Target Reviews Spider

The Target Reviews Spider is an Apify Actor designed to extract detailed customer reviews from Target.com product pages. It provides comprehensive data on ratings, reviews, and secondary metrics, enabling users to gain valuable insights into product performance and customer sentiment. This tool is ideal for businesses, researchers, and analysts looking to automate the collection of authentic review data without manual scraping.

Features

• Comprehensive Review Extraction: Scrapes full review details including ratings, titles, text, photos, videos, and author information.
• Secondary Ratings Support: Captures additional metrics like quality, taste, and value for deeper analysis.
• High Reliability: Handles dynamic web content and ensures data accuracy through robust parsing.
• Scalable Performance: Processes multiple product URLs efficiently, supporting batch operations.
• JSON Output: Delivers structured data in JSON format, ready for integration with analytics tools.
• Error Handling: Includes built-in mechanisms to manage network issues and invalid URLs.
• Apify Integration: Seamlessly runs on the Apify platform with easy configuration and monitoring.

Input Parameters

Parameter	Type	Required	Description	Example
ProductUrls	array	Yes	An array of Target.com product URLs to scrape reviews from. Must be valid HTTP/HTTPS URLs.	["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 in JSON format:

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

Example output:

[
  {
    "Tcin": "95072089",
    "Review_Id": "f391442f-8323-4491-9c14-5a33a6c61598",
    "External_Id": "fa8049b9-f91f-5b8d-9799-3f05bbd4a48d",
    "Rating": 1,
    "Title": "Freezer burned",
    "Text": "Very disappointing. Defrosted the turkey to prep for thanksgiving and turned out the turkey has some sign of freezer burn and the smell has the freezer burn smell to it too.",
    "Is_Recommended": false,
    "Is_Verified": true,
    "Photos": [
      "https://target.scene7.com/is/image/Target/GUEST_e783da05-81c0-45ec-999c-e3a7887290a2",
      "https://target.scene7.com/is/image/Target/GUEST_4c88f5b0-5deb-4fa6-865d-747acd29c735"
    ],
    "Videos": [],
    "Author": "Kate",
    "Submitted_At": "2025-11-26T18:17:33.000+00:00",
    "Modified_At": "2025-12-23T18:20:51.000+00:00",
    "Secondary_Ratings": {
      "Quality": {
        "Id": "Quality",
        "Value": 1,
        "Label": "quality",
        "ValueRange": 5,
        "DisplayType": "NORMAL"
      },
      "Taste": {
        "Id": "Taste",
        "Value": 1,
        "Label": "taste",
        "ValueRange": 5,
        "DisplayType": "NORMAL"
      },
      "Value": {
        "Id": "Value",
        "Value": 1,
        "Label": "value",
        "ValueRange": 5,
        "DisplayType": "NORMAL"
      }
    },
    "actor_id": "0knWOq3abaPjpX2Bc",
    "run_id": "NG2Qal7RGDxAydnks"
  }
]

Use Cases

• Market Research: Analyze customer feedback to identify trends and preferences in product categories.
• Competitive Intelligence: Compare reviews across similar products to benchmark performance.
• Price Monitoring: Correlate ratings with pricing data for dynamic pricing strategies.
• Content Aggregation: Build datasets for sentiment analysis and natural language processing.
• Academic Research: Collect real-world data for studies on consumer behavior.
• Business Automation: Integrate review data into dashboards for automated reporting.

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 Actor outputs an array of JSON objects, each representing a single review. Key fields include:

• Tcin: Target's product identifier.
• Review_Id: Unique review ID.
• 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 name.
• Submitted_At and Modified_At: Timestamps in ISO format.
• Secondary_Ratings: Object with sub-ratings like Quality, Taste, and Value.
• actor_id and run_id: Metadata from the Apify run.

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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