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        "author": "Dillon Mabry",
        "author_email": "rapid.dev.solutions@gmail.com",
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        "description": "# Reddit Comments Analyzer\n[![Build Status](https://travis-ci.org/dillonmabry/youtube-sentiment-helper.svg?branch=master)](https://travis-ci.org/dillonmabry/reddit-comments-tool)\n[![Python 3.4](https://img.shields.io/badge/python-3.4-blue.svg)](https://www.python.org/downloads/release/python-340/)\n[![Python 3.5](https://img.shields.io/badge/python-3.5-blue.svg)](https://www.python.org/downloads/release/python-350/)\n[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nGeneral package for reddit comments analysis, data manipulation, and other areas\n\n## Install Instructions\n```\npip install .\n```\nor for released version:\n```\npip install reddit-extract\n```\n\n## How to Use\nRequired:\n- Reddit Client ID\n- Reddit Client Secret\n- Reddit User Agent\n- Subreddit\n- List of Thread IDs for bulk extract of multiple Reddit threads\n- Dictionary (Should match your regex search pattern, otherwise your headers will not match the data retrieved, for example: a defined copy/paste form for a reddit thread that users reply to, aka \"Megathreads\")\n- Regex Pattern (for csv)\n\nExtracting all comments for list of threads to csv with defined headers and search pattern:\n```\nimport reddit_extract\nreddit_extract.extract_comments_csv_bulk(<Reddit ClientID>, <Reddit ClientSecret>, <Reddit User Agent>, <Subreddit>, <Thread IDs>, <Dictionary Headers>)\n```\n\nExtracting all comments for list of threads to txt:\n```\nimport reddit_extract\nreddit_extract.extract_comments_txt_bulk(<Reddit ClientID>, <Reddit ClientSecret>, <Reddit User Agent>, <Subreddit>, <Thread IDs>)\n```\n\nExample:\n```\nimport reddit_extract\nthreads = ['aw79c5', 'b7x7n1', 'am5uk7', 'bji681', 'abv2gl', '9klf8e']\nsearch_pattern = r'Form: (.*)\\n*Entity: (.*)\\n*Pending: (.*)\\n*Approved: (.*)\\n*Standardized wait: (.*)\\n*STATE: (.*)'\nheaders = {'Form': 'Form', 'Entity': 'Entity', 'Pending': 'Pending', 'Approved': 'Approved', 'Standardized Wait': 'Standardized Wait', 'STATE': 'STATE'}\nreddit_extract.extract_comments_csv_bulk(<client_id>, <client_secret>, <user_agent>, 'nfa', threads, headers, search_pattern)\n```\n\n## Tests\n```\npython setup.py test\n```",
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