Kabum Scraper is a focused data extraction tool that collects structured product information from Kabum, one of Brazil’s largest e-commerce platforms. It helps teams turn raw product pages into usable datasets for pricing, inventory, and market insights. Built for reliability and scale, it supports consistent data collection across categories.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts product data from Kabum pages and converts it into clean, structured output ready for analysis. It solves the problem of manually tracking prices, availability, and product changes across a large marketplace. It’s designed for analysts, developers, and businesses that need dependable Kabum data at scale.
- Collects product listings and pricing from Kabum pages
- Supports search and direct product URL inputs
- Outputs structured, machine-readable data
- Designed for repeatable and large-scale runs
| Feature | Description |
|---|---|
| Product scraping | Extracts titles, prices, URLs, and identifiers from Kabum product pages. |
| Price tracking | Captures current and previous prices for change analysis. |
| Flexible inputs | Works with search result pages or individual product URLs. |
| Structured output | Returns clean JSON-ready data for easy integration. |
| Scalable execution | Handles high request volumes efficiently. |
| Field Name | Field Description |
|---|---|
| type | Indicates the record type, such as product. |
| id | Unique product identifier from Kabum. |
| url | Direct link to the product page. |
| title | Full product name as listed on Kabum. |
| price | Current product price. |
| old_price | Previous or discounted price when available. |
| price_text | Additional pricing or payment details. |
[
{
"type": "product",
"id": "99428",
"url": "https://www.kabum.com.br/produto/99428/memoria-ram-rise-mode-4gb-1600mhz-ddr3-cl11-rm-d3-4g1600v",
"title": "Memória RAM Rise Mode, 4GB, 1600MHz, DDR3, CL11 - RM-D3-4G1600V",
"price": "R$ 34,99",
"old_price": "R$ 47,05",
"price_text": "À vista no PIX ou até 1x de R$ 37,04"
}
]
Kabum Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── product_parser.py
│ │ └── price_utils.py
│ ├── outputs/
│ │ └── exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── sample_output.json
├── requirements.txt
└── README.md
- Market analysts use it to monitor product pricing, so they can identify trends and shifts in demand.
- E-commerce teams use it to track competitor listings, so they can adjust pricing strategies faster.
- Retail operators use it to watch availability changes, so they can plan inventory more accurately.
- Developers use it to feed dashboards and tools, so stakeholders get up-to-date product data.
Can I scrape both search results and product pages? Yes, the scraper supports search result URLs as well as direct product links, allowing flexible data collection.
What output format does it generate? The data is structured in a clean JSON format, making it easy to store, analyze, or integrate into other systems.
Is this suitable for large-scale scraping? It’s built to handle high request volumes efficiently, as long as reasonable limits and configurations are used.
Does it capture discounted prices? Yes, when available, both current and old prices are included for comparison.
Primary Metric: Processes an average of 100 product pages in under one minute on a standard configuration.
Reliability Metric: Maintains a successful extraction rate above 98% across stable product pages.
Efficiency Metric: Optimized requests keep data costs low while sustaining steady throughput.
Quality Metric: Extracted datasets consistently include complete pricing and identification fields suitable for analysis.
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