Only Natural Pet Scraper helps you collect structured product and pricing data from the Only Natural Pet online store. It turns messy e-commerce pages into clean, usable datasets so you can analyze trends, track products, and make smarter business decisions.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts product information from the Only Natural Pet store and converts it into structured data you can actually work with. It solves the problem of manually browsing and copying product details by automating the entire collection process. It’s built for developers, analysts, and product teams who need reliable pet food and supplies data at scale.
- Collects detailed product listings from a Shopify-based store
- Outputs clean, structured data ready for analysis or integration
- Designed for repeatable runs without manual intervention
- Suitable for research, monitoring, and reporting workflows
| Feature | Description |
|---|---|
| Product listing extraction | Captures product names, categories, and URLs accurately. |
| Price tracking | Extracts current prices to support comparison and monitoring. |
| Structured output | Returns data in consistent, machine-readable formats. |
| Scalable runs | Handles small tests or larger product catalogs smoothly. |
| Field Name | Field Description |
|---|---|
| product_id | Unique identifier for the product. |
| product_name | Name of the pet food or supply item. |
| category | Product category or collection. |
| price | Current listed price of the product. |
| availability | Stock status at the time of extraction. |
| product_url | Direct link to the product page. |
| image_url | Main product image URL. |
[
{
"product_id": "ONP-45231",
"product_name": "Organic Chicken Dog Food",
"category": "Dog Food",
"price": 34.99,
"availability": "In Stock",
"product_url": "https://onlynaturalpet.com/products/organic-chicken-dog-food",
"image_url": "https://cdn.onlynaturalpet.com/images/organic-chicken.jpg"
}
]
Only Natural Pet Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── product_collector.py
│ │ └── parser.py
│ ├── utils/
│ │ └── helpers.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Market analysts use it to monitor pet food pricing, so they can identify trends and shifts in the market.
- E-commerce teams use it to track competitor products, helping them adjust their own listings strategically.
- Product researchers use it to collect structured datasets, making comparisons faster and more reliable.
- Developers integrate the output into internal tools, enabling automated reporting and dashboards.
Is this scraper limited to pet food only? No. It extracts both pet food and pet supply products as long as they are listed in the store catalog.
Can I run it frequently for price monitoring? Yes. The scraper is designed for repeated runs and produces consistent output suitable for tracking changes over time.
Do I need advanced setup to use this project? Basic Python knowledge is enough. Configuration files allow you to control inputs without modifying core logic.
What formats can the data be used in? The structured output can be easily converted for use in spreadsheets, databases, or downstream applications.
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 full catalog runs.
Efficiency Metric: Handles hundreds of products per run with stable memory usage.
Quality Metric: Consistently delivers complete product records with accurate pricing and availability fields.
"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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