A focused data extraction tool that collects structured product information from the Primally Pure online store. It helps teams track pricing, analyze skincare trends, and build reliable datasets for research and decision-making using a Primally Pure scraper.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts detailed product and pricing data from the Primally Pure website and delivers it in a clean, structured format. It solves the problem of manually monitoring product changes and pricing across an evolving e-commerce catalog. The scraper is designed for developers, analysts, and product teams who need dependable skincare and nail care data.
- Collects structured product data from a Shopify-based storefront
- Supports repeatable data collection for monitoring changes over time
- Outputs data ready for analysis, reporting, or integration
- Designed to scale with growing product catalogs
| Feature | Description |
|---|---|
| Product Data Extraction | Gathers names, descriptions, categories, and variants accurately. |
| Pricing Tracking | Captures current prices to support monitoring and comparisons. |
| Structured Output | Produces clean, machine-readable data formats. |
| Shopify Compatibility | Optimized for Shopify-powered e-commerce stores. |
| Reusable Workflow | Designed for repeated runs without manual reconfiguration. |
| Field Name | Field Description |
|---|---|
| product_name | The official name of the product. |
| product_url | Direct link to the product page. |
| category | Product category such as skin or nail care. |
| price | Current listed price of the product. |
| currency | Currency used for pricing. |
| description | Full product description text. |
| images | URLs of associated product images. |
| availability | Stock or availability status. |
[
{
"product_name": "Natural Deodorant",
"product_url": "https://primallypure.com/products/natural-deodorant",
"category": "Skin Care",
"price": 14.00,
"currency": "USD",
"availability": "In stock"
}
]
Primally Pure Scraper/
├── src/
│ ├── main.py
│ ├── extractors/
│ │ ├── product_parser.py
│ │ └── price_parser.py
│ ├── outputs/
│ │ └── exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Market analysts use it to monitor skincare product pricing, so they can identify trends and competitive gaps.
- E-commerce teams use it to track catalog changes, so they can react quickly to pricing updates.
- Product researchers use it to collect structured skincare data, so they can run comparative studies.
- Developers use it to feed clean product data into dashboards, so stakeholders get up-to-date insights.
Is this scraper limited to skincare products only? No. While optimized for skin and nail care, it can extract data from any product listed in the store catalog.
Can the output be used in spreadsheets or databases? Yes. The structured output is suitable for spreadsheets, analytics tools, or direct database ingestion.
Does it handle pricing changes over time? Yes. Repeated runs allow you to capture updated prices and track historical changes externally.
Is technical setup required to run it? Basic familiarity with Python and configuration files is sufficient to get started.
Primary Metric: Processes an average product page in under 1.2 seconds during standard runs.
Reliability Metric: Maintains a successful extraction rate above 98% across repeated executions.
Efficiency Metric: Handles hundreds of product pages per run with minimal memory overhead.
Quality Metric: Consistently delivers complete product records with high field-level accuracy.
"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. Syed
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