Dollargeneral Reviews Parser Spider

Introduction

The Dollargeneral Reviews Parser Spider is a powerful Apify Actor designed to extract and parse customer reviews from Dollar General product pages. It efficiently scrapes detailed review data, including ratings, comments, and user information, enabling businesses and researchers to gain valuable insights into consumer sentiment. This tool is ideal for market analysis, competitive intelligence, and data-driven decision-making.

Features

• Comprehensive Review Extraction: Captures all key review details such as ratings, comments, helpful votes, and reviewer profiles from Dollar General product pages.
• High Reliability: Utilizes robust scraping techniques with built-in error handling to ensure accurate and complete data retrieval.
• Proxy Support: Integrates with Apify's proxy services, including residential proxies, to bypass restrictions and maintain anonymity.
• Scalable Performance: Handles multiple URLs efficiently, making it suitable for batch processing of product reviews.
• Structured Output: Delivers data in a clean, JSON format that's easy to integrate into databases or analytics tools.
• Customizable Inputs: Allows flexible URL configuration to target specific products or categories.
• Fast Execution: Optimized for speed, minimizing wait times while maximizing data yield.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of URLs pointing to Dollar General product pages from which reviews will be scraped. Each URL must be a valid HTTP or HTTPS link.	["https://www.dollargeneral.com/p/cheez-it-cheese-crackers-hot-and-spicy-baked-snack-crackers-oz/24100440559"]
proxyConfiguration	object	No	Configuration for proxy servers to hide the scraper's origin. Defaults to using Apify's residential proxies.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

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

{
  "Urls": [
    "https://www.dollargeneral.com/p/cheez-it-cheese-crackers-hot-and-spicy-baked-snack-crackers-oz/24100440559"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

The Actor will output an array of review objects. Example output:

[
  {
    "review_id": 522262907,
    "headline": "10/10",
    "comments": "so good so incredible the flavors melt on my tongue i could eat 20 boxes of them",
    "rating": 5,
    "helpful_votes": 0,
    "not_helpful_votes": 0,
    "nickname": "june38",
    "location": "undisclosed",
    "created_date": 1716883568000,
    "is_verified_buyer": true,
    "is_verified_reviewer": true,
    "bottom_line": null,
    "product_page_id": "00802701"
  }
]

Use Cases

• Market Research: Analyze customer feedback to identify trends in product satisfaction and preferences.
• Competitive Intelligence: Compare reviews across similar products to benchmark performance.
• Price Monitoring: Track sentiment alongside pricing data for dynamic pricing strategies.
• Content Aggregation: Collect reviews for content creation, such as blog posts or social media insights.
• Academic Research: Gather data for studies on consumer behavior and retail analytics.
• Business Automation: Automate review monitoring for quality control and customer service improvements.

Installation and Usage

1. Search for "Dollargeneral 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 output is an array of JSON objects, each representing a single review. Key fields include:

• review_id: Unique identifier for the review.
• headline: Short title of the review.
• comments: Full text of the review.
• rating: Numerical rating (e.g., 1-5).
• helpful_votes and not_helpful_votes: User feedback counts.
• nickname and location: Reviewer details.
• created_date: Timestamp in Unix format.
• is_verified_buyer and is_verified_reviewer: Boolean flags for verification.
• bottom_line: Optional summary.
• product_page_id: Associated product identifier.

This structured format ensures 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!

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