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Tool for extracting reddit comments

Project description

Reddit Comments Analyzer

Build Status Python 3.4 Python 3.5 Python 3.6 License: MIT

General package for reddit comments analysis, data manipulation, and other areas

Install Instructions

pip install .

or for released version:

pip install reddit-extract

How to Use


  • Reddit Client ID
  • Reddit Client Secret
  • Reddit User Agent
  • Subreddit
  • List of Thread IDs for bulk extract of multiple Reddit threads
  • 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")
  • Regex Pattern (for csv)

Extracting all comments for list of threads to csv with defined headers and search pattern:

import reddit_extract
reddit_extract.extract_comments_csv_bulk(<Reddit ClientID>, <Reddit ClientSecret>, <Reddit User Agent>, <Subreddit>, <Thread IDs>, <Dictionary Headers>)

Extracting all comments for list of threads to txt:

import reddit_extract
reddit_extract.extract_comments_txt_bulk(<Reddit ClientID>, <Reddit ClientSecret>, <Reddit User Agent>, <Subreddit>, <Thread IDs>)


import reddit_extract
threads = ['aw79c5', 'b7x7n1', 'am5uk7', 'bji681', 'abv2gl', '9klf8e']
search_pattern = r'Form: (.*)\n*Entity: (.*)\n*Pending: (.*)\n*Approved: (.*)\n*Standardized wait: (.*)\n*STATE: (.*)'
headers = {'Form': 'Form', 'Entity': 'Entity', 'Pending': 'Pending', 'Approved': 'Approved', 'Standardized Wait': 'Standardized Wait', 'STATE': 'STATE'}
reddit_extract.extract_comments_csv_bulk(<client_id>, <client_secret>, <user_agent>, 'nfa', threads, headers, search_pattern)


python test

Project details

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reddit_extract-0.2.0.tar.gz (6.2 kB view hashes)

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