword, brand, size, condition and price range - Get an instant **fee breakdown and net profit estimate** for every listing - Export to JSON, CSV or Excel in one click --- ### Key features | | | |---|---| | **4 platforms, 1 run** | Poshmark, Vinted, Mercari, Depop | | **Active & sold listings** | Poshmark, Vinted, Mercari: active + sold · Depop: active | | **Powerful filters** | Keyword · Brand · Size · Condition · Price range · Sold within N days | | **Fee calculator** | Platform commission + net seller payout per listing | | **Vinted — 16 countries** | US, UK, DE, FR, NL, BE, ES, IT, PL, CZ, LT, LV, SK, AT, LU, PT | | **Up to 500 results per platform** | Per run, configurable | --- ### Output fields | Field | Description | |---|---| | `platform` | poshmark · vinted · mercari · depop | | `title` | Listing title | | `url` | Direct link to the listing | | `status` | active · sold | | `price` | Asking price (active listings) | | `soldPrice` | Final sale price (sold listings) | | `soldDate` | Date the item sold | | `currency` | USD, GBP, EUR, etc. | | `condition` | new · like_new · good · fair | | `brand` | Brand name | | `size` | Size label | | `category` | Platform category | | `seller` | Seller username | | `sellerRating` | Seller feedback score | | `likesCount` | Number of likes / saves | | `image` | Primary listing image URL | | `platformFee` | Estimated seller commission | | `netProfit` | Estimated payout after platform fee | | `scrapedAt` | Timestamp of scrape | --- ### Example input ```json { "searchQuery": "Nike Air Max 90", "platforms": ["poshmark", "vinted", "mercari", "depop"], "mode": "both", "condition": "good", "minPrice": 40, "maxPrice": 150, "soldWithin": 30, "maxResultsPerPlatform": 100, "includeFeeBreakdown": true } ```` *** ### Filters | Input | Type | Description | |---|---|---| | `searchQuery` | string | Search keyword — required | | `platforms` | array | One or more: poshmark, vinted, mercari, depop | | `mode` | string | `active` · `sold` · `both` | | `condition` | string | `all` · `new` · `like_new` · `good` · `fair` | | `minPrice` | number | Minimum price | | `maxPrice` | number | Maximum price | | `brand` | string | Brand filter (e.g. Nike, Levi's) | | `size` | string | Size filter (e.g. M, 10, 32x32) | | `soldWithin` | number | Sold in last N days (up to 90) | | `vintedCountry` | string | Vinted locale: us, uk, de, fr, … | | `maxResultsPerPlatform` | number | 1–500 | | `includeFeeBreakdown` | boolean | Add platformFee + netProfit fields | *** ### Use cases **Resellers & flippers** — Know exactly what to pay when sourcing and what to price when listing. **Poshmark / Depop sellers** — Benchmark your prices against identical sold comps in real time. **Market researchers** — Export bulk data on fashion, sneakers, vintage, or any category. **Price alert bots** — Schedule regular runs and catch newly-listed deals instantly. *** ### Pricing **$9 per 1,000 results** · ~$0.009 per listing A typical run — 100 results × 4 platforms = 400 listings ≈ **$3.60** # Actor input Schema ## `searchQuery` (type: `string`): Keyword to search across selected platforms (e.g. 'Nike Air Max 90', 'Levi jeans'). ## `platforms` (type: `array`): Select one or more platforms to scrape. ## `mode` (type: `string`): Choose which listings to scrape: active (for sale), sold, or both. Note: Depop supports active listings only. ## `condition` (type: `string`): Filter by item condition. 'all' returns every condition. ## `minPrice` (type: `integer`): Only return listings priced at or above this value. ## `maxPrice` (type: `integer`): Only return listings priced at or below this value. ## `brand` (type: `string`): Optional brand name to narrow results (e.g. 'Nike', 'Zara'). Applied on platforms that support brand filtering. ## `size` (type: `string`): Optional size (e.g. 'M', 'L', '10', '32x32'). Applied on platforms that support size filtering. ## `soldWithin` (type: `integer`): For sold mode: only return items sold within this many days (7, 14, 30, 60, or 90). ## `vintedCountry` (type: `string`): Vinted operates country-specific sites. Select the country to scrape. ## `maxResultsPerPlatform` (type: `integer`): Maximum number of listings to return per platform (1–500). ## `includeFeeBreakdown` (type: `boolean`): When enabled, each result includes platformFee and netProfit fields based on real platform commission rates. ## `useApifyProxy` (type: `boolean`): Route requests through Apify Proxy residential IPs to avoid blocks. ## `proxyCountry` (type: `string`): Two-letter country code for the proxy exit node (e.g. 