Kroger Review Parser Spider

Kroger Review Parser Spider

The Kroger Review Parser Spider is an Apify Actor designed to scrape and parse customer reviews from product pages on Kroger's website. By providing a list of product URLs, this Actor extracts detailed review information, including ratings, titles, review text, and product metadata, delivering structured data for analysis or integration into your applications.

Input Parameters

The Actor requires a JSON input with the following parameters:

Parameter	Type	Description
Urls	Array	A list of Kroger product URLs to scrape reviews from. Example: ["https://www.kroger.com/p/simple-truth-sweet-potato-chips/0001111091250?fulfillment=PICKUP"]

Example Input

{
    "Urls": [
        "https://www.kroger.com/p/simple-truth-sweet-potato-chips/0001111091250?fulfillment=PICKUP"
    ]
}

Features

• Comprehensive Review Extraction: Captures detailed review data including ratings, titles, review text, and sentiment analysis.
• Product Metadata: Includes product details like Product ID, Name, Brand, and Segment for enriched data output.
• Reliable Data Structure: Outputs structured JSON with consistent fields for easy integration into downstream applications.
• Scalable URL Processing: Handles multiple product URLs in a single run, ideal for batch processing.
• Error Handling: Robust handling of missing or incomplete review data to ensure reliable output.

Output

The Actor returns a JSON array of review objects with detailed fields for each review. Below is an example output:

[
  {
    "Product_Id": "0001111091250",
    "Review_Id": "0d1d1a93-3a32-52af-bc82-b391f65a4ffc",
    "Rating": 4,
    "Title": "I like them",
    "Body": "I'm getting much stronger from opening these bags. Pretty good flavor. Little bit hard.",
    "Sentiment": null,
    "Section": "",
    "Higher_Topic": null,
    "Granular_Topic": null,
    "Source": "vitacost",
    "Full_Review": "I like them: I'm getting much stronger from opening these bags. Pretty good flavor. Little bit hard.",
    "Review_Type": "Product Review",
    "Title_Trans": "I like them",
    "Body_Trans": "I'm getting much stronger from opening these bags. Pretty good flavor. Little bit hard.",
    "Full_Review_Trans": "I like them: I'm getting much stronger from opening these bags. Pretty good flavor. Little bit hard.",
    "Product_Name_Trans": "Simple Truth Sweet Potato Chips",
    "Product_Segment": "Chips",
    "Gender": "Unisex",
    "Product_Segment2": "Sweet Potato",
    "Year_Quarter": "2025-Q2",
    "Sub_Brand": "Simple",
    "Format": null,
    "Country": "USA",
    "Date": "2025-05-16T13:15:49.000Z",
    "Product_Name": "Simple Truth Sweet Potato Chips",
    "Brand": "Simple",
    "URL": "https://www.kroger.com/p/simple-truth-sweet-potato-chips/0001111091250?fulfillment=PICKUP",
    "Crawled_Date": "07-27-2025"
  }
]

Use Cases

• Market Research: Analyze customer sentiment and feedback for specific Kroger products to inform marketing strategies.
• Product Development: Identify common complaints or praises to guide product improvements or new product launches.
• Competitor Analysis: Compare review sentiments across different brands or product segments sold on Kroger's platform.
• Customer Insights: Integrate review data into CRM systems to enhance customer experience and personalization.
• Trend Analysis: Track review trends over time to understand shifts in consumer preferences.

Support

For bug reports or custom needs, please contact us at support@getdataforme.com or use our contact form: https://getdataforme.com/contact/. Make sure to include a clear subject line in your message, such as "Kroger Review Parser Spider Support."