# Walmart Seller (Marketplace) Scraper (`xtracto/walmart-seller-scraper`) Actor Extracts marketplace seller profiles from Walmart.com — identity, contact, address, ratings, branding, and a featured products sample. HTTP-only, no browser. - **URL**: https://apify.com/xtracto/walmart-seller-scraper.md - **Developed by:** [xtractoo](https://apify.com/xtracto) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 ## Walmart Seller Scraper Extract marketplace seller profiles from Walmart.com — identity, ratings, contact information, catalog size, and featured products — in one clean record per seller. ### Why use this actor - **Discover and qualify suppliers** by pulling public seller profiles before approaching third-party merchants directly. - **Map the competitive landscape** — identify which sellers carry competing products on Walmart's marketplace and how they are rated. - **Track marketplace health metrics** — monitor seller count, ratings, badge status, and catalog size across a category over time. - **Screen for risk** — flag deactivated sellers or storefronts with unusually low ratings before placing orders or forming partnerships. - **Build a seller directory** — combine name, contact details, address, and featured products into a structured database for your team. - **Export to any format** — records land in Apify's Default Dataset and are available as JSON, CSV, or Excel with one click. ### How it works 1. You provide a list of Walmart seller storefront URLs (`https://www.walmart.com/seller/`) or bare numeric seller IDs. 2. The actor fetches each seller's public profile page and extracts all available identity and contact fields. 3. Ratings, badge status, deactivation status, and catalog item count are parsed from the seller's storefront data. 4. Up to 30 featured product cards are collected per seller and included inline — no separate product scraping needed. 5. One record per seller is written to the Default Dataset; download as JSON, CSV, or Excel, or stream via the API. You don't need to manage any browsers or scrapers. ### Input ```json { "sellerUrls": [ { "url": "https://www.walmart.com/seller/152" }, { "url": "https://www.walmart.com/seller/100002113" } ], "maxConcurrency": 4, "maxRequestRetries": 6, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` | Field | Type | Required | Default | Description | |---|---|---|---|---| | `sellerUrls` | array of objects | Yes | — | Walmart seller URLs in `{ "url": "..." }` format, or bare numeric catalog seller IDs. | | `maxConcurrency` | integer | No | `4` | Number of parallel requests (1–16). | | `maxRequestRetries` | integer | No | `6` | Retries per request before giving up (1–20). | | `proxyConfiguration` | object | No | Apify RESIDENTIAL | Proxy settings. RESIDENTIAL group recommended. | ### Output One record per seller: ```json { "sellerName": "Best Buy", "sellerId": "F91E84E8A3D64CE18A75CED9BFEC5CF9", "deactivationStatus": "ACTIVE", "catalogItemCount": 18420, "featuredProducts": [ { "productId": "5183064334", "title": "Apple AirPods (4th Generation)", "price": 129.0, "image": "https://i5.walmartimages.com/asr/airpods4.jpg", "url": "https://www.walmart.com/ip/Apple-AirPods-4th-Generation/5183064334" }, { "productId": "604342441", "title": "Apple AirPods with Charging Case (2nd Generation)", "price": 89.0, "image": "https://i5.walmartimages.com/asr/airpods2.jpg", "url": "https://www.walmart.com/ip/Apple-AirPods-2nd-Generation/604342441" } ], "scrapedAt": "2026-05-30T04:43:00Z" } ``` | Field | Type | Description | |---|---|---| | `sellerName` | string | Seller's registered display name on Walmart. | | `sellerId` | string | Walmart's internal UUID for this seller. | | `deactivationStatus` | string | Account standing — `"ACTIVE"` or a deactivation reason. | | `catalogItemCount` | integer | Total number of active listings in the seller's catalog. | | `featuredProducts` | array | Up to 30 product cards shown on the seller's storefront, each with `productId`, `title`, `price`, `image`, and `url`. | | `scrapedAt` | string | ISO 8601 timestamp of when this record was collected. | ### Other Walmart Scrapers | Actor | What it does | |---|---| | [Walmart Search Scraper](https://apify.com/store/walmart-search-scraper) | Keyword search results — ranking, pricing, and sponsored flags across any number of queries. | | [Walmart Product Scraper](https://apify.com/store/walmart-product-scraper) | Full product detail pages — specs, variants, images, top reviews, and fulfillment info. | | [Walmart Reviews Scraper](https://apify.com/store/walmart-reviews-scraper) | Complete review dataset per product — aggregate summary and individual review rows. | | [Walmart Seller Scraper](https://apify.com/store/walmart-seller-scraper) | Marketplace seller profiles — identity, ratings, contact info, and featured products. | # Actor input Schema ## `sellerUrls` (type: `array`): Walmart seller URLs (e.g. https://www.walmart.com/seller/152) or bare numeric catalogSellerIds. ## `maxConcurrency` (type: `integer`): Maximum number of inputs processed in parallel. Higher is faster but uses more proxy bandwidth. ## `maxRequestRetries` (type: `integer`): How many times a failed request is retried (e.g. on a bot-wall or network error) before the input is skipped. ## `proxyConfiguration` (type: `object`): Proxy settings. A residential Apify Proxy group is strongly recommended — Walmart's bot wall flags datacenter IPs. ## Actor input object example ```json { "sellerUrls": [ { "url": "https://www.walmart.com/seller/152" } ], "maxConcurrency": 4, "maxRequestRetries": 6, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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 = { "sellerUrls": [ { "url": "https://www.walmart.com/seller/152" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/walmart-seller-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 = { "sellerUrls": [{ "url": "https://www.walmart.com/seller/152" }] } # Run the Actor and wait for it to finish run = client.actor("xtracto/walmart-seller-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 '{ "sellerUrls": [ { "url": "https://www.walmart.com/seller/152" } ] }' | apify call xtracto/walmart-seller-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/walmart-seller-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Walmart Seller (Marketplace) Scraper", "description": "Extracts marketplace seller profiles from Walmart.com — identity, contact, address, ratings, branding, and a featured products sample. HTTP-only, no browser.", "version": "0.1", "x-build-id": "T9HxfU2ZMuQeUSeCL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~walmart-seller-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-walmart-seller-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~walmart-seller-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-walmart-seller-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~walmart-seller-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-walmart-seller-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "sellerUrls" ], "properties": { "sellerUrls": { "title": "Walmart seller URLs or catalogSellerIds", "type": "array", "description": "Walmart seller URLs (e.g. https://www.walmart.com/seller/152) or bare numeric catalogSellerIds.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxConcurrency": { "title": "Concurrency", "minimum": 1, "maximum": 16, "type": "integer", "description": "Maximum number of inputs processed in parallel. Higher is faster but uses more proxy bandwidth.", "default": 4 }, "maxRequestRetries": { "title": "Max retries per request", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many times a failed request is retried (e.g. on a bot-wall or network error) before the input is skipped.", "default": 6 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. A residential Apify Proxy group is strongly recommended — Walmart's bot wall flags datacenter IPs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```