Cvs Reviews Parser Spider

Introduction

The Cvs Reviews Parser Spider is a powerful Apify Actor designed to extract and parse customer reviews from CVS product pages. It automates the collection of detailed review data, including ratings, titles, and full text, enabling businesses and researchers to gain valuable insights into product performance and customer sentiment. By leveraging robust scraping techniques, this actor ensures efficient and reliable data extraction for informed decision-making.

Features

• Comprehensive Review Extraction: Captures key details such as ratings, review titles, bodies, and metadata from CVS product pages.
• Multi-URL Support: Handles multiple product URLs in a single run, allowing batch processing for efficiency.
• Proxy Integration: Utilizes Apify's proxy services to avoid IP blocks and ensure uninterrupted scraping.
• Structured Output: Delivers clean, JSON-formatted data ready for analysis or integration into databases.
• High Reliability: Built with error-handling mechanisms to manage dynamic web content and rate limits.
• Fast Performance: Optimized for speed, processing reviews quickly without compromising data quality.
• Customizable Inputs: Flexible configuration options to tailor scraping to specific needs.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of URLs pointing to CVS product pages from which reviews will be extracted. Each URL must be a valid HTTP or HTTPS link.	["https://www.cvs.com/shop/well-market-deluxe-mixed-nuts-8-oz-prodid-335187"]
proxyConfiguration	object	No	Configuration for proxy servers to mask the scraper's origin and avoid detection. Defaults to using Apify Proxy.	{"useApifyProxy": true}

Example Usage

To run the actor, provide the input parameters in JSON format. Here's an example:

{
  "Urls": [
    "https://www.cvs.com/shop/well-market-deluxe-mixed-nuts-8-oz-prodid-335187"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

The actor will output a JSON array of review objects. Example output:

[
  {
    "Product_Id": "335187",
    "Review_Id": "247429313",
    "Rating": 5,
    "Title": "Quick Snack",
    "Body": "These bagged mixed nuts are convenient to carry in your purse or pocket. They are a good nutritionous snack to eat with a piece of fruit when you get hungry.",
    "Sentiment": null,
    "Section": "",
    "Higher_Topic": null,
    "Granular_Topic": null,
    "Source": "Flipkart",
    "Full_Review": "Quick Snack: These bagged mixed nuts are convenient to carry in your purse or pocket. They are a good nutritionous snack to eat with a piece of fruit when you get hungry.",
    "Review_Type": "Product Review",
    "Title_Trans": "Quick Snack",
    "Body_Trans": "These bagged mixed nuts are convenient to carry in your purse or pocket. They are a good nutritionous snack to eat with a piece of fruit when you get hungry.",
    "Full_Review_Trans": "Quick Snack: These bagged mixed nuts are convenient to carry in your purse or pocket. They are a good nutritionous snack to eat with a piece of fruit when you get hungry.",
    "Product_Name_Trans": "Well Market Deluxe Mixed Nuts, 8 oz",
    "Product_Segment": "Snacks",
    "Gender": "Unisex",
    "Product_Segment2": "Nuts",
    "Year_Quarter": "2026-Q1",
    "Sub_Brand": "Well Market",
    "Format": "Pants",
    "Country": "India",
    "Date": "01-13-2026",
    "Product_Name": "Well Market Deluxe Mixed Nuts, 8 oz",
    "Brand": "Well Market",
    "URL": "https://www.cvs.com/shop/well-market-deluxe-mixed-nuts-8-oz-prodid-335187",
    "Crawled_Date": "01-14-2026"
  }
]

Use Cases

• Market Research: Analyze customer feedback to identify trends in product preferences and satisfaction levels.
• Competitive Intelligence: Compare CVS product reviews with competitors to benchmark performance.
• Price Monitoring: Track review sentiments alongside pricing data for dynamic pricing strategies.
• Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or reports.
• Academic Research: Gather data for studies on consumer behavior and product reviews in retail.
• Business Automation: Automate review extraction for dashboards or alerts on product issues.

Installation and Usage

1. Search for "Cvs Reviews 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 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 headline), Body (full review text), and additional metadata like Sentiment, Source, Date, and URL. Fields like Sentiment, Higher_Topic, and Granular_Topic may be null if not applicable. The 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!