This is a web scraper, using Python framework Scrapy, built to extract data from the Deals of the Day section on Mercado Livre website.

Overview

deal imagemDeals of the Day

python imagem scrapy imagem Bitbucket open pull requests GitHub code size in bytes GitHub language count GitHub watchers

This is a web scraper, using the Python framework Scrapy, built to extract data such as price and product name from the Deals of the Day section on Mercado Livre website.

ml imagem

wcrwl imagem What Data Do We Want to Scrape?

  • Product Name
  • Original Price
  • Current Price
  • Product Url
  • Data Extraction Date

Note: The scraper handles pagination and extracts the aforementioned data throughout the entire Deals of the Day section.

💻 Requirements

Before you start, please check if you have met these few basic requirements:

  • Installed the latest stable python version (Python 3.7 or later).
  • Created a virtual enviroment to run the ScraPy framework on your machine.
  • Installed Scrapy 1.6 or a later stable version.
  • Note: It is strongly recommended that you install Scrapy in a dedicated virtualenv, to avoid conflicting with your system packages.

Getting Started

From terminal

  1. Create an Enviroment:
mkdir virtual-enviroments
$ cd virtual-enviroments
$ python3 -m venv venv
  1. Activate it:
    Linux/macOS
$ source venv/bin/activate
  1. Install the Scrapy framework:
$ pip install Scrapy

🚀 How to Use:

Clone this repository into your workspace:

$ git clone https://github.com/david-adds/mercadolivre-scraper.git

Once you have cloned the repository, open it up so you can run the scraper.

$ cd mercadolivre-scraper

Then, run the spider to scrape the data:

$ scrapy crawl deals
UP
Owner
David Souza
David Souza
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