# Cvs Parser Spider (`getdataforme/cvs-parser-spider`) Actor The CVS Parser Spider Apify Actor efficiently extracts and parses customer reviews from CVS product pages, delivering structured JSON data on ratings, titles, and full text.... - **URL**: https://apify.com/getdataforme/cvs-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce, Automation, Lead generation - **Stats:** 3 total users, 0 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 ## Cvs Parser Spider ### Introduction The Cvs Parser Spider is a powerful Apify Actor designed to extract and parse customer reviews from CVS product pages efficiently. It automates the collection of detailed review data, including ratings, titles, and full text, enabling businesses and researchers to gain valuable insights into consumer sentiment. By handling multiple URLs in a single run, it streamlines data aggregation for market analysis and decision-making. ### Features - **Efficient Review Extraction**: Scrapes comprehensive review details from CVS product pages, including ratings, titles, bodies, and metadata. - **Batch Processing**: Supports multiple URLs in one execution, allowing for scalable data collection across various products. - **Structured Output**: Delivers clean, JSON-formatted data with fields like Product_Id, Review_Id, Rating, and more for easy integration. - **High Reliability**: Built with robust error handling to manage dynamic web changes and ensure consistent data quality. - **Fast Performance**: Optimized for speed, processing reviews quickly without compromising accuracy. - **Customizable Inputs**: Flexible URL configuration to target specific CVS products or categories. - **Apify Integration**: Seamlessly runs on the Apify platform with built-in monitoring and export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | No | A list of CVS product URLs to scrape reviews from. Each URL must be a valid HTTP/HTTPS link. | ["https://www.cvs.com/shop/well-market-deluxe-mixed-nuts-8-oz-prodid-335187"] | ### Example Usage To run the Cvs Parser Spider, provide the input configuration in JSON format. Here's an example: ```json { "Urls": [ "https://www.cvs.com/shop/reese-s-milk-chocolate-peanut-butter-creme-hearts-valentine-s-day-candy-7-4-oz-prodid-826335" ] } ```` The Actor will output a JSON array of review objects. Example output: ```json [ { "Product_Id": "826335", "Review_Id": "273011071", "Rating": 5, "Title": "Best Christmas Trees in KY", "Body": "These are a holiday go too, I look for these every year since they've been out! They are so delicious!", "Sentiment": null, "Section": "", "Higher_Topic": null, "Granular_Topic": null, "Source": "CVS", "Full_Review": "Best Christmas Trees in KY: These are a holiday go too, I look for these every year since they've been out! They are so delicious!", "Review_Type": "Product Review", "Title_Trans": "Best Christmas Trees in KY", "Body_Trans": "These are a holiday go too, I look for these every year since they've been out! They are so delicious!", "Full_Review_Trans": "Best Christmas Trees in KY: These are a holiday go too, I look for these every year since they've been out! They are so delicious!", "Product_Name_Trans": "Reese's Milk Chocolate Peanut Butter Creme Hearts Valentine's Day Candy, 7.4 OZ", "Product_Segment": "Snacks", "Gender": "Unisex", "Product_Segment2": "Nuts", "Year_Quarter": "2026-Q1", "Sub_Brand": "Reese's", "Format": "Pants", "Country": "India", "Date": "01-19-2026", "Product_Name": "Reese's Milk Chocolate Peanut Butter Creme Hearts Valentine's Day Candy, 7.4 OZ", "Brand": "Reese's", "URL": "https://www.cvs.com/shop/reese-s-milk-chocolate-peanut-butter-creme-hearts-valentine-s-day-candy-7-4-oz-prodid-826335", "Crawled_Date": "01-29-2026" }, { "Product_Id": "826335", "Review_Id": "273101827", "Rating": 5, "Title": "These kandies are pretty good", "Body": "The chocolate and peanut butter clash is an perfect treat", "Sentiment": null, "Section": "", "Higher_Topic": null, "Granular_Topic": null, "Source": "CVS", "Full_Review": "These kandies are pretty good: The chocolate and peanut butter clash is an perfect treat", "Review_Type": "Product Review", "Title_Trans": "These kandies are pretty good", "Body_Trans": "The chocolate and peanut butter clash is an perfect treat", "Full_Review_Trans": "These kandies are pretty good: The chocolate and peanut butter clash is an perfect treat", "Product_Name_Trans": "Reese's Milk Chocolate Peanut Butter Creme Hearts Valentine's Day Candy, 7.4 OZ", "Product_Segment": "Snacks", "Gender": "Unisex", "Product_Segment2": "Nuts", "Year_Quarter": "2026-Q1", "Sub_Brand": "Reese's", "Format": "Pants", "Country": "India", "Date": "01-22-2026", "Product_Name": "Reese's Milk Chocolate Peanut Butter Creme Hearts Valentine's Day Candy, 7.4 OZ", "Brand": "Reese's", "URL": "https://www.cvs.com/shop/reese-s-milk-chocolate-peanut-butter-creme-hearts-valentine-s-day-candy-7-4-oz-prodid-826335", "Crawled_Date": "01-29-2026" }, { "Product_Id": "826335", "Review_Id": "272609130", "Rating": 5, "Title": "Absolutely delicious!", "Body": "This variation of Reese’s is absolutely delicious. It has a much softer texture than the original Reese’s with a creamier peanut butter inside. My favorite Reese’s for sure!", "Sentiment": null, "Section": "", "Higher_Topic": null, "Granular_Topic": null, "Source": "CVS", "Full_Review": "Absolutely delicious!: This variation of Reese’s is absolutely delicious. It has a much softer texture than the original Reese’s with a creamier peanut butter inside. My favorite Reese’s for sure!", "Review_Type": "Product Review", "Title_Trans": "Absolutely delicious!", "Body_Trans": "This variation of Reese’s is absolutely delicious. It has a much softer texture than the original Reese’s with a creamier peanut butter inside. My favorite Reese’s for sure!", "Full_Review_Trans": "Absolutely delicious!: This variation of Reese’s is absolutely delicious. It has a much softer texture than the original Reese’s with a creamier peanut butter inside. My favorite Reese’s for sure!", "Product_Name_Trans": "Reese's Milk Chocolate Peanut Butter Creme Hearts Valentine's Day Candy, 7.4 OZ", "Product_Segment": "Snacks", "Gender": "Unisex", "Product_Segment2": "Nuts", "Year_Quarter": "2026-Q1", "Sub_Brand": "Reese's", "Format": "Pants", "Country": "India", "Date": "01-10-2026", "Product_Name": "Reese's Milk Chocolate Peanut Butter Creme Hearts Valentine's Day Candy, 7.4 OZ", "Brand": "Reese's", "URL": "https://www.cvs.com/shop/reese-s-milk-chocolate-peanut-butter-creme-hearts-valentine-s-day-candy-7-4-oz-prodid-826335", "Crawled_Date": "01-29-2026" } ] ``` ### Use Cases - **Market Research**: Analyze customer feedback on CVS products to identify trends and preferences. - **Competitive Intelligence**: Compare reviews across similar products to benchmark performance. - **Price Monitoring**: Track sentiment alongside pricing data for informed pricing strategies. - **Content Aggregation**: Collect reviews for content creation, such as blog posts or reports. - **Academic Research**: Gather data for studies on consumer behavior in retail. - **Business Automation**: Automate review collection for dashboards or alerts on product performance. ### Installation and Usage 1. Search for "Cvs 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 output is a JSON array of objects, each representing a single review. Key fields include Product\_Id (unique product identifier), Review\_Id (unique review ID), Rating (numerical rating), Title (review title), Body (review content), Full\_Review (combined title and body), and metadata like Date, Brand, and URL. Additional fields like Sentiment, Higher\_Topic, and Granular\_Topic are placeholders for potential future enhancements. The data is structured for easy parsing and integration into databases or analysis tools. ### 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.cvs.com/shop/well-market-deluxe-mixed-nuts-8-oz-prodid-335187" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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/cvs-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/cvs-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/cvs-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/cvs-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Cvs Parser Spider", "description": "The CVS Parser Spider Apify Actor efficiently extracts and parses customer reviews from CVS product pages, delivering structured JSON data on ratings, titles, and full text....", "version": "0.0", "x-build-id": "WF8OKwklqIqbDhUbN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~cvs-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-cvs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~cvs-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-cvs-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~cvs-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-cvs-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.cvs.com/shop/well-market-deluxe-mixed-nuts-8-oz-prodid-335187" ], "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 } } } } } } } } } } ```