Walmart Price Scraper
Pricing
from $10.00 / 1,000 items
Go to Apify Store
Walmart Price Scraper
Walmart search, category and product prices, including the rollback items whose price the search response leaves empty.
Walmart Price Scraper
Pricing
from $10.00 / 1,000 items
Walmart search, category and product prices, including the rollback items whose price the search response leaves empty.
You can access the Walmart Price Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "rvUpihiS4RuRG1IIf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sellerkit~walmart-price-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sellerkit-walmart-price-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/sellerkit~walmart-price-scraper/runs": { "post": { "operationId": "runs-sync-sellerkit-walmart-price-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/sellerkit~walmart-price-scraper/run-sync": { "post": { "operationId": "run-sync-sellerkit-walmart-price-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", "properties": { "queries": { "title": "Search terms", "type": "array", "description": "Walmart search terms, for example \"gaming laptop\". Each term is paged until Max items is reached.", "items": { "type": "string" } }, "categoryUrls": { "title": "Category or browse URLs", "type": "array", "description": "Any Walmart listing page, for example https://www.walmart.com/browse/electronics/laptops/3944_1089430_3951 or a deals page. Product URLs pasted here are handled as products, so it does not matter which box you use.", "items": { "type": "string" } }, "productUrls": { "title": "Product URLs or item IDs", "type": "array", "description": "Specific products, for example 20305508298, /ip/... or the full URL. Query parts that decide which offer you see (selectedSellerId, classType, conditionGroupCode) are kept; ad tracking parts are dropped. These always read the product page, so they carry brand, model and UPC.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Stop after this many unique items. This is also the cap on what you can be charged.", "default": 100 }, "maxPagesPerQuery": { "title": "Max pages per search term", "minimum": 1, "maximum": 100, "type": "integer", "description": "Walmart serves about 60 items per page.", "default": 5 }, "sort": { "title": "Sort", "enum": [ "best_match", "price_low", "price_high", "best_seller", "new", "rating_high" ], "type": "string", "description": "Result order.", "default": "best_match" }, "enrichFromProductPage": { "title": "Open each product page", "type": "boolean", "description": "Adds brand, model, UPC and the seller-level stock status, and confirms the price on the product page itself. Slower, and charged as a separate event.", "default": false }, "onSaleOnly": { "title": "Only items on rollback", "type": "boolean", "description": "Keep only items whose price is below the was-price. Filtered rows are never saved, so they are never charged.", "default": false }, "inStockOnly": { "title": "Only items in stock", "type": "boolean", "description": "Keep only items Walmart currently shows as in stock. Filtered rows are never saved, so they are never charged.", "default": false }, "skipSponsored": { "title": "Skip sponsored placements", "type": "boolean", "description": "Sponsored rows repeat across pages and distort price comparisons.", "default": false }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Leave this off unless you have residential proxies. Walmart's block reads the client, not the address, so this actor runs a real browser and works on a direct connection; datacenter proxy addresses are already burned and get blocked immediately.", "default": { "useApifyProxy": false } }, "requirePrice": { "title": "Drop rows with no price", "type": "boolean", "description": "Walmart leaves a handful of items with no price at all, usually out of stock ones. Turn this on to skip them. Skipped rows are never saved, so they are never charged.", "default": false } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Walmart Price Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: