# Whatnot Marketplace Scraper (`lulzasaur/whatnot-scraper`) Actor Scrape Whatnot live-shopping marketplace listings by search query. Per-listing data: title, description, price, currency, quantity, buy-it-now vs auction, seller username & rating, product image, and listing URL. Covers cards, coins, sneakers, toys and 250+ collectible categories. - **URL**: https://apify.com/lulzasaur/whatnot-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Whatnot Marketplace Scraper Scrape product listings from **[Whatnot](https://www.whatnot.com)** — the live-shopping marketplace for collectibles: trading cards, coins, sneakers, toys, comics, funko pops, and 250+ categories. Search by any keyword or category and get clean, structured listing data. ### What it does Give it one or more search queries and it returns every marketplace listing shown for those terms, with full details: title, price, seller, rating, images, and a direct listing URL. ### Input | Field | Type | Description | |-------|------|-------------| | `searchQueries` | array of strings | **Required.** Search terms or categories, e.g. `["charizard", "pokemon", "graded coins", "jordan 1"]`. Each term is searched separately. | | `maxResults` | integer | Max total records across all queries. `0` = no cap. Default `100`. Each search page yields ~100 listings. | | `scrapeDetails` | boolean | Reserved (search results already carry full details). Default `false`. | | `proxyConfiguration` | object | Proxy settings. Defaults to **Apify RESIDENTIAL proxy** (recommended — Whatnot is behind Cloudflare). | #### Example input ```json { "searchQueries": ["charizard", "graded pokemon"], "maxResults": 150, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output Each dataset item is one listing: ```json { "listingId": "1952885527", "listingNodeId": "TGlzdGluZ05vZGU6MTk1Mjg4NTUyNw==", "title": "Beckett 9.5 Pikachu XY Sword & Shield Japanese Promo #125sp", "subtitle": "", "description": "Beckett 9.5 Pikachu XY Sword & Shield Japanese Promo #125sp", "price": 44.00, "currency": "USD", "priceMinorUnits": 4400, "quantity": 1, "transactionType": "BUY_IT_NOW", "listingStatus": "ACTIVE", "isLive": false, "currentBid": null, "currentBidCount": null, "category": "charizard", "sellerUsername": "poke_ces", "sellerRating": 5, "sellerReviews": 19, "imageUrl": "https://images.whatnot.com/...jpeg", "images": ["https://images.whatnot.com/...jpeg"], "productId": "522837723", "listingUrl": "https://www.whatnot.com/listing/TGlzdGluZ05vZGU6MTk1Mjg4NTUyNw%3D%3D", "scrapedAt": "2026-07-03T07:30:00.000Z" } ``` #### Field notes - **price** — in major currency units (dollars). `priceMinorUnits` is the raw cents value. - **transactionType** — `BUY_IT_NOW` or auction-style; `currentBid` / `currentBidCount` populate for live auctions. - **category** — the search query the listing was found under (useful for category browsing). - **listingId** — stable numeric ID (decoded from the base64 GraphQL node id). ### Use cases - **Resale arbitrage** — compare Whatnot buy-it-now prices against eBay/TCGPlayer/PriceCharting comps. - **Collectibles market research** — track pricing across cards, coins, sneakers, and toys. - **Seller & inventory monitoring** — watch what sells and at what price. - **Feed price alerts, dashboards, and Discord bots** with structured JSON. ### How it works Whatnot is a Next.js React app fronted by a Cloudflare challenge. This actor uses browser-grade TLS fingerprinting and header generation to pass the challenge, then extracts the server-rendered listing data (React Server Components payload) directly from the search page — no login required. Use the default **RESIDENTIAL** proxy for the most reliable results. ### Notes & limits - Results reflect what Whatnot returns for each search query (typically ~100 listings per query). Add more queries to increase volume. - Pricing and availability are live and change frequently — each record includes `scrapedAt`. - This is an unofficial scraper and is not affiliated with Whatnot. # Actor input Schema ## `searchQueries` (type: `array`): One or more search terms or categories to scrape on Whatnot, e.g. 'charizard', 'pokemon', 'graded coins', 'jordan 1', 'funko pop'. Each term is searched separately and its listings are returned. Also works as a category browse by passing a category name. ## `maxResults` (type: `integer`): Maximum total number of listing records to return across all queries. Each search page yields ~100 listings. Set 0 for no cap (returns everything found for the given queries). Default 100. ## `scrapeDetails` (type: `boolean`): Reserved. Whatnot's search results already include full listing details (title, description, price, seller, images), so this has no extra effect. Kept for compatibility. ## `proxyConfiguration` (type: `object`): Proxy settings. Whatnot is protected by a Cloudflare challenge, so RESIDENTIAL Apify Proxy is the recommended default for reliable access. ## Actor input object example ```json { "searchQueries": [ "charizard", "pokemon" ], "maxResults": 100, "scrapeDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (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 = { "searchQueries": [ "charizard", "pokemon" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/whatnot-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 = { "searchQueries": [ "charizard", "pokemon", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/whatnot-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 '{ "searchQueries": [ "charizard", "pokemon" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call lulzasaur/whatnot-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/whatnot-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Whatnot Marketplace Scraper", "description": "Scrape Whatnot live-shopping marketplace listings by search query. Per-listing data: title, description, price, currency, quantity, buy-it-now vs auction, seller username & rating, product image, and listing URL. Covers cards, coins, sneakers, toys and 250+ collectible categories.", "version": "1.0", "x-build-id": "4AeIDVI0dgVg2EioA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~whatnot-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-whatnot-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~whatnot-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-whatnot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~whatnot-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-whatnot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "One or more search terms or categories to scrape on Whatnot, e.g. 'charizard', 'pokemon', 'graded coins', 'jordan 1', 'funko pop'. Each term is searched separately and its listings are returned. Also works as a category browse by passing a category name.", "default": [ "pokemon" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum total number of listing records to return across all queries. Each search page yields ~100 listings. Set 0 for no cap (returns everything found for the given queries). Default 100.", "default": 100 }, "scrapeDetails": { "title": "Scrape Full Details", "type": "boolean", "description": "Reserved. Whatnot's search results already include full listing details (title, description, price, seller, images), so this has no extra effect. Kept for compatibility.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Whatnot is protected by a Cloudflare challenge, so RESIDENTIAL Apify Proxy is the recommended default for reliable access.", "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 } } } } } } } } } } ```