Metadata-Version: 1.1
Name: daftlistings
Version: 0.9
Summary: A web scraper for Daft.ie
Home-page: https://github.com/AnthonyBloomer/daftlistings
Author: Anthony Bloomer
Author-email: ant0@protonmail.ch
License: MIT
Description: daftlistings
        ============
        
        A web scraper that enables programmatic interaction with daft.ie. Tested on Python 2.7 and Python 3.5.2
        
        Install
        -------
        
        ::
        
            pip install daftlistings
        
        Developing Locally
        ------------------
        
        ::
        
            git clone https://github.com/AnthonyBloomer/daftlistings.git
            cd daftlistings
            virtualenv env
            source env/bin/activate
            pip install -r requirements.txt
        
        Examples
        --------
        
        Get the current properties for rent in Dublin that are between €1000 and
        €1500 per month.
        
        .. code:: python
        
            from daftlistings import Daft, CommercialType, SaleType, RentType
        
            d = Daft()
        
            listings = d.get_listings(
                county='Dublin City',
                area='Dublin 15',
                listing_type=RentType.APARTMENTS,
                min_price=1000,
                max_price=1500,
                sale_type='rent'
            )
        
            for listing in listings:
                print(listing.get_formalised_address())
                print(listing.get_daft_link())
        
        Retrieve commercial office listings in Dublin.
        
        .. code:: python
        
            listings = daft.get_listings(
                county='Dublin',
                listing_type=SaleType.COMMERCIAL,
                commercial_property_type=CommercialType.OFFICE
            )
        
            for listing in listings:
                print(listing.get_formalised_address())
                print(listing.get_daft_link())
        
        
        Get the current sale agreed prices for properties in Dublin.
        
        .. code:: python
        
            listings = d.get_listings(
                county='Dublin City',
                area='Dublin 15',
                listing_type=SaleType.PROPERTIES,
                sale_agreed=True,
                min_price=200000,
                max_price=250000
            )
        
            for listing in listings:
                print(listing.get_formalised_address())
                print(listing.get_daft_link())
        
        Retrieve all properties for sale in Dublin 15.
        
        .. code:: python
        
        
            from daftlistings import Daft
        
            d = Daft()
            offset = 0
            pages = True
        
            while pages:
        
                listings = d.get_listings(
                    county='Dublin City',
                    area='Dublin 15',
                    offset=offset,
                    listing_type=SaleType.PROPERTIES
                )
        
                if not listings:
                    pages = False
        
                for listing in listings:
                    print(listing.get_agent_url())
                    print(listing.get_price())
                    print(listing.get_formalised_address())
                    print(listing.get_daft_link())
                    print(' ')
        
        
                offset += 10
        
        
        Full Documentation
        ------------------
        
        https://anthonybloomer.github.io/daftlistings/
        
Keywords: daft,web scraping
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python :: 2.7
