# Walgreens Parser Spider (`getdataforme/walgreens-parser-spider`) Actor The Walgreens Parser Spider is an Apify Actor that scrapes comprehensive product data from Walgreens.com, including titles, brands, prices, ingredients, nutrition facts, and reviews.... - **URL**: https://apify.com/getdataforme/walgreens-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation, E-commerce, Automation - **Stats:** 5 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ## Walgreens Parser Spider The Walgreens Parser Spider is a powerful Apify Actor designed to extract detailed product information from Walgreens.com. It efficiently scrapes product pages to gather comprehensive data including titles, brands, prices, ingredients, nutrition facts, reviews, and more. This tool is ideal for businesses and researchers needing accurate, structured data for analysis, monitoring, or integration into larger systems. ### Features - **Comprehensive Data Extraction**: Captures key product details such as ID, title, brand, images, pricing, ingredients, nutrition facts, reviews, and GTIN/UPC codes. - **High Reliability**: Built with robust error handling to ensure consistent data retrieval even from dynamic web pages. - **Fast and Scalable**: Processes multiple URLs efficiently, supporting batch scraping for large-scale operations. - **Structured Output**: Delivers clean, JSON-formatted data ready for export to CSV, Excel, or databases. - **User-Friendly Configuration**: Simple input parameters with validation to minimize setup errors. - **Apify Integration**: Seamlessly runs on the Apify platform with built-in monitoring and scheduling. - **Ethical Scraping**: Respects website terms and includes rate limiting to avoid overloading servers. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | Yes | A list of Walgreens product page URLs to scrape. Each URL must be a valid HTTP/HTTPS link to a product page. | ["https://www.walgreens.com/store/c/coca-cola-soda,-fridge-pack-12-pack/ID=prod6061761-product"] | ### Example Usage To run the actor, provide the input in JSON format: ```json { "Urls": [ "https://www.walgreens.com/store/c/coca-cola-soda,-fridge-pack-12-pack/ID=prod6061761-product" ] } ```` Example output: ```json [ { "Product_Id": "prod6061761", "Title": "Coca-Cola Soda, Fridge Pack 12 pack", "Brand": "Coca-Cola", "Image": "https://pics.walgreens.com/prodimg/416805/900.jpg", "Regular_Price": null, "Sale_Price": null, "Ingredients": [ "CARBONATED WATER", "HIGH FRUCTOSE CORN SYRUP", "CARAMEL COLOR", "PHOSPHORIC ACID", "NATURAL FLAVORS", "CAFFEINE" ], "Nutrition_Facts": [ { "dailyValue": "0", "nutritionFactName": "Total Fat", "amountPerServing": "0g" }, { "dailyValue": "2", "nutritionFactName": "Sodium", "amountPerServing": "45mg" }, { "dailyValue": "14", "nutritionFactName": "Total Carbohydrate", "amountPerServing": "39g" }, { "dailyValue": "", "nutritionFactName": "Protein", "amountPerServing": "0g" }, { "nutritionFactName": "Calories", "amountPerServing": "140" }, { "nutritionFactName": "Total Sugars", "amountPerServing": "39g" }, { "nutritionFactName": "Includes Added Sugars", "amountPerServing": "39g" } ], "Review_Count": 27375, "Review_Rating": "4.7", "Review_Summary": "4.7 out of 5", "GTIN": "00049000028904", "UPC": "04900002890" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather product data to analyze trends, pricing strategies, and consumer preferences in the retail sector. - **Competitive Intelligence**: Monitor competitors' products on Walgreens to track offerings, reviews, and market positioning. - **Price Monitoring**: Automate tracking of regular and sale prices for dynamic pricing alerts and inventory management. - **Content Aggregation**: Collect detailed product information for e-commerce platforms, blogs, or comparison sites. - **Academic Research**: Extract nutrition facts and ingredients for studies on consumer goods and health impacts. - **Business Automation**: Integrate scraped data into ERP systems or dashboards for streamlined decision-making. ### Installation and Usage 1. Search for "Walgreens Parser Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The actor outputs an array of JSON objects, each representing a scraped product. Key fields include: - **Product\_Id**: Unique identifier for the product. - **Title**: Full product name. - **Brand**: Manufacturer or brand name. - **Image**: URL to the product image. - **Regular\_Price** and **Sale\_Price**: Pricing information (may be null if unavailable). - **Ingredients**: Array of ingredient strings. - **Nutrition\_Facts**: Array of objects with nutritional details like name, amount, and daily value. - **Review\_Count**, **Review\_Rating**, **Review\_Summary**: Aggregated review data. - **GTIN** and **UPC**: Product codes for identification. Data is structured for easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.walgreens.com/store/c/coca-cola-soda,-fridge-pack-12-pack/ID=prod6061761-product" ] } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/walgreens-parser-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/walgreens-parser-spider").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 '{}' | apify call getdataforme/walgreens-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/walgreens-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Walgreens Parser Spider", "description": "The Walgreens Parser Spider is an Apify Actor that scrapes comprehensive product data from Walgreens.com, including titles, brands, prices, ingredients, nutrition facts, and reviews....", "version": "0.0", "x-build-id": "sxPOpVY0Jbv6mb9Rs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~walgreens-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-walgreens-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~walgreens-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-walgreens-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~walgreens-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-walgreens-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.walgreens.com/store/c/coca-cola-soda,-fridge-pack-12-pack/ID=prod6061761-product" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```