Target Reviews Spider

Introduction

The Target Reviews Spider is a powerful Apify Actor designed to extract detailed customer reviews from Target.com product pages. It efficiently scrapes review data, including ratings, text, photos, and secondary ratings, enabling users to gather valuable insights into product performance and customer sentiment. This tool is ideal for businesses, researchers, and analysts seeking comprehensive review data for informed decision-making.

Features

• Comprehensive Review Extraction: Captures all key review elements such as ratings, titles, text, recommendations, verification status, and media attachments (photos and videos).
• High Data Reliability: Ensures accurate and up-to-date data by directly scraping from Target's official product pages, with built-in error handling for robust performance.
• Scalable and Fast: Processes multiple product URLs concurrently, delivering results quickly even for large batches.
• Structured Output: Provides clean, JSON-formatted data that's easy to integrate into databases, analytics tools, or reporting systems.
• Customizable Inputs: Allows users to specify multiple product URLs for targeted scraping, with flexible configuration options.
• No API Keys Required: Operates without needing authentication, simplifying setup and reducing costs.
• Detailed Secondary Ratings: Extracts nuanced feedback on aspects like quality, value, and taste for deeper analysis.

Input Parameters

Parameter	Type	Required	Description	Example
ProductUrls	array	Yes	A list of Target product URLs to scrape reviews from. Each URL must be a valid HTTP/HTTPS link to a product page.	["https://www.target.com/p/premium-basted-young-turkey-frozen-10-16lbs-price-per-lb-good-38-gather-8482/-/A-52610578"]

Example Usage

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

{
  "ProductUrls": [
    "https://www.target.com/p/premium-basted-young-turkey-frozen-10-16lbs-price-per-lb-good-38-gather-8482/-/A-52610578"
  ]
}

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

[
  {
    "Tcin": "95072089",
    "Review_Id": "69932b6b-4dd4-4785-9cbe-127c9b975c0e",
    "External_Id": "db07430c-6889-5d87-bdca-38f571ab23e8",
    "Rating": 5,
    "Title": "Good affordable option",
    "Text": "Not bad for the price. The bird was big and had a good amount of meat on the bones. Cooked it in a turkey cooker. Turned out juicy and wonderful. Used the leftovers for sliders and turkey noodle soup! Yum!",
    "Is_Recommended": true,
    "Is_Verified": true,
    "Photos": [
      "https://target.scene7.com/is/image/Target/GUEST_fc5b057c-7600-4bbb-9f67-7e5c6f27789d",
      "https://target.scene7.com/is/image/Target/GUEST_b0dd927a-c895-4aa8-b719-5062d3f8bdda"
    ],
    "Videos": [],
    "Author": "Saangs",
    "Submitted_At": "2024-12-04T22:24:43.000+00:00",
    "Modified_At": "2025-11-29T16:47:33.000+00:00",
    "Secondary_Ratings": {
      "Quality": {
        "Id": "Quality",
        "Value": 5,
        "Label": "quality",
        "ValueRange": 5,
        "DisplayType": "NORMAL"
      },
      "Value": {
        "Id": "Value",
        "Value": 5,
        "Label": "value",
        "ValueRange": 5,
        "DisplayType": "NORMAL"
      },
      "Taste": {
        "Id": "Taste",
        "Value": 5,
        "Label": "taste",
        "ValueRange": 5,
        "DisplayType": "NORMAL"
      }
    },
    "actor_id": "0knWOq3abaPjpX2Bc",
    "run_id": "xSehynzkcoaUAxE6H"
  }
]

Use Cases

• Market Research and Analysis: Analyze customer feedback to identify trends in product satisfaction and preferences.
• Competitive Intelligence: Compare reviews across similar products to gauge market positioning and strengths.
• Price Monitoring: Track how pricing influences ratings and recommendations for pricing strategy optimization.
• Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or social media insights.
• Academic Research: Gather data for studies on consumer behavior, product quality, and e-commerce trends.
• Business Automation: Automate review collection for dashboards, reports, or alerts on product performance.

Installation and Usage

1. Search for "Target Reviews 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 a JSON array of objects, each representing a single review. Key fields include:

• Tcin: Target's product identifier.
• Review_Id and External_Id: Unique identifiers for the review.
• Rating: Numerical rating (1-5).
• Title and Text: Review title and body.
• Is_Recommended and Is_Verified: Boolean flags for recommendation and verification.
• Photos and Videos: Arrays of media URLs.
• Author: Reviewer's username.
• Submitted_At and Modified_At: Timestamps in ISO format.
• Secondary_Ratings: Object with detailed ratings (e.g., Quality, Value, Taste).
• actor_id and run_id: Metadata from the Apify run.

This structure 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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