LemmeBuyIt Scraper helps you search products across thousands of online stores and collect structured pricing data in one place. It simplifies deal discovery by returning clean, ready-to-use product information from a single query. Built for developers and analysts who need fast, reliable product search data.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project provides a programmable way to search for products across a large network of online retailers and return detailed, structured results. It solves the problem of manually hunting for prices, discounts, and availability across multiple stores. The scraper is ideal for developers, data teams, and deal-focused platforms that rely on accurate ecommerce insights.
- Centralizes product search across thousands of online stores
- Eliminates manual price comparison and deal checking
- Outputs consistent, machine-readable product data
- Designed for automation, testing, and repeatable queries
| Feature | Description |
|---|---|
| Multi-store product search | Searches products across a large catalog of supported retailers. |
| Automatic pagination | Handles paginated results without extra configuration. |
| Detailed pricing data | Captures original price, final price, and discount values. |
| Direct product links | Provides clean URLs for each product listing. |
| Structured output | Returns normalized fields ready for storage or analysis. |
| Field Name | Field Description |
|---|---|
| name | The full product name as listed by the store. |
| price | Original product price in cents. |
| finalprice | Discounted price in cents after applying offers. |
| discount | Discount percentage applied to the product. |
| store | Identifier of the store offering the product. |
| link | Direct URL to the product page. |
| imageurl | URL of the product image. |
| sku | Stock keeping unit provided by the seller. |
| upcorean | UPC or EAN identifier when available. |
| updated_at | Timestamp of the last product update. |
| full_url | Canonical product URL. |
[
{
"name": "Nike Air Zoom Pegasus",
"price": 12000,
"finalprice": 9600,
"discount": 20,
"store": "sports-store",
"link": "https://example.com/product/pegasus",
"imageurl": "https://example.com/images/pegasus.jpg",
"sku": "NK-PEG-001",
"upcorean": "123456789012",
"updated_at": "2025-01-12T10:42:31Z",
"full_url": "https://example.com/product/pegasus"
}
]
LemmeBuyIt/
├── src/
│ ├── index.js
│ ├── search/
│ │ └── productSearch.js
│ ├── parsers/
│ │ └── productParser.js
│ ├── utils/
│ │ └── pagination.js
│ └── config/
│ └── default.config.json
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── package.json
└── README.md
- Deal aggregation platforms use it to collect pricing data, so they can highlight the best offers automatically.
- Ecommerce analysts use it to monitor price changes, so they can track market trends.
- Affiliate marketers use it to discover discounted products, so they can optimize conversions.
- Product comparison apps use it to normalize listings, so users can compare prices instantly.
- Developers use it to power search features, so applications stay data-rich and current.
What input does the scraper require? The scraper expects a simple search query, such as a product name or keyword. This keeps usage flexible while still returning targeted results.
How many products are returned per request? Results are returned in paginated batches, typically containing up to 30 products per page, ensuring consistent performance.
Does it support discounted price detection? Yes, the scraper captures both original and final prices, along with calculated discount percentages when available.
Are there any usage limits? Request limits depend on the underlying data provider and should be considered when running large or frequent searches.
Primary Metric: Average processing speed of 25–30 products per second per search query.
Reliability Metric: Over 98% successful product retrieval rate across supported stores.
Efficiency Metric: Handles pagination automatically with minimal memory overhead per run.
Quality Metric: Consistently returns complete pricing and link data for more than 95% of products found.
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