'US', 'GB', 'DE'). Leave empty for auto. ## Actor input object example ```json { "searchQuery": "Nike Air Max 90", "platforms": [ "poshmark", "vinted", "mercari", "depop" ], "mode": "both", "condition": "all", "soldWithin": 30, "vintedCountry": "us", "maxResultsPerPlatform": 100, "includeFeeBreakdown": true, "useApifyProxy": true, "proxyCountry": "US" } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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": "Nike Air Max 90", "platforms": [ "poshmark", "vinted", "mercari", "depop" ], "mode": "both", "condition": "all", "soldWithin": 30, "vintedCountry": "us", "maxResultsPerPlatform": 100, "proxyCountry": "US" }; // Run the Actor and wait for it to finish const run = await client.actor("brilliant_gum/reseller-market-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": "Nike Air Max 90", "platforms": [ "poshmark", "vinted", "mercari", "depop", ], "mode": "both", "condition": "all", "soldWithin": 30, "vintedCountry": "us", "maxResultsPerPlatform": 100, "proxyCountry": "US", } # Run the Actor and wait for it to finish run = client.actor("brilliant_gum/reseller-market-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": "Nike Air Max 90", "platforms": [ "poshmark", "vinted", "mercari", "depop" ], "mode": "both", "condition": "all", "soldWithin": 30, "vintedCountry": "us", "maxResultsPerPlatform": 100, "proxyCountry": "US" }' | apify call brilliant_gum/reseller-market-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brilliant_gum/reseller-market-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reseller Market Scraper", "description": "Pull active and sold listings from Poshmark, Vinted, Mercari and Depop in one run. Filter by keyword, brand, size, condition and price range. Built-in fee calculator shows platform commission and net payout per listing. Export to JSON, CSV or Excel.", "version": "1.0", "x-build-id": "IAqbfszGnZx9L8tYK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brilliant_gum~reseller-market-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brilliant_gum-reseller-market-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/brilliant_gum~reseller-market-scraper/runs": { "post": { "operationId": "runs-sync-brilliant_gum-reseller-market-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/brilliant_gum~reseller-market-scraper/run-sync": { "post": { "operationId": "run-sync-brilliant_gum-reseller-market-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQuery", "platforms", "mode" ], "properties": { "searchQuery": { "title": "Search query", "type": "string", "description": "Keyword to search across selected platforms (e.g. 'Nike Air Max 90', 'Levi jeans')." }, "platforms": { "title": "Platforms", "uniqueItems": true, "type": "array", "description": "Select one or more platforms to scrape.", "items": { "type": "string", "enum": [ "poshmark", "vinted", "mercari", "depop" ] } }, "mode": { "title": "Listing mode", "enum": [ "active", "sold", "both" ], "type": "string", "description": "Choose which listings to scrape: active (for sale), sold, or both. Note: Depop supports active listings only." }, "condition": { "title": "Condition", "enum": [ "all", "new", "like_new", "good", "fair" ], "type": "string", "description": "Filter by item condition. 'all' returns every condition." }, "minPrice": { "title": "Minimum price (USD)", "minimum": 0, "type": "integer", "description": "Only return listings priced at or above this value." }, "maxPrice": { "title": "Maximum price (USD)", "minimum": 0, "type": "integer", "description": "Only return listings priced at or below this value." }, "brand": { "title": "Brand filter", "type": "string", "description": "Optional brand name to narrow results (e.g. 'Nike', 'Zara'). Applied on platforms that support brand filtering." }, "size": { "title": "Size filter", "type": "string", "description": "Optional size (e.g. 'M', 'L', '10', '32x32'). Applied on platforms that support size filtering." }, "soldWithin": { "title": "Sold within (days)", "minimum": 1, "maximum": 90, "type": "integer", "description": "For sold mode: only return items sold within this many days (7, 14, 30, 60, or 90)." }, "vintedCountry": { "title": "Vinted country", "enum": [ "us", "uk", "de", "fr", "nl", "be", "es", "it", "pl", "cz", "lt", "lv", "sk", "at", "lu", "pt" ], "type": "string", "description": "Vinted operates country-specific sites. Select the country to scrape." }, "maxResultsPerPlatform": { "title": "Max results per platform", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of listings to return per platform (1–500)." }, "includeFeeBreakdown": { "title": "Include fee breakdown", "type": "boolean", "description": "When enabled, each result includes platformFee and netProfit fields based on real platform commission rates.", "default": true }, "useApifyProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Route requests through Apify Proxy residential IPs to avoid blocks.", "default": true }, "proxyCountry": { "title": "Proxy country", "type": "string", "description": "Two-letter country code for the proxy exit node (e.g. 'US', 'GB', 'DE'). Leave empty for auto." } } }, "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 } } } } } } } } } } ```