Dollargeneral Proxy Parser Spider

Introduction

The Dollargeneral Proxy Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product reviews from Dollar General's website. It leverages advanced web scraping techniques with proxy support to gather high-quality, structured data on customer feedback, ratings, and more. This tool is essential for businesses and researchers seeking actionable insights into consumer sentiment and product performance.

Features

• Comprehensive Review Extraction: Captures full review details including ratings, comments, helpful votes, and reviewer information.
• Proxy Integration: Utilizes residential proxies to avoid IP blocks and ensure reliable data collection.
• Multi-URL Support: Processes multiple product URLs in a single run for efficient batch scraping.
• Structured JSON Output: Delivers clean, machine-readable data perfect for analysis and integration.
• High Reliability: Handles dynamic web content and provides consistent results with error resilience.
• Fast Performance: Optimized for speed, allowing quick extraction of large datasets.
• Apify Platform Integration: Seamlessly runs on Apify's cloud infrastructure with easy monitoring and scaling.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of URLs pointing to Dollar General product pages from which to extract reviews. Each URL must be a valid HTTP/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 mask the scraper's origin and avoid detection. Defaults to using Apify's residential proxies.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

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

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

The output will be an array of JSON objects, each representing a review. 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 and Analysis: Gather consumer feedback to understand product popularity and trends.
• Competitive Intelligence: Compare reviews across similar products to identify strengths and weaknesses.
• Price Monitoring: Analyze sentiment alongside pricing data for informed pricing strategies.
• Content Aggregation: Collect reviews for content creation, such as blog posts or reports.
• Academic Research: Study consumer behavior and preferences in retail environments.
• Business Automation: Automate data collection for dashboards or CRM integrations.

Installation and Usage

1. Search for "Dollargeneral Proxy 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 containing detailed review information. 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: Additional summary (may be null).
• product_page_id: Identifier for the product page.

This structured format ensures easy parsing and integration into databases or analytics 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!

---