#Reddit-api
Showing 14 of 14 repositories tagged #reddit-api, ranked by stars
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.
Forget the past. Social Amnesia makes sure your social media accounts only show your posts from recent history, not from "that phase" 5 years ago.
Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.
A PostgreSQL-backed archive generator that creates browsable HTML archives from link aggregator platforms including Reddit, Voat, and Ruqqus.
A multithread Pushshift.io API Wrapper for reddit.com comment and submission searches.
Scrape Reddit for marketing pain points using GPT — built to fuel Cronlytic's growth.
A real-time reddit data streaming pipeline for sentiment analysis of various subreddits
A companion project for our blog post on better Android software development using MVVM with RxJava.
Web UI for searching and downloading archived Reddit data, from the Arctic Shift project
The Android Reddit API Wrapper
DRAW: The Dart Reddit API Wrapper
Do everything from data collection from reddit to training a machine learning model in just two lines of python code!
You would have noticed alot of channel getting popular on YouTube just by uploading “Reddit to Text-To-Speech” YouTube Videos. So I decided to create a program that can automate the process of receiving, generating and uploading these videos to YouTube with as little intervention as possible. It took me one month to complete this project. I divided the project to 3 scripts. The idea was to minimize as much manual intervention as possible and automate all the trivial tasks. However the process cannot be 100% automated. For example comments with links in them cannot be kept as quality of the video will be comprised due to the TTS. Additionally while a comment might have a large number of votes it could potentially be offensive and not safe for a YouTube video and thus must be removed. The thumbnail, while partially generated, must be edited in order to create any kind of appeal to viewers to click on your video. The same goes for the title of the video which must be clickbait-y in order to receive any attention. I have attempted to streamline the manual process with the client program and it takes me approximately 30 minutes to create 6 videos (the max that can be uploaded within 24 hours with the YouTube Data API).
13 projects using ChatGPT API, Whisper, Embeddings, and DALL-E with Python.