Extracts detailed product reviews and ratings directly from Target.com, allowing developers and analysts to easily collect and analyze customer feedback at scale. This scraper delivers structured review data with ratings, comments, and quality metrics for each product.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project automates the extraction of Target product reviews into structured JSON data. It helps eCommerce analysts, data scientists, and marketers monitor product performance and customer sentiment. Ideal for competitive analysis, product feedback tracking, and sentiment-driven insights.
- Automatically gathers all customer reviews from Target product pages.
- Captures ratings, recommendations, and category-specific metrics.
- Outputs clean JSON data ready for analytics or database import.
- Saves hours of manual data collection.
- Helps identify customer satisfaction trends.
| Feature | Description |
|---|---|
| Full Product Review Extraction | Collects all reviews for a given Target product including text, title, and ratings. |
| Rating Distribution Analysis | Retrieves 1–5 star distribution for accurate product sentiment overview. |
| Verified Purchase Detection | Identifies which reviews come from verified buyers. |
| Secondary Ratings Capture | Extracts detailed aspects like comfort, quality, sizing, and style ratings. |
| JSON Output | Provides machine-readable, structured JSON ready for analytics or database storage. |
| Field Name | Field Description |
|---|---|
| Product URL | The full product link on Target.com. |
| Product ID | Unique numeric identifier for the product. |
| Review Count | Total number of reviews collected. |
| Recommended Count | Number of users recommending the product. |
| Not Recommended Count | Number of users not recommending the product. |
| Rating Distribution | Count of each rating (1–5 stars). |
| Average Rating | Computed average rating score. |
| Positive Percentage | Overall positive sentiment percentage. |
| Secondary Averages | Averages for comfort, quality, sizing, and style. |
| Review ID | Unique identifier for each review. |
| Rating | Review-specific rating (1–5). |
| Title | Title of the review. |
| Text | Full review text written by the customer. |
| Submitted Date | Timestamp of when the review was posted. |
| Helpful Votes | Number of users who found the review helpful. |
| Unhelpful Votes | Number of users who found the review unhelpful. |
| Author Nickname | Username or alias of the reviewer. |
| Photos | Attached photo URLs if available. |
| Is Incentivized | Whether the review was rewarded or sponsored. |
| Is Verified | Indicates if the reviewer is a verified buyer. |
| Client Responses | Brand responses or replies to the review. |
| Secondary Ratings | Category-based ratings (comfort, quality, etc.). |
[
{
"Product URL": "https://www.target.com/p/boys-short-sleeve-performance-uniform-polo-shirt-cat-jack-black/-/A-90171336",
"Product ID": "90171336",
"Review Count": 54,
"Recommended Count": 44,
"Not Recommended Count": 8,
"Rating Distribution": { "1": 12, "2": 6, "3": 16, "4": 29, "5": 282 },
"Average Rating": 4.64,
"Positive Percentage": 94,
"Secondary Averages": [
{ "Label": "comfort", "Value": 4.78 },
{ "Label": "quality", "Value": 4.39 },
{ "Label": "sizing", "Value": 1.82 },
{ "Label": "style", "Value": 4.76 }
]
},
{
"Product URL": "https://www.target.com/p/boys-short-sleeve-performance-uniform-polo-shirt-cat-jack-black/-/A-90171336",
"Product ID": "90171336",
"Review ID": "ad56beba-eb2b-409b-8b0f-1328f5100261",
"Rating": 1,
"Title": "Old clothes",
"Text": "Color is completely faded",
"Submitted Date": "2025-08-03T21:56:08.000+00:00",
"Helpful Votes": 0,
"Unhelpful Votes": 0,
"Author Nickname": "Old faded clothes",
"Is Incentivized": false,
"Is Verified": true,
"Secondary Ratings": [
{ "Label": "comfort", "Value": 4 },
{ "Label": "quality", "Value": 1 },
{ "Label": "sizing", "Value": 2 },
{ "Label": "style", "Value": 2 }
]
}
]
target-product-reviews-scraper/
├── src/
│ ├── main.py
│ ├── extractors/
│ │ ├── target_parser.py
│ │ └── review_utils.py
│ ├── outputs/
│ │ └── json_exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.txt
│ └── sample_output.json
├── docs/
│ └── README.md
├── requirements.txt
├── LICENSE
└── README.md
- E-commerce analysts use it to track product performance and sentiment for optimization.
- Data scientists integrate it into pipelines for customer sentiment modeling.
- Marketing teams monitor customer feedback trends to improve brand messaging.
- Retail consultants compare Target reviews against competitors for pricing and quality insights.
- Academic researchers analyze consumer behavior and product satisfaction metrics.
Q1: Do I need product URLs to run the scraper? Yes — you must provide the full product URL from Target.com for accurate data retrieval.
Q2: Can it scrape multiple products at once? Yes, you can input a list of product URLs and the scraper will process them sequentially.
Q3: Does it support paginated reviews? Absolutely. It automatically crawls through all review pages until completion.
Q4: What format is the data saved in? All extracted data is saved as structured JSON files, easily importable into databases or dashboards.
- Primary Metric: Averages ~150 reviews scraped per minute on a stable connection.
- Reliability Metric: 98% success rate across multiple product categories.
- Efficiency Metric: Uses lightweight request management for minimal bandwidth consumption.
- Quality Metric: Produces 99% accurate structured JSON data with clean field mapping.
“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington
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“Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on.” Eliza
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“Exceptional results, clear communication, and flawless delivery. Bitbash nailed it.” Syed
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