{
    "info": {
        "author": "Scott Colby",
        "author_email": "scolby33@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: End Users/Desktop",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.5",
            "Topic :: Office/Business"
        ],
        "description": "address_extractor\n=================\nA script to extract US-style street addresses from a text file\n\n::\n\n    $ address_extractor\n    1600 Pennsylvania Ave NW, Washington, DC 20500 ^D\n    1 lines in input\n    ,1600 Pennsylvania Ave NW,Washington DC 20500\n    $ address_extractor -o output.csv input.csv\n    4361 lines in input\n    *snip*\n    11 lines unable to be parsed\n    $ ls\n    output.csv\n\n\n:code:`address_extractor` takes text or a text file containing address-like data, one address per line, and parses it into a uniform format with the `usaddress` package.\n\nInstallation\n------------\nThis package is available from PyPi via :code:`pip`::\n\n    pip install address_extractor\n    \nThis will install the module as well as the command-line script as :code:`address_extractor`.\n\nCommand-line Usage\n------------------\n\n::\n\n    address_extractor [-h] [-o OUTPUT] [--remove-post-zip] [input]\n\n    positional arguments:\n      input                 the input file. Defaults to stdin.\n\n    optional arguments:\n      -h, --help            show this help message and exit\n      -o OUTPUT, --output OUTPUT\n                            the output file. Defaults to stdout. \n      --remove-post-zip, -r\n                            when scanning the input lines, remove everything after\n                            a sequence of 5 digits followed by a comma. The\n                            parsing library used by this script chokes on\n                            addresses containing this kind of information, often a\n                            county name.\n\nLines that could not be parsed will be printed to :code:`STDERR`. They can be saved to a file with standard :code:`bash` redirection techniques:\n\n::\n\n    $ address_extractor -o good_addresses.csv has_some_bad_addresses.txt 2> bad_addresses.txt\n\nUsage as a Module\n-----------------\n:code:`address_extractor` can be used as a Python module:\n\n::\n\n    >>> import address_extractor\n    >>> address_extractor.main(input=input_file_object, output=output_file_object, remove_post_zip=a_bool)\n\nThere are some small issues with this implementation:\n\n* If using :code:`sys.stdin` or :code:`sys.stdout` for input or output, respectively, the file objects will still be closed. This presents issues trying to use these in the future.\n* Errored lines are still printed to :code:`sys.stderr` which may not be expected.\n\nVersions and Stability\n----------------------\nThis package is uploaded as a 0.1.0 release. There are no tests and little error checking--it originated as a quick-'n-dirty script and I decided to release it as a package to gain familiarity with that process.\n\nIssues, comments, and pull requests are welcome at the GitHub page!\n",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/scolby33/address_extractor",
        "keywords": "addresses,mailing",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "address_extractor",
        "package_url": "https://pypi.org/project/address_extractor/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/address_extractor/",
        "project_urls": {
            "Homepage": "https://github.com/scolby33/address_extractor"
        },
        "release_url": "https://pypi.org/project/address_extractor/0.1.0.post1/",
        "requires_dist": [
            "usaddress"
        ],
        "requires_python": "",
        "summary": "A script to extract US-style street addresses from a text file.",
        "version": "0.1.0.post1"
    },
    "last_serial": 1794792,
    "releases": {
        "0.1.0": [],
        "0.1.0.post1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0aabfd9ff75d960de3ca5ad311e67132",
                    "sha256": "b5983231c123a92d0b6fb8c45ffb763d102b6692fc007fe34e2ac486902afe6b"
                },
                "downloads": -1,
                "filename": "address_extractor-0.1.0.post1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "0aabfd9ff75d960de3ca5ad311e67132",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 4685,
                "upload_time": "2015-10-31T05:52:51",
                "url": "https://files.pythonhosted.org/packages/40/a9/6e20672d4bbaa5e7c3871ca29429d1703acea6312159225f564657da23ad/address_extractor-0.1.0.post1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "c77704784852d775587cf51c100f104d",
                    "sha256": "fd62961905c9bae63223b4624116571953a4a83b7c2b473ef3d4a51eccd40a9d"
                },
                "downloads": -1,
                "filename": "address_extractor-0.1.0.post1.tar.gz",
                "has_sig": false,
                "md5_digest": "c77704784852d775587cf51c100f104d",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 4867,
                "upload_time": "2015-10-31T05:52:55",
                "url": "https://files.pythonhosted.org/packages/19/8a/a0b8e6676e7fe5a7d553a44d90608236236aeac7d72505b717b2049179b1/address_extractor-0.1.0.post1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "0aabfd9ff75d960de3ca5ad311e67132",
                "sha256": "b5983231c123a92d0b6fb8c45ffb763d102b6692fc007fe34e2ac486902afe6b"
            },
            "downloads": -1,
            "filename": "address_extractor-0.1.0.post1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "0aabfd9ff75d960de3ca5ad311e67132",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 4685,
            "upload_time": "2015-10-31T05:52:51",
            "url": "https://files.pythonhosted.org/packages/40/a9/6e20672d4bbaa5e7c3871ca29429d1703acea6312159225f564657da23ad/address_extractor-0.1.0.post1-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "c77704784852d775587cf51c100f104d",
                "sha256": "fd62961905c9bae63223b4624116571953a4a83b7c2b473ef3d4a51eccd40a9d"
            },
            "downloads": -1,
            "filename": "address_extractor-0.1.0.post1.tar.gz",
            "has_sig": false,
            "md5_digest": "c77704784852d775587cf51c100f104d",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 4867,
            "upload_time": "2015-10-31T05:52:55",
            "url": "https://files.pythonhosted.org/packages/19/8a/a0b8e6676e7fe5a7d553a44d90608236236aeac7d72505b717b2049179b1/address_extractor-0.1.0.post1.tar.gz"
        }
    ]
}