mbirth/reddit-cleaner
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Added deletion of comments and LOTS of output, also input for password/OTA.

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Markus Birth 2024-03-19 15:09:30 +00:00
parent 8753591655
commit ccc6b738ec
Signed by: mbirth
GPG Key ID: A9928D7A098C3A9A
5 changed files with 676 additions and 35 deletions
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*.csv

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reddit-cleaner
==============
History
-------
With Reddit starting to sell their user's content to AI companies and also shutting down their API for 3rd party apps, I wanted to clean out my Reddit account and make my contributions over the past 10 years unusable for AI training.
From a [Reddit data export](https://www.reddit.com/settings/data-request) I knew that Reddit retains the last version of a comment - regardless of whether you've deleted it or not. So that's why I needed to overwrite every single comment before deleting it.
Also, Reddit only associates the latest 1,000 posts and comments with your profile. So everything older is not easily accessible from within Reddit. Some browser-based tools try to find more by trying the various different filters available in your Reddit profile, but in my case, this still left 7k+ of my 9k comments intact.
I was able to find many more comments to delete by using a Google query like `site:reddit.com "mbirth avatar"` (the `avatar` appears in your profile image, so this only shows comments you've actually made, not where you were mentioned). But when I cleaned out everything Google returned, too, a fresh data export still showed over 7k comments still intact.
As it's Spring cleaning time, I started looking for some tool that's still working. I got lucky in the comments of [this PowerDeleteSuite issue](https://github.com/j0be/PowerDeleteSuite/issues/55).
User [@confluence](https://github.com/confluence) turned the snippet mentioned there into a working bare-bones script and published it in [this GIST](https://gist.github.com/confluence/3c9637a679ce4e65cfe9df9acee8796a).
My version
----------
While the script from the GIST already works great for editing all your comments, I've added the deletion and also added a bit of logging and status output so you don't get bored while it's running. It also shows the expected time remaining so you know what to expect.
I've also added inputs for security critical data like the Reddit account password and OTA token. As well as a feature to skip a number of records if the script aborted mid-run and you don't want to wait for it to advance to the current position again.
CAUTION
=======
<div style="background-color: #fcc; padding: 1em;">
I'm releasing this into the wild with ABSOLUTELY NO TECH SUPPORT. Use it at your own risk. If you're running it, it means you're willing to delete your Reddit comments.
Also be aware that this kind of behaviour **may get you banned from some subs**, which may not be reversible. Caveat emptor!
</div>
Setup
-----
### Dependencies
* poetry
* praw
* pandas
* rich
After installing poetry, the remaining dependencies can be setup using: `poetry install`
### Reddit setup
Request your [Reddit data export](https://www.reddit.com/settings/data-request).
While waiting for it, [go here](https://www.reddit.com/prefs/apps/) and create a new "Reddit App". Give it a name, select *Script* as the type and enter `http://localhost:8080` as the *redirect uri* (as that's a required field).
After submitting, you'll see your new "app" with its **Client ID** (shown below the *personal use script* besides the icon) and - after expanding the box by clicking the *edit* link - your app's **secret**. You'll need both of these later.
Now [go here](https://www.reddit.com/wiki/api) and register to use the Reddit API. In the contact form select *I want to register to use the free tier of the Reddit API*. As purpose I've put *Other*. And into the mandatory field asking about the subreddits I plan to use this for, I've put *"all I've participated in"*. The remaining fields should be self-explanatory.
Wait for the mail from support to arrive, confirming you're allowed to use the API. Also, once your data export is ready, download it and unpack the `comments.csv` into the same directory where this script resides.
### Script setup
Edit the file `kill_comments.py`.
Change `APP_CLIENT_ID` to the **Client ID** of your Reddit App. Change the `APP_CLIENT_SECRET` to its **secret** (see above).
Set your Reddit username in `USERNAME`.
Now, [find your browser's user agent](https://explore.whatismybrowser.com/useragents/parse/?analyse-my-user-agent=yes#parse-useragent) and put it into the `USER_AGENT` variable.
And, finally, feel free to modify the `OVERWRITE_STRING` to your liking.
Running the script
------------------
If everything is set up, you can run the script using: **`poetry run ./kill_comments.py`**
It'll ask you for how many records to skip, your Reddit account password and OTA token.
Thanks to the Rich library, the comment ids shown in the output are clickable links in supported terminal apps. So you can easily verify that your comments are gone.
If you see output like this:
Error processing comment with id abcdefg.
ClientException('No data returned for comment t1_abcdefg')
This means that comment was made in a sub that's now quarantined or locked and thus not accessible. There doesn't seem to be a way to properly delete it apart from legal action as per GDPR or similar.
Also be aware that you'll get lots of messages to your Reddit inbox from several sub's bots that complain about your edited comments as they catch the edit before the deletion. Just ignore/delete those messages.
Happy Spring cleaning!

