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TheRtRevKaiser@kbin.social

I made a script to calculate a user's karma (feddit.de)

submitted 1 year ago* (last edited 1 year ago) by squaresinger@feddit.de to c/technology

63 comments fedilink hide all child comments

Just save this as karma.py and run it with Python 3.6 or higher.

import requests
import math

INSTANCE_URL = "https://feddit.de"
TARGET_USER = "ENTER_YOUR_USERNAME_HERE"

LIMIT_PER_PAGE = 50

res = requests.get(f"{INSTANCE_URL}/api/v3/user?username={TARGET_USER}&limit={LIMIT_PER_PAGE}").json()

totalPostScore = 0
totalCommentScore = 0
page = 1
while len(res["posts"])+len(res["comments"]) > 0:
	totalPostScore += sum([ x["counts"]["score"] for x in res["posts"] ])
	totalCommentScore += sum([ x["counts"]["score"] for x in res["comments"] ])
	
	page += 1
	res = requests.get(f"{INSTANCE_URL}/api/v3/user?username={TARGET_USER}&limit={LIMIT_PER_PAGE}&page={page}").json()
 
print("Post karma:    ", totalPostScore)
print("Comment karma: ", totalCommentScore)
print("Total karma:   ", totalPostScore+totalCommentScore)

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[–] Powderhorn 3 points 1 year ago (2 children)

I'm getting back into Python for unrelated reasons, and last I was using it, JSON wasn't on my radar yet.

I'm curious about the .json() method here, which seems to be exposing posts et al. for further manipulation without parsing. Is this really as simple as it appears?

[–] realChem 3 points 1 year ago (1 children)

I've not used requests, but yes their docs make it look like it really is that easy: https://requests.readthedocs.io/en/latest/user/quickstart/

Looks like the .json() call just returns a dictionary (or maybe a list of dictionaries), which means you can use all of python's normal dictionary methods to find the data you're looking for!

[–] Powderhorn 4 points 1 year ago

Thanks for the link! This looks like an absurdly powerful library for HTTP needs and output manipulation from the perspective of a scraping neophyte.

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