# Walmart Data Extractor (`kawsar/walmart-data-extractor`) Actor Walmart product scraper that extracts pricing, ratings, and seller data from search results and product pages, so you can track competitors and make data-driven decisions without manual research. - **URL**: https://apify.com/kawsar/walmart-data-extractor.md - **Developed by:** [Kawsar](https://apify.com/kawsar) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 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. 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 Data Extractor Walmart Data Extractor collects product listings, prices, ratings, and seller data from Walmart.com search results and individual product pages. Give it a search term or a list of product URLs and it returns structured records you can feed directly into pricing dashboards, SEO reports, and competitive intelligence workflows. Pagination runs automatically, so a single task can gather hundreds of products without manual setup. --- ### What you get per product | Field | Details | |---|---| | `title` | Full product name | | `price` | Current selling price (USD) | | `originalPrice` | Original list price before any discount | | `currency` | Always `USD` | | `rating` | Average star rating (0-5) | | `reviewCount` | Total customer review count | | `brand` | Brand name | | `seller` | Seller or fulfillment partner name | | `imageUrl` | Main product image URL | | `productUrl` | Full Walmart.com product page URL | | `itemId` | Walmart unique item ID | | `availability` | `In stock` or `Out of stock` | | `category` | Category breadcrumb path | | `productDescription` | Short product description | | `searchQuery` | The search term that returned this result | | `scrapedAt` | ISO 8601 timestamp | When **Include customer reviews** is enabled, each product page result also includes a `reviews` array with individual ratings and review text. --- ### Input ```json { "searchQueries": ["Mixed Bouquets", "iPhone 15"], "productUrls": [ "https://www.walmart.com/ip/Product-Name/123456789" ], "includeReviews": false, "maxItems": 48, "requestTimeoutSecs": 30 } ```` | Field | Type | Default | Description | |---|---|---|---| | `searchQueries` | string\[] | — | Search terms to scrape | | `productUrls` | string\[] | — | Direct product page URLs | | `includeReviews` | boolean | `false` | Collect customer reviews from product pages | | `maxItems` | integer | `48` | Max products to collect (up to 1000) | | `requestTimeoutSecs` | integer | `30` | Per-request timeout in seconds | You must provide at least one `searchQueries` entry or one `productUrls` entry. *** ### Example output ```json { "title": "From You Flowers - Pink Rose & Alstroemeria Bouquet with Free Vase", "price": 59.98, "originalPrice": null, "currency": "USD", "rating": 3.2, "reviewCount": 79, "brand": "FROM YOU FLOWERS", "seller": "From You Flowers", "imageUrl": "https://i5.walmartimages.com/seo/...", "productUrl": "https://www.walmart.com/ip/From-You-Flowers.../612057460", "itemId": "612057460", "availability": "In stock", "category": "Seasonal > Mother's Day Gifts > Mother's Day Flowers", "productDescription": "This gorgeous bouquet is composed of a rainbow of pink hues...", "searchQuery": "Mixed Bouquets", "scrapedAt": "2026-04-04T10:30:00+00:00" } ``` *** ### Use cases - **Price monitoring** - Track price changes across product categories over time - **Competitor research** - Benchmark competitor products, pricing, and seller strategies - **SEO analysis** - Identify top-ranking products for target search queries - **Inventory tracking** - Monitor stock availability across multiple SKUs - **Market research** - Gather product data for trend analysis and category insights - **E-commerce intelligence** - Build pricing databases for repricing tools *** ### Pagination Search results are paginated automatically. The actor fetches consecutive pages until it reaches the `maxItems` limit or runs out of results. *** ### Error handling Failed items are logged and recorded with an `error` field rather than stopping the whole run. This means partial results are always available even if some pages fail to load. *** ### Limits - Maximum 1000 items per run - Works on any Walmart.com search query or product URL - Supports both regular products and marketplace seller listings *** ### Performance tips - Use specific search queries to get the most relevant results - Set `maxItems` to a value that matches your actual data needs # Actor input Schema ## `searchQueries` (type: `array`): Search terms to scrape from Walmart (e.g. "iPhone 15", "running shoes"). ## `productUrls` (type: `array`): Direct Walmart product page URLs to scrape. ## `maxItems` (type: `integer`): Maximum number of products to collect per search query. All product URLs are always scraped regardless of this limit. ## `requestTimeoutSecs` (type: `integer`): Per-request timeout in seconds. ## Actor input object example ```json { "searchQueries": [ "laptop", "wireless headphones" ], "productUrls": [ "https://www.walmart.com/ip/From-You-Flowers-Pink-Rose-Alstroemeria-Bouquet-with-Free-Vase-Fresh-Flowers/612057460" ], "maxItems": 48, "requestTimeoutSecs": 30 } ``` # 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": [ "Mixed Bouquets", "iPhone 15" ], "productUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("kawsar/walmart-data-extractor").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": [ "Mixed Bouquets", "iPhone 15", ], "productUrls": [], } # Run the Actor and wait for it to finish run = client.actor("kawsar/walmart-data-extractor").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": [ "Mixed Bouquets", "iPhone 15" ], "productUrls": [] }' | apify call kawsar/walmart-data-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kawsar/walmart-data-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Walmart Data Extractor", "description": "Walmart product scraper that extracts pricing, ratings, and seller data from search results and product pages, so you can track competitors and make data-driven decisions without manual research.", "version": "0.0", "x-build-id": "FrPcZkgVWntAwIuru" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kawsar~walmart-data-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kawsar-walmart-data-extractor", "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/kawsar~walmart-data-extractor/runs": { "post": { "operationId": "runs-sync-kawsar-walmart-data-extractor", "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/kawsar~walmart-data-extractor/run-sync": { "post": { "operationId": "run-sync-kawsar-walmart-data-extractor", "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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Search terms to scrape from Walmart (e.g. \"iPhone 15\", \"running shoes\").", "items": { "type": "string" } }, "productUrls": { "title": "Product URLs", "type": "array", "description": "Direct Walmart product page URLs to scrape.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of products to collect per search query. All product URLs are always scraped regardless of this limit.", "default": 48 }, "requestTimeoutSecs": { "title": "Request timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "Per-request timeout in seconds.", "default": 30 } } }, "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 } } } } } } } } } } ```