knewkarma 3.5.0.0

A Reddit Data Analysis Toolkit.

A Reddit Data Analysis Toolkit.

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Feature Overview

Knew Karma CLI/GUI

• Knew Karma can get the following Reddit data from individual targets:
  • User: Profile, Posts, Comments
  • Subreddit: Profile, Posts
• It can also get posts from various sources, such as:
  • Searching: Allows getting posts that match the user-provided query from all over Reddit
  • Reddit Front-Page: Allows getting posts from the Reddit Front-Page
  • Listing: Allows getting posts from a user-specified Reddit Listing
• Bonus Features
  • Fully Async (both in the CLI and GUI)
  • Dark Mode (GUI Automatic/Manual)
  • Write data to files (JSON/CSV)

Knew Karma Python Library

Code Examples

Get User Data

import asyncio
import aiohttp
from knewkarma import RedditUser


# Define an asynchronous function to fetch User
async def async_user(username: str):
    # Initialize RedditUser with the specified username
    user = RedditUser(username=username)

    # Establish an asynchronous HTTP session
    async with aiohttp.ClientSession() as session:
        # Fetch user's profile
        profile = await user.profile(session=session)

        # timeframes: ["hour", "day", "month", "year"]. Leave parameter unspecified to get from all timeframes.
        # sorting: ["controversial", "new", "top", "best", "hot", "rising"]. Leave parameter unspecified to get from all sort criteria.

        # Fetch user's posts
        posts = await user.posts(limit=200, sort="top", timeframe="year",
                                 session=session)

        # Fetch user's comments
        comments = await user.comments(limit=200, sort="top", timeframe="year",
                                       session=session)

        print(profile)
        print(posts)
        print(comments)


asyncio.run(async_user(username="automoderator"))

Get Subreddit Data

import asyncio
import aiohttp
from knewkarma import RedditSub


async def async_subreddit(subreddit_name: str):
    # Initialize RedditSub with the specified subreddit
    subreddit = RedditSub(
        subreddit=subreddit_name)

    # Create an asynchronous HTTP session
    async with aiohttp.ClientSession() as session:
        # Fetch subreddit's profile
        profile = await subreddit.profile(session=session)

        # Fetch subreddit's posts
        # timeframes: ["hour", "day", "month", "year"]. Leave parameter unspecified to get from all timeframes.
        # sorting: ["controversial", "new", "top", "best", "hot", "rising"]. Leave parameter unspecified to get from all sort criteria.
        posts = await subreddit.posts(limit=100, sort="top", timeframe="month", session=session)

        print(profile)
        print(posts)


asyncio.run(
    async_subreddit(subreddit_name="MachineLearning")
)

Get Posts

import asyncio
import aiohttp
from knewkarma import RedditPosts


async def async_posts():
    # Initialize RedditPosts
    posts = RedditPosts()

    # Create an asynchronous HTTP session
    async with aiohttp.ClientSession() as session:
        # timeframes: ["hour", "day", "month", "year"]. Leave parameter unspecified to get from all timeframes.
        # sorting: ["controversial", "new", "top", "best", "hot", "rising"]. Leave parameter unspecified to get from all sort criteria.

        # Fetch front page posts
        front_page_posts = await posts.front_page(limit=50, sort="top", timeframe="hour", session=session)

        # Fetch posts from a specified listing ('best')
        listing_posts = await posts.listing(listings_name="best", limit=50, sort="best", timeframe="month",
                                            session=session)

        # Fetch posts that match the specified search query 'covid-19'
        search_results = await posts.search(query="covid-19", limit=300, session=session)

        print(front_page_posts)
        print(listing_posts)
        print(search_results)


asyncio.run(async_posts())

Documentation

Refer to the Wiki for Installation, Usage and Uninstallation instructions.

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