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        "author": "Sanhe Hu",
        "author_email": "husanhe@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: MacOS",
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            "Programming Language :: Python",
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            "Programming Language :: Python :: 3.3",
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        "description": ".. image:: https://travis-ci.org/MacHu-GWU/crawl_trulia-project.svg?branch=master\r\n\r\n.. image:: https://img.shields.io/pypi/v/crawl_trulia.svg\r\n\r\n.. image:: https://img.shields.io/pypi/l/crawl_trulia.svg\r\n\r\n.. image:: https://img.shields.io/pypi/pyversions/crawl_trulia.svg\r\n\r\n\r\nWelcome to crawl_trulia Documentation\r\n===============================================================================\r\nThis is a small project provide url route, html parse tools to crawl www.trulia.com.\r\n\r\n\r\n**Quick Links**\r\n-------------------------------------------------------------------------------\r\n- `GitHub Homepage <https://github.com/MacHu-GWU/crawl_trulia-project>`_\r\n- `PyPI download <https://pypi.python.org/pypi/crawl_trulia>`_\r\n- `Install <install_>`_\r\n- `Issue submit and feature request <https://github.com/MacHu-GWU/crawl_trulia-project/issues>`_\r\n\r\n\r\n**Usage**\r\n-------------------------------------------------------------------------------\r\nA real example:\r\n\r\n.. code-block:: python\r\n\r\n    >>> from crawl_trulia.urlencoder import urlencoder\r\n    >>> from crawl_trulia.htmlparser import htmlparser\r\n    >>> from crawlib.spider import spider # install crawlib first\r\n\r\n    # use address, city and zipcode\r\n    >>> address = \"22 Yew Rd\"\r\n    >>> city = \"Baltimore\"\r\n    >>> zipcode = \"21221\"\r\n\r\n    >>> url = urlencoder.by_address_city_and_zipcode(address, city, zipcode)\r\n    >>> html = spider.get_html(url)\r\n    >>> house_detail_data = htmlparser.get_house_detail(html)\r\n    >>> house_detail_data\r\n    {\r\n        \"features\": {}, \r\n        \"public_records\": {\r\n            \"AC\": \"a/c\", \r\n            \"basement_type\": \"improved basement (finished)\", \r\n            \"bathroom\": 2, \r\n            \"build_year\": 1986, \r\n            \"county\": \"baltimore county\", \r\n            \"exterior_walls\": \"siding (alum/vinyl)\", \r\n            \"heating\": \"heat pump\", \r\n            \"lot_size\": 7505, \r\n            \"lot_size_unit\": \"sqft\", \r\n            \"partial_bathroom\": 1, \r\n            \"roof\": \"composition shingle\", \r\n            \"sqft\": 998\r\n        }\r\n    }\r\n\r\n    # usually combination of address and zipcode is enough\r\n    >>> address = \"2004 Birch Rd\"\r\n    >>> zipcode = \"21221\"\r\n\r\n    >>> url = urlencoder.by_address_and_zipcode(address, zipcode)\r\n    >>> html = spider.get_html(url)\r\n    >>> house_detail_data = htmlparser.get_house_detail(html)\r\n\r\n    \r\n.. _install:\r\n\r\nInstall\r\n-------------------------------------------------------------------------------\r\n\r\n``crawl_trulia`` is released on PyPI, so all you need is:\r\n\r\n.. code-block:: console\r\n\r\n    $ pip install crawl_trulia\r\n\r\nTo upgrade to latest version:\r\n\r\n.. code-block:: console\r\n\r\n    $ pip install --upgrade crawl_trulia",
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