# Walgreens Product Search (`moving_beacon-owner1/walgreens-product-search`) Actor Scrapes Nike.com search results for a query and returns structured product listings with: - Product ID (style-color code), title, subtitle - URL and image - Pricing (current, original, sale, discount %, currency) - Product metadata (colors, colorways, badges) - Flags: best seller, just in - **URL**: https://apify.com/moving\_beacon-owner1/walgreens-product-search.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Automation, Developer tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## Nike Product Search Actor Scrapes Nike.com search results. ### Input | Field | Type | Default | Notes | |---|---|---|---| | `query` | string | `"air max"` | **Required.** Search term passed to `/w?q={query}`. | | `maxResults` | int | `50` | Cap on rows returned after de-duplication. | | `scrollSteps` | int | `5` | Viewport-height scrolls after initial load. Nike lazy-mounts ~24 cards at a time; raise to 10+ for big queries. | | `headless` | bool | `true` | On Apify (Linux) the actor uses Xvfb regardless — leave true. | | `proxyConfiguration` | object | Apify Residential US | Datacenter proxies will fail. Residential US is the working configuration. | ### Output One JSON record per product card with **20 fields**: | Field | Type | Notes | |---|---|---| | `productId` | string \| null | Per-colorway style-color code from the PDP URL (e.g. `HM9451-001`). Used for dedup. | | `title` | string | Product title (e.g. `Nike Air Max 90`). | | `subtitle` | string | Category line (e.g. `Men's Shoes`, `Big Kids' Shoes`). | | `url` | string | Absolute PDP URL. | | `image` | string | Absolute image URL (CDN). | | `price` | number \| null | Current price parsed as a float (sale price when on sale). | | `priceText` | string \| null | Raw price text including currency symbol. | | `originalPrice` | string \| null | Strike-through original price (only set on sale). | | `salePrice` | string \| null | Current sale price (only set on sale). | | `discountPercent` | int \| null | Computed: `round((1 - sale/original) * 100)`. | | `currency` | string \| null | Currency symbol or code parsed from the price text. | | `colorCount` | int \| null | Number from the "5 Colors" badge on the card. | | `colorways` | string[] \| null | Per-swatch aria-labels when Nike exposes them on the card. | | `badge` | string \| null | Top-left ribbon text (`Just In`, `Best Seller`, `Sustainable Materials`, etc.). | | `isSustainable` | bool | Badge mentions sustainability / Move to Zero. | | `isComingSoon` | bool | Badge mentions "Coming Soon". | | `isBestSeller` | bool | Badge mentions "Best Seller". | | `isJustIn` | bool | Badge mentions "Just In". | | `isMemberOnly` | bool | Card is locked behind Nike member sign-in. | Records with missing `title` are dropped before return. Duplicate `productId`s (Nike sometimes repeats cards across sponsored slots) are deduped. # Actor input Schema ## `query` (type: `string`): Search term passed to /w?q={query}. Examples: 'air max', 'pegasus', 'dunk low', 'mens running shoes'. ## `maxResults` (type: `integer`): Upper bound on records returned after dedup. Nike's grid lazy-loads as you scroll; bump scrollSteps to load more before extraction. ## `scrollSteps` (type: `integer`): Viewport-height scrolls after initial load. Nike lazy-mounts ~24 cards at a time; raise to 10+ for big queries. ## `headless` (type: `boolean`): On Apify (Linux) the actor uses Xvfb regardless — leave true for cloud runs. ## `proxyConfiguration` (type: `object`): Nike.com uses Akamai Bot Manager. Apify Residential US is the working configuration; datacenter IPs typically get soft-blocked. ## Actor input object example ```json { "query": "air max", "maxResults": 50, "scrollSteps": 5, "headless": true, "proxyConfiguration": { "useApifyProxy": false } } ```` # 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 = { "query": "air max", "maxResults": 50, "scrollSteps": 5, "headless": true }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/walgreens-product-search").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 = { "query": "air max", "maxResults": 50, "scrollSteps": 5, "headless": True, } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/walgreens-product-search").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 '{ "query": "air max", "maxResults": 50, "scrollSteps": 5, "headless": true }' | apify call moving_beacon-owner1/walgreens-product-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/walgreens-product-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Walgreens Product Search", "description": "Scrapes Nike.com search results for a query and returns structured product listings with:\n\n- Product ID (style-color code), title, subtitle\n- URL and image\n- Pricing (current, original, sale, discount %, currency)\n- Product metadata (colors, colorways, badges)\n- Flags: best seller, just in", "version": "0.0", "x-build-id": "ZyqZV1N4dV8P7mXRx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~walgreens-product-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-walgreens-product-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~walgreens-product-search/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-walgreens-product-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~walgreens-product-search/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-walgreens-product-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search query", "type": "string", "description": "Search term passed to /w?q={query}. Examples: 'air max', 'pegasus', 'dunk low', 'mens running shoes'." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Upper bound on records returned after dedup. Nike's grid lazy-loads as you scroll; bump scrollSteps to load more before extraction.", "default": 50 }, "scrollSteps": { "title": "Scroll steps", "minimum": 0, "maximum": 30, "type": "integer", "description": "Viewport-height scrolls after initial load. Nike lazy-mounts ~24 cards at a time; raise to 10+ for big queries.", "default": 5 }, "headless": { "title": "Headless mode", "type": "boolean", "description": "On Apify (Linux) the actor uses Xvfb regardless — leave true for cloud runs.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Nike.com uses Akamai Bot Manager. Apify Residential US is the working configuration; datacenter IPs typically get soft-blocked.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```