Target Qanda Spider

The Target Qanda Spider is an Apify Actor designed to scrape questions and answers (Q&A) from Target.com product pages. It extracts detailed Q&A data, including user questions, answers from customers and brands, feedback metrics, and timestamps, enabling users to gather valuable insights into product discussions. This tool is ideal for e-commerce analysis, customer sentiment tracking, and competitive research.

Features

• Comprehensive Q&A Extraction: Scrapes all questions, answers, author details, and feedback for specified Target product URLs.
• High Data Accuracy: Captures precise timestamps, unique IDs, and author badges to ensure reliable and structured data.
• Scalable Performance: Handles multiple product URLs efficiently, with built-in error handling for robust scraping.
• JSON Output: Delivers clean, structured JSON data ready for integration into databases or analysis tools.
• No API Keys Required: Operates directly on Target's public pages without needing authentication.
• Customizable Inputs: Accepts a list of product URLs for targeted scraping.
• Real-Time Insights: Extracts the latest Q&A data, including modifications and helpfulness votes.

Input Parameters

Parameter	Type	Required	Description	Example
ProductUrls	array	Yes	An array of Target product URLs to scrape Q&A from. Must be valid HTTP/HTTPS URLs.	["https://www.target.com/p/babyganics-sheer-blend-spf-50-mineral-sunscreen-3-fl-oz/-/A-89604798"]

Example Usage

Input Configuration

{
  "ProductUrls": [
    "https://www.target.com/p/babyganics-sheer-blend-spf-50-mineral-sunscreen-3-fl-oz/-/A-89604798"
  ]
}

Output Example

[
  {
    "Tcin": "89604798",
    "Question_Id": "46ecd689-bd49-4d0d-94f3-db127f7a1cf8",
    "External_Id": "c45e0032-c7b2-53da-b14d-e02da2a3dd2a",
    "Question_Text": "Will this clog my pores and cause acne ?",
    "Question_Author": "Hihi224",
    "Question_Feedback": {
      "helpful": 0,
      "unhelpful": 0
    },
    "Question_Submitted_At": "2025-06-03T19:41:37.411Z",
    "Question_Modified_At": "2025-08-22T09:04:37.326Z",
    "Answers": [
      {
        "Answer_Id": "7f3b471c-ccf3-448d-ac2d-c854beb135cb",
        "Answer_External_Id": "31bd1b42-d67a-5e3f-b0f8-019a40fe312d",
        "Answer_Text": "I\u2019ve been using it on my face and neck for months now with no issues.",
        "Answer_Author": "Rachel",
        "Answer_Feedback": {
          "helpful": 0,
          "unhelpful": 0
        },
        "Answer_Submitted_At": "2025-07-26T16:12:48.755Z",
        "Answer_Modified_At": "2026-01-01T04:09:46.910Z",
        "Author_Badges": []
      }
    ],
    "actor_id": "hnubvEmCUTcebb7eR",
    "run_id": "Uf5YdoVXVeKmxecY9"
  },
  {
    "Tcin": "89604798",
    "Question_Id": "fe8f0811-2e74-4c3f-9ba0-651965e1651c",
    "External_Id": "1afd9d7a-f13c-591a-8c20-51caf45960e3",
    "Question_Text": "Is this suitable for bby under 1 year old?",
    "Question_Author": "Mia",
    "Question_Feedback": {
      "helpful": 0,
      "unhelpful": 0
    },
    "Question_Submitted_At": "2025-04-09T17:51:53.515Z",
    "Question_Modified_At": "2025-08-22T09:00:04.359Z",
    "Answers": [
      {
        "Answer_Id": "2905da21-58e3-4710-97da-699da914f129",
        "Answer_External_Id": "ca805c43-af3d-5b5f-b4fa-91b57d7fdecf",
        "Answer_Text": "Great question, Mia! We\u2019ve got you covered, babyganics\u00ae sheer blend mineral sunscreen can be used on children 6 months and up. We'd love to help you get baby sun-ready! \u2013 Mindi, babyganics consumer care",
        "Answer_Author": "Babyganics Team",
        "Answer_Feedback": {
          "helpful": 0,
          "unhelpful": 0
        },
        "Answer_Submitted_At": "2025-07-29T19:40:31Z",
        "Answer_Modified_At": "2026-01-28T04:06:31.610Z",
        "Author_Badges": [
          "BRAND_EXPERT"
        ]
      }
    ],
    "actor_id": "hnubvEmCUTcebb7eR",
    "run_id": "Uf5YdoVXVeKmxecY9"
  },
  {
    "Tcin": "89604798",
    "Question_Id": "2f035d74-aff2-4eb5-a458-0624808101d7",
    "External_Id": "7075df39-ee13-5bf0-9ff8-b496441d3895",
    "Question_Text": "Can you wear on face",
    "Question_Author": "Cori",
    "Question_Feedback": {
      "helpful": 0,
      "unhelpful": 0
    },
    "Question_Submitted_At": "2025-05-13T12:48:54.834Z",
    "Question_Modified_At": "2025-08-22T09:02:31.204Z",
    "Answers": [
      {
        "Answer_Id": "f6b862a3-c6d1-4abc-a522-afcda49f03c8",
        "Answer_External_Id": "b7065813-8c85-598f-9adc-08a9632840f8",
        "Answer_Text": "Yes! This was recommended to me by my esthetician. It has helped the melasma in my face so much. I mix it with my moisturizer then let it dry for a few minutes before putting on my primer and makeup.",
        "Answer_Author": "Rachel",
        "Answer_Feedback": {
          "helpful": 0,
          "unhelpful": 0
        },
        "Answer_Submitted_At": "2025-07-26T16:12:18.469Z",
        "Answer_Modified_At": "2025-08-22T07:57:37.698Z",
        "Author_Badges": []
      }
    ],
    "actor_id": "hnubvEmCUTcebb7eR",
    "run_id": "Uf5YdoVXVeKmxecY9"
  }
]

Use Cases

• Market Research: Analyze customer questions to identify trends and product pain points.
• Competitive Intelligence: Compare Q&A across similar products to gauge market positioning.
• Customer Sentiment Analysis: Track feedback on answers to understand brand perception.
• Content Aggregation: Collect Q&A for blog posts or review compilations.
• Academic Research: Study consumer behavior in e-commerce discussions.
• Business Automation: Integrate data into dashboards for automated reporting on product inquiries.

Installation and Usage

1. Search for "Target Qanda 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 question and its associated answers. Key fields include:

• Tcin: Target's product identifier.
• Question_Id and External_Id: Unique identifiers for the question.
• Question_Text, Question_Author, Question_Feedback: Details of the question, author, and helpfulness votes.
• Question_Submitted_At and Question_Modified_At: Timestamps for submission and last modification.
• Answers: An array of answer objects, each with Answer_Id, Answer_Text, Answer_Author, Answer_Feedback, timestamps, and Author_Badges (e.g., "BRAND_EXPERT").
• actor_id and run_id: Metadata from the Apify run.

Data is structured for easy parsing and analysis.

Error Handling

The Actor includes built-in error handling for invalid URLs, network issues, or page changes. Check the run logs for details on failures. If a URL is inaccessible, it will be skipped with a warning.

Rate Limiting and Best Practices

Target may impose rate limits; run the Actor during off-peak hours to avoid blocks. Limit to 10-20 URLs per run for optimal performance. Use proxies if needed for large-scale scraping. Always respect Target's terms of service.

Limitations

• Only scrapes Q&A sections from valid Target product pages.
• Does not extract reviews or other page elements.
• Dependent on Target's site structure; updates may require Actor maintenance.

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!

---