Metadata-Version: 2.1
Name: daftlistings
Version: 1.7.1
Summary: A library that enables programmatic interaction with daft.ie. Daft.ie has nationwide coverage and contains about 80% of the total available properties in Ireland.
Home-page: https://github.com/AnthonyBloomer/daftlistings
Author: Anthony Bloomer
Author-email: ant0@protonmail.ch
License: MIT
Keywords: daft,web scraping,real estate,web scraper,daft.ie
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: beautifulsoup4
Requires-Dist: enum34
Requires-Dist: requests

Daftlistings
============

|Build Status| |codecov|

A library that enables programmatic interaction with
`Daft.ie <https://daft.ie>`__. Daft.ie has nationwide coverage and
contains about 80% of the total available properties in Ireland.

Installation
------------

Daftlistings is available on the `Python Package Index
(PyPI) <https://pypi.org/project/daftlistings/>`__. You can install
daftlistings using pip.

.. code:: bash

   virtualenv env
   source env/bin/activate
   pip install daftlistings

To install the development version, run:

.. code:: bash

   pip install https://github.com/AnthonyBloomer/daftlistings/archive/dev.zip

Usage
-----

.. code:: python

   from daftlistings import Daft

   daft = Daft()
   listings = daft.search()

   for listing in listings:
       print(listing.formalised_address)
       print(listing.daft_link)
       print(listing.price)

Examples
~~~~~~~~

Get apartments to let in Dublin City that are between €1000 and €1500
and contact the advertiser of each listing.

.. code:: python

   from daftlistings import Daft, RentType

   daft = Daft()

   daft.set_county("Dublin City")
   daft.set_listing_type(RentType.APARTMENTS)
   daft.set_min_price(1000)
   daft.set_max_price(1500)

   listings = daft.search()

   if len(listings) > 0:
       first = listings[0]

       contact = first.contact_advertiser(
           name="Jane Doe",
           contact_number="019202222",
           email="jane@example.com",
           message="Hi, I seen your listing on daft.ie and I would like to schedule a viewing."
       )

       if contact:
           print("Advertiser contacted")

You can sort the listings by price, distance, upcoming viewing or date
using the SortType object. The SortOrder object allows you to sort the
listings descending or ascending.

.. code:: python


   from daftlistings import Daft, SortOrder, SortType, RentType

   daft = Daft()

   daft.set_county("Dublin City")
   daft.set_listing_type(RentType.ANY)
   daft.set_sort_order(SortOrder.ASCENDING)
   daft.set_sort_by(SortType.PRICE)
   daft.set_max_price(2500)

   listings = daft.search()

   for listing in listings:
       print(listing.formalised_address)
       print(listing.daft_link)
       print(listing.price)
       features = listing.features
       if features is not None:
           print('Features: ')
           for feature in features:
               print(feature)
       print("")

Parse listing data from a given search result url.

.. code:: python


   from daftlistings import Daft

   offset = 0

   while 1:
       daft = Daft()
       daft.set_result_url("https://www.daft.ie/dublin-city/new-homes-for-sale/?ad_type=new_development")
       daft.set_offset(offset)
       listings = daft.search()
       if not listings:
           break
       for listing in listings:
           print(listing.formalised_address)
           print(listing.price)
           print(' ')
       offset += 10

Find student accommodation near UCD that is between 850 and 1000 per
month

.. code:: python

   from daftlistings import Daft, SortOrder, SortType, RentType, University, StudentAccommodationType

   daft = Daft()
   daft.set_listing_type(RentType.STUDENT_ACCOMMODATION)
   daft.set_university(University.UCD)
   daft.set_student_accommodation_type(StudentAccommodationType.ROOMS_TO_SHARE)
   daft.set_min_price(850)
   daft.set_max_price(1000)
   daft.set_sort_by(SortType.PRICE)
   daft.set_sort_order(SortOrder.ASCENDING)
   daft.set_offset(offset)
   listings = daft.search()

   for listing in listings:
       print(listing.price)
       print(listing.formalised_address)
       print(listing.daft_link)

For more examples, check the `Examples
folder <https://github.com/AnthonyBloomer/daftlistings/tree/dev/examples>`__

Tests
-----

The Python unittest module contains its own test discovery function,
which you can run from the command line:

::

    python -m unittest discover tests/

Contributing
------------

-  Fork the project and clone locally.
-  Create a new branch for what you’re going to work on.
-  Push to your origin repository.
-  Create a new pull request in GitHub.

.. |Build Status| image:: https://travis-ci.org/AnthonyBloomer/daftlistings.svg?branch=dev
   :target: https://travis-ci.org/AnthonyBloomer/daftlistings
.. |codecov| image:: https://codecov.io/gh/AnthonyBloomer/daftlistings/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/AnthonyBloomer/daftlistings


