Metadata-Version: 2.1
Name: zapimoveis-scraper
Version: 0.3.0
Summary: zapimoveis-scraper is a Python package that works as a crawler and scraper using beautifulsoup4 to get data from zap imoveis
Home-page: https://github.com/GeovRodri/zapimoveis-scraper
Author: Geovany Rodrigues
Author-email: geovanyscv@gmail.com
License: UNKNOWN
Description: # Zap Imoveis Scraper
        
        zapimoveis-scraper is a Python package that works as a crawler and scraper using beautifulsoup4 to get data from [zap imóveis](https://zapimoveis.com.br).
        
        
        ### Installation
        
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install zapimoveis-scraper.
        ```bash
            pip install zapimoveis_scraper
        ```
        
        ### Usage 
        
        ```python
        import zapimoveis_scraper as zap
        
        # returns a list with objects containing scraped data
        zap.search(localization="go+goiania++setor-oeste", num_pages=5) 
        ```
        
        #### Available search parameters:
        * localization (string): location in which the search will be performed
          * default: 'go+goiania++setor-marista'
          * The search string is available on the search url of zap imóveis. Eg: https://www.zapimoveis.com.br/aluguel/imoveis/rj+rio-de-janeiro+ilha-do-governador+cacuia/
        * num\_pages (int): Number of pages to scrape
          * default: 1
        * acao (string): type of contract. Possible values: 'venda', 'aluguel', 'lancamentos'
          * default: 'aluguel'
        * tipo (string): type of property. Possible values: 'imoveis', 'apartamentos', 'casas'
          * default: 'casas'
        * dictionaty\_out (boolean): Specifies the method output (list of objects or dictionary)
          * default: False
        
        #### Scraped attributes:
        The objects returned from `search` contain the following attributes:
        * description: property description
        * price: property price (monthly)
        * bedrooms: number of bedrooms on property
        * bathrooms: number of bathrooms on property
        * total\_area\_m2: property area (square meters)
        * vacancies: parking spots available on property
        * address: property address
        * link: link of the property
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Environment :: Console
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires: beautifulsoup4
Provides: zapimoveis_scraper
Description-Content-Type: text/markdown
