The Peppermayo Review Scraper collects detailed customer review data from Peppermayo product pages. It helps businesses, analysts, and researchers understand customer sentiment, product performance, and buying behavior through structured review insights.
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This project extracts customer reviews from Peppermayo product pages and converts them into clean, structured datasets. It solves the challenge of manually collecting large volumes of review data by automating extraction at scale. It is built for analysts, e-commerce teams, marketers, and researchers who rely on review-driven insights.
- Extracts verified and non-verified customer reviews with full metadata
- Supports batch processing of multiple product URLs
- Outputs structured data ready for analytics pipelines
- Handles dynamic review sections reliably
- Designed for scalable review data collection
| Feature | Description |
|---|---|
| Detailed Review Extraction | Captures ratings, titles, review text, reviewer names, and verification status |
| Structured Output | Provides clean, analysis-ready JSON records |
| Batch URL Support | Processes multiple product pages in a single run |
| Image Capture | Extracts associated product image URLs |
| Resilient Scraping | Maintains stability on dynamic review layouts |
| Field Name | Field Description |
|---|---|
| review_id | Unique identifier for each review |
| product_name | Name of the reviewed product |
| rating | Star rating given by the reviewer |
| review_title | Short headline of the review |
| review_body | Full textual content of the review |
| reviewer_name | Display name of the reviewer |
| is_verified | Indicates whether the purchase was verified |
| date_created | Timestamp when the review was published |
| product_url | URL of the reviewed product |
| product_image_url | Image URL of the reviewed product |
[
{
"review_id": "59e9fb1a-81c8-4902-9091-a3c4c8b609a1",
"product_name": "Willow Chiffon Mini Dress - Yellow",
"rating": 5,
"review_title": "Really really prettyyyy",
"review_body": "Fits good and is exactly like the picture!",
"reviewer_name": "Liyah Y.",
"is_verified": true,
"date_created": "2025-04-27T20:21:20.581Z",
"product_url": "https://peppermayo.com/products/willow-chiffon-mini-dress-yellow",
"product_image_url": "https://cdn.shopify.com/s/files/1/0498/7800/7976/files/Willow-Chiffon-Mini-Dress-Yellow-4-Peppermayojpg_x280.jpg?v=1738806435"
},
{
"review_id": "5880de08-d021-4e98-9dc8-b4b55ad7f812",
"product_name": "Willow Chiffon Mini Dress - Yellow",
"rating": 5,
"review_title": "Amazing",
"review_body": "The dress is so stunning and the open back adds the perfect sexy touch.",
"reviewer_name": "Rachel",
"is_verified": true,
"date_created": "2025-04-26T01:30:05.881Z",
"product_url": "https://peppermayo.com/products/willow-chiffon-mini-dress-yellow",
"product_image_url": "https://cdn.shopify.com/s/files/1/0498/7800/7976/files/Willow-Chiffon-Mini-Dress-Yellow-4-Peppermayojpg_x280.jpg?v=1738806435"
}
]
Peppermayo Review Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── review_parser.py
│ │ └── product_loader.py
│ ├── utils/
│ │ └── validators.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- E-commerce analysts use it to study review sentiment so they can improve product positioning.
- Marketing teams use it to identify recurring feedback themes to refine campaigns.
- Product managers use it to detect quality issues early and optimize designs.
- Researchers use it to analyze consumer preferences across fashion items.
- Retail strategists use it to benchmark product performance against competitors.
Does this scraper support multiple product URLs at once? Yes, it supports batch processing, allowing multiple product pages to be analyzed in a single run.
Is reviewer verification information included? Yes, each review clearly indicates whether it was posted by a verified purchaser.
Can the output be used directly in analytics tools? The structured JSON format is designed for seamless integration with BI tools, databases, and data pipelines.
Does it capture review timestamps accurately? Yes, each review includes a precise creation timestamp for time-based analysis.
Primary Metric: Processes up to 120–150 reviews per minute depending on page size and content density.
Reliability Metric: Maintains a success rate above 98% across dynamic product pages.
Efficiency Metric: Optimized data extraction minimizes redundant page interactions and resource usage.
Quality Metric: Delivers complete review records with consistent field accuracy across runs.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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