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#!/usr/bin/env python3
# This script is based on a snippet posted here: https://github.com/j0be/PowerDeleteSuite/issues/55
# It can be used to overwrite the text of all the comments in your account, when you have over 1000 comments. Many tools are limited to the most recent 1000.
# Original idea: https://github.com/j0be/PowerDeleteSuite/issues/55
# First draft: https://gist.github.com/confluence/3c9637a679ce4e65cfe9df9acee8796a
# This version: https://github.com/mbirth/reddit-cleaner
# CAUTION:
INPUT_FILE = "comments.csv"
# I'm releasing this into the wild with ABSOLUTELY NO TECH SUPPORT. Use it at your own risk. If you're running it, it means that you have backups. If you know Python, you can modify it to restore the original text.
# But the original editing behaviour may get you banned from some subs, which may not be reversible. Caveat emptor!
# I tested this on Ubuntu Focal and nowhere else. In theory it should run wherever Python 3 can run.
APP_CLIENT_ID = "XXXXX"
APP_CLIENT_SECRET = "XXXXX"
USERNAME = "XXXXX"
# SETUP:
USER_AGENT = "XXXXX"
# Request your data export here: https://www.reddit.com/settings/data-request and wait for a link.
# Create a new app here: https://www.reddit.com/prefs/apps/ -- select "script". You have to enter a redirect URI; you can use http://localhost:8080
# Register to use the API as described here: https://www.reddit.com/wiki/api -- you need to create the app first (see above), because you need the ID from the app for the registration form. Wait for the confirmation email.
# Install the praw and pandas Python libraries. Save this script in the same directory as your unzipped backup data. Make it executable (or you'll need to execute it explicitly with Python 3).
# Edit the custom parameters in the script below:
# your plaintext Reddit username and password (there are more secure ways to prompt for this, but you should only need to run this script once, and can then delete it or overwrite the value).
# the ID and secret from the app you created
# any plausible browser user agent (there are examples online, and sites that will tell you what your browser is reporting)
# you can also modify the replacement string to anything you want
# Run the script, and wait for many hours (the free API access tier is rate-limited; the praw library automatically handles this and the script uses the maximum possible timeout limit).
# You can browse the backup file to find sample URLs and watch your comments wink out in real time, if you are that way inclined.
# If for some reason you interrupt the script, it should be safe to restart it. There's a guard which skips comments that already have your replacement text as their body.
# This script will log when an attempt to edit a comment returned an error response, and continue. This seems to happen when a comment in the backup is part of a deleted thread (this results in a 403).
OVERWRITE_STRING = "[intentionally deleted]"
##################################################################################################
import praw
from prawcore.exceptions import Forbidden
import pandas as pd
from rich import print
from rich.progress import Progress, SpinnerColumn, TextColumn, BarColumn, TaskProgressColumn, MofNCompleteColumn, TimeRemainingColumn
from rich.prompt import Prompt, IntPrompt
from rich.traceback import install
import sys
df = pd.read_csv('comments.csv')
# use Rich Traceback handler, fail in style
install(show_locals=True)
