{ "info": { "author": "Paul Solin", "author_email": "paul@paulsolin.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Topic :: Office/Business" ], "description": "# cleanco - clean organization names\n\n## What is it / what does it do?\n\nThis is a Python package that processes company names, providing cleaned versions of the\nnames by stripping away terms indicating organization type (such as \"Ltd.\" or \"Corp\").\n\nUsing a database of organization type terms, It also provides an utility to deduce the\ntype of organization, in terms of US/UK business entity types (ie. \"limited liability\ncompany\" or \"non-profit\").\n\nFinally, the system uses the term information to suggest countries the organization could\nbe established in. For example, the term \"Oy\" in company name suggests it is established\nin Finland, whereas \"Ltd\" in company name could mean UK, US or a number of other\ncountries.\n\n## How do I install it?\nDownload it from this site and unzip the directory.\n\n* Mac: `cd` into it, and enter `sudo python setup.py install` along with your system password.\n* Windows: Same thing but without `sudo`.\n\n## How does it work?\nLet's look at some sample code. First, create an instance of the module:\n\n >>> from cleanco import cleanco\n\nPrepare a string of a company name that you want to process:\n\n >>> business_name = \"Some Big Pharma, LLC\"\n\nThrow it into the instance:\n\n >>> x = cleanco(business_name)\n\nYou can now get the company types:\n\n >>> x.type()\n ['Limited Liability Company']\n\n...the possible countries...\n\n >>> x.country()\n ['United States of America', 'Philippines']\n\n...and a clean version of the company name.\n\n >>> x.clean_name()\n 'Some Big Pharma'\n\n## Are there bugs?\nYou better believe it. Please let me know or fork this project. I'm sure some of the company suffixes are way incorrect and I'm missing a lot more information.\n\n## Special thanks to:\n\n- Wikipedia's [Types of Business Entity article](http://en.wikipedia.org/wiki/Types_of_business_entity), where I spent hours of research.\n- Contributors: Petri Savolainen \n", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/psolin/cleanco", "keywords": null, "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "cleanco", "package_url": "https://pypi.org/project/cleanco/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/cleanco/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/psolin/cleanco" }, "release_url": "https://pypi.org/project/cleanco/1.3/", "requires_dist": null, "requires_python": null, "summary": "Python library to process company names", "version": "1.3" }, "last_serial": 1715966, "releases": { "1.1": [ { "comment_text": "", "digests": { "md5": "8f1385b318164db9df0619e1b79390b0", "sha256": "92ba8b9a6c9d76020d852790fb4e1e3c88bda8ede5e485b3deabdc27735b146b" }, "downloads": -1, "filename": "cleanco-1.1.zip", "has_sig": false, "md5_digest": "8f1385b318164db9df0619e1b79390b0", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8373, "upload_time": "2015-08-24T13:04:51", "url": "https://files.pythonhosted.org/packages/2a/ce/f5a3ced63ceb368c0525c85afa374b50e61434a6f8dfaf51d686bf888852/cleanco-1.1.zip" } ], "1.2.1": [ { "comment_text": "", "digests": { "md5": "314cf238ec9387ca2a3211abc185d736", "sha256": "85d482e6bd5281b4b569dd23b97f9c6f883bb366070a566a5b423873529eca80" }, "downloads": -1, "filename": "cleanco-1.2.1.zip", "has_sig": false, "md5_digest": "314cf238ec9387ca2a3211abc185d736", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 21923, "upload_time": "2015-09-02T06:21:45", "url": "https://files.pythonhosted.org/packages/ad/8c/c99d4410d9217291dd2a894f2f1b89aacff9d422ce355e0b38053e3f3a38/cleanco-1.2.1.zip" } ], "1.3": [ { "comment_text": "", "digests": { "md5": "b52461a1985a2714b6aff64f7021ed19", "sha256": "ee329af96ced32e13f84078b388b868f9f5b8c9999f161fedd03fc4761e5a8ed" }, "downloads": -1, "filename": "cleanco-1.3.zip", "has_sig": false, "md5_digest": "b52461a1985a2714b6aff64f7021ed19", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 22039, "upload_time": "2015-09-09T18:45:52", "url": "https://files.pythonhosted.org/packages/8e/fb/084dca16f1436d9ab27bee6d5e48b294d85f44db698e50a2a9bed4f02c29/cleanco-1.3.zip" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "b52461a1985a2714b6aff64f7021ed19", "sha256": "ee329af96ced32e13f84078b388b868f9f5b8c9999f161fedd03fc4761e5a8ed" }, "downloads": -1, "filename": "cleanco-1.3.zip", "has_sig": false, "md5_digest": "b52461a1985a2714b6aff64f7021ed19", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 22039, "upload_time": "2015-09-09T18:45:52", "url": "https://files.pythonhosted.org/packages/8e/fb/084dca16f1436d9ab27bee6d5e48b294d85f44db698e50a2a9bed4f02c29/cleanco-1.3.zip" } ] }