Familydollar Parser Spider

Introduction

The Familydollar Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product information from Family Dollar's website. It efficiently gathers data such as product names, prices, reviews, ratings, and images, enabling users to collect structured data for analysis and automation. This tool is ideal for businesses, researchers, and developers seeking reliable, up-to-date insights from Family Dollar's online catalog.

Features

• Comprehensive Data Extraction: Scrapes key product details including IDs, names, brands, prices, reviews, ratings, descriptions, and images.
• Flexible URL Input: Accepts multiple URLs for batch processing, allowing targeted or broad data collection.
• High Reliability: Built with robust error handling to ensure consistent data quality even on dynamic web pages.
• Fast Performance: Optimized for speed, processing multiple products efficiently without overloading servers.
• Structured Output: Delivers clean JSON data, easily integrable with databases, analytics tools, or APIs.
• No Coding Required: User-friendly interface on Apify Store for quick setup and execution.
• Scalable: Handles large-scale scraping tasks, suitable for enterprise-level data needs.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	A list of URLs to scrape product data from Family Dollar's website. Each URL should point to a specific product page.	["https://www.familydollar.com/huggies-snug-dry-size-5diapers-25ct/FD3009085"]

Example Usage

To run the Actor, provide input in JSON format:

{
  "Urls": [
    "https://www.familydollar.com/huggies-snug-dry-size-5diapers-25ct/FD3009085"
  ]
}

Example output:

[
  {
    "Product_Id": "FD3009085",
    "Product_Name": "Huggies Snug & Dry Baby Diapers, Size 5 (27+ lbs), 22 Ct",
    "Brand": "Huggies",
    "Price_Listed": 4.97,
    "Sale_Price": null,
    "Number_Of_Reviews": "15577",
    "Average_Rating": "4.5154",
    "Product_Description": "Huggies Snug & Dry Diapers: 22 baby diapers, size 5 (27+ lbs)",
    "Primary_Image_URL": "https://www.familydollar.com/ccstore/v1/images/?source=/file/v1894617043466034852/products/FD3009085.jpg&height=300&width=300",
    "Route": "https://www.familydollar.com/huggies-snug-dry-size-5diapers-25ct/FD3009085",
    "Licensed_Product": "Disney(R) Mickey Mouse",
    "Available_In_Store": true,
    "Published_Date": "01-08-2025",
    "Source_URL": "https://www.familydollar.com/huggies-snug-dry-size-5diapers-25ct/FD3009085"
  }
]

Use Cases

• Market Research and Analysis: Analyze pricing trends, customer reviews, and product availability to inform business strategies.
• Competitive Intelligence: Compare Family Dollar products with competitors for pricing and feature insights.
• Price Monitoring: Track price changes and sales to optimize purchasing or retail decisions.
• Content Aggregation: Build databases of product descriptions and images for e-commerce platforms.
• Academic Research: Study consumer behavior through ratings and reviews data.
• Business Automation: Automate data feeds for inventory management or marketing campaigns.

Installation and Usage

1. Search for "Familydollar 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 data in JSON array format, where each object represents a scraped product. Key fields include:

• Product_Id: Unique identifier for the product.
• Product_Name: Full name of the product.
• Brand: Manufacturer or brand name.
• Price_Listed and Sale_Price: Pricing information (sale price may be null if not on sale).
• Number_Of_Reviews and Average_Rating: Customer feedback metrics.
• Product_Description: Detailed product info.
• Primary_Image_URL: Link to the main product image.
• Route and Source_URL: URLs related to the product.
• Licensed_Product: Any associated licensing (e.g., Disney).
• Available_In_Store: Boolean indicating in-store availability.
• Published_Date: Date the product was published.

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!

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