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reddit_climate_comment / reddit_collect_data.py

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	import praw
	import pandas as pd
	from datetime import datetime, timezone
	from textblob import TextBlob
	import csv
	import time

	# Replace these with your own values
	client_id = ''
	client_secret = ''
	user_agent = ''

	# Create a Reddit instance
	reddit = praw.Reddit(
	client_id=client_id,
	client_secret=client_secret,
	user_agent=user_agent
	)

	# Create a list of subreddits to collect data from
	subreddits = ["climate", "energy","renewableenergy","climatechange","climateactionplan","environment","sustainability","zerowaste"]
	data = []

	# Example of an enhanced backoff strategy
	def process_request():
	retry_count = 0
	max_retries = 5 # You can adjust this based on your needs

	while retry_count < max_retries:
	try:
	# Iterate over each subreddit in the subreddits list
	for subreddit_name in subreddits:
	# Choose the subreddit you want to interact with
	subreddit