# Walmart Product Search Scraper (`xtracto/walmart-search-scraper`) Actor Search Walmart by keyword and collect every product card across paginated results. - **URL**: https://apify.com/xtracto/walmart-search-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 Search Scraper Turn any Walmart keyword search into a structured product feed — price, rating, review count, sponsored flag, seller, image, and direct product URL for every result card. ### Why use this actor - **Track keyword rankings** for your own SKUs and competitors across any number of search terms without manual effort. - **Monitor sponsored placements** to measure ad-share for high-value categories and spot emerging advertisers. - **Discover new sellers and products** entering a category before they appear in your own sales data. - **Aggregate price benchmarks** across the full result set, not just the top card, for accurate market pricing. - **Detect assortment changes** — identify new products entering or leaving a category's top pages over time. - **Export to any format** — results 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 search keywords and the number of result pages to retrieve per keyword. 2. The actor submits each query to Walmart's search system and walks through the requested pages. 3. Every product card on each page is parsed — title, brand, price, rating, seller, sponsored status, image, and URL are all extracted. 4. Results are deduplicated within a run and written to the Default Dataset as they arrive. 5. Download the dataset in JSON, CSV, or Excel from the Apify Console, or connect it to your pipeline via the API. You don't need to manage any browsers or scrapers. ### Input ```json { "queries": ["wireless earbuds", "4k tv 55 inch", "yoga mat"], "maxPagesPerQuery": 3, "maxConcurrency": 4, "maxRequestRetries": 6, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` | Field | Type | Required | Default | Description | |---|---|---|---|---| | `queries` | array of strings | Yes | — | Search keywords, one per entry. | | `maxPagesPerQuery` | integer | No | `3` | Result pages to retrieve per keyword (1–25). | | `maxConcurrency` | integer | No | `4` | Number of parallel requests. | | `maxRequestRetries` | integer | No | `6` | Retries per request before giving up. | | `proxyConfiguration` | object | No | Apify RESIDENTIAL | Proxy settings. RESIDENTIAL group recommended. | ### Output One record per product card, per page: ```json { "query": "wireless earbuds", "page": 1, "position": 1, "productId": "5183064334", "title": "Apple AirPods (4th Generation) Wireless Earbuds", "brand": "Apple", "price": 129.0, "listPrice": 129.0, "currency": "USD", "rating": 4.6, "reviewCount": 4821, "seller": "Walmart.com", "availability": "In stock", "image": "https://i5.walmartimages.com/seo/Apple-AirPods-4_abc123.jpg", "sponsored": false, "url": "https://www.walmart.com/ip/Apple-AirPods/5183064334", "scrapedAt": "2026-05-30T04:43:00Z" } ``` | Field | Type | Description | |---|---|---| | `query` | string | The search keyword that produced this result. | | `page` | integer | Result page number (1-based). | | `position` | integer | Position of the card on the page (1-based). | | `productId` | string | Walmart item ID. | | `title` | string | Full product title as shown on the search card. | | `brand` | string | Brand name. | | `price` | number | Current selling price in USD. | | `listPrice` | number | Original / was-price (same as `price` when no discount). | | `currency` | string | Always `"USD"` for Walmart US. | | `rating` | number | Average customer rating (0–5). | | `reviewCount` | integer | Total number of customer ratings. | | `seller` | string | Selling entity — `"Walmart.com"` or a marketplace seller name. | | `availability` | string | Stock status shown on the card. | | `image` | string | Primary product image URL. | | `sponsored` | boolean | `true` when the card is a paid placement. | | `url` | string | Canonical product page 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 ## `queries` (type: `array`): Search keywords (one per array entry). ## `maxPagesPerQuery` (type: `integer`): How many result pages to traverse per query. ## `maxConcurrency` (type: `integer`): Maximum number of parallel requests. ## `maxRequestRetries` (type: `integer`): How many times a request will be retried before giving up. ## `proxyConfiguration` (type: `object`): Apify Proxy or your own proxy list. RESIDENTIAL group is recommended. ## Actor input object example ```json { "queries": [ "wireless earbuds" ], "maxPagesPerQuery": 3, "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 = { "queries": [ "wireless earbuds" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/walmart-search-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 = { "queries": ["wireless earbuds"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("xtracto/walmart-search-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 '{ "queries": [ "wireless earbuds" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call xtracto/walmart-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/walmart-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Walmart Product Search Scraper", "description": "Search Walmart by keyword and collect every product card across paginated results.", "version": "1.0", "x-build-id": "y9DsNOhWpxwKd7eSf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~walmart-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-walmart-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~walmart-search-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-walmart-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~walmart-search-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-walmart-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Search keywords", "type": "array", "description": "Search keywords (one per array entry).", "items": { "type": "string" } }, "maxPagesPerQuery": { "title": "Max pages per query", "minimum": 1, "maximum": 25, "type": "integer", "description": "How many result pages to traverse per query.", "default": 3 }, "maxConcurrency": { "title": "Max concurrency", "type": "integer", "description": "Maximum number of parallel requests.", "default": 4 }, "maxRequestRetries": { "title": "Max retries", "type": "integer", "description": "How many times a request will be retried before giving up.", "default": 6 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy or your own proxy list. RESIDENTIAL group is recommended." } } }, "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 } } } } } } } } } } ```