https://github.com/sofiasawczenko/meli_webscraping

https://github.com/sofiasawczenko/meli_webscraping

Last synced: about 1 year ago
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• Host: GitHub
• URL: https://github.com/sofiasawczenko/meli_webscraping
• Owner: sofiasawczenko
• Created: 2024-12-17T21:14:10.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-17T21:32:14.000Z (over 1 year ago)
• Last Synced: 2024-12-17T22:25:58.470Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          

## Web Scrapping Mercado Livre Marketplace

![image](https://github.com/user-attachments/assets/69232a35-2412-43b1-bc3d-93516d4c77ac)

The webscraping technique is a common practice in data analysis and can be a valuable tool for businesses and individuals looking to gather information from websites. The technique involves extracting structured and unstructured data from websites and storing that data for later use.

The webscraping process involves utilizing a variety of tools and technologies, including programming languages like Python, web scraping libraries like Beautiful Soup and Scrapy, and even automated web scraping platforms.

This technique is useful for a number of business applications, including competitor analysis, product price monitoring, market research, and trend tracking. By collecting data from multiple websites, it is possible to gain a broader view of the market, better understand competitors, and adjust your business strategies.

![image](https://github.com/user-attachments/assets/fc809fb2-8c27-4576-9147-df461b132ba1)

## Requirements

- **Python 3**

- **Bibliotecas Python**:

  - `BeautifulSoup`

  - `requests`

  - `pandas`

  - `datetime`

  

## Installation

Install my-project with npm

```bash

pip install beautifulsoup4 requests pandas

```

## Feedback

If you have any feedback, please reach out to me at sofiawko@gmail.com