# Query user for login data
skip_amount = IntPrompt.ask("How many CSV rows to skip before starting to process?", default=0)
password = Prompt.ask(f"Enter password for account [b]{USERNAME}[/b]", password=True)
twofa_code = Prompt.ask("If you're using 2FA, enter your current OTA token otherwise just press [b]ENTER[/b]", password=True)
# If 2FA was specified, add to password
if len(twofa_code) > 0:
password += ":" + twofa_code
# Become a Redditor!
reddit = praw.Reddit(
client_id="XXXXX",
client_secret="XXXXX"
password="XXXXX",
user_agent="XXXXX",
username="XXXXX",
client_id=APP_CLIENT_ID,
client_secret=APP_CLIENT_SECRET,
password=password,
user_agent=USER_AGENT,
username=USERNAME,
ratelimit_seconds=600
)
# Praw doc says this is deprecated, praw itself says it's required?!
reddit.validate_on_submit = True
overwrite_string = "So long, and thanks for all the fish."
# Open CSV and get total number of records
print(f"Reading [b]{INPUT_FILE}[/b]...")
df = pd.read_csv(INPUT_FILE)
comment_count = len(df)
print(f"[bright_green]{comment_count} comments[/bright_green] found in CSV.")
for commentId in df['id']:
try:
comment = reddit.comment(commentId)
if comment.body != overwrite_string:
comment.edit(overwrite_string)
except:
print(f"Error processing comment with id {commentId}.")
# Start processing
with Progress(
SpinnerColumn("point", style="bright_yellow", speed=0.5),
TextColumn("[progress.description]{task.description}"),
MofNCompleteColumn(),
BarColumn(),
TaskProgressColumn(),
TimeRemainingColumn()
) as progress:
ptask = progress.add_task("Processing comments...", total=comment_count)
for i, row in df.iterrows():
commentId = row['id']
commentUrl = row['permalink']
try:
# Skip number of records as specified
if i < skip_amount:
continue
progress.update(ptask, description=f"Processing comment {commentId}...")
comment = reddit.comment(commentId)
if not comment.body:
# Praw doc defines this for deleted comments, but I've only encountered
# HTTP 403 / Forbidden during my runs. However, left this here just in case.
print(f"[orange1]Comment [bright_cyan][link={commentUrl}]{commentId}[/link][/bright_cyan] already deleted.[/orange1]")
progress.update(ptask, completed=i+1)
continue
elif comment.body != OVERWRITE_STRING:
# Edit the comment to our OVERWRITE_STRING
comment.edit(OVERWRITE_STRING)
print(f"[green1]Comment [bright_cyan][link={commentUrl}]{commentId}[/link][/bright_cyan] edited successfully.[/green1]")
# Delete comment
comment.delete()
progress.update(ptask, completed=i+1)
print(f"[green1]Comment [bright_cyan][link={commentUrl}]{commentId}[/link][/bright_cyan] deleted successfully.[/green1]")
except Forbidden:
# Praw returns this for deleted comments
print(f"[orange1]Comment [bright_cyan][link={commentUrl}]{commentId}[/link][/bright_cyan] already deleted or otherwise not accessible.[/orange1]")
progress.update(ptask, completed=i+1)
except Exception as e:
# Generic exception handler, e.g. for when a comment is in a locked sub
print(f"Error processing [link={commentUrl}]comment with id {commentId}[/link].")
print(repr(e))
progress.update(ptask, completed=i+1)
#sys.exit(1)

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18
pyproject.toml Normal file
View File

@ -0,0 +1,18 @@
[tool.poetry]
name = "reddit-clean"
version = "0.1.0"
description = ""
authors = ["Your Name <you@example.com>"]
readme = "README.md"
package-mode = false
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python = "^3.12"
praw = "^7.7.1"
pandas = "^2.2.1"
rich = "^13.7.1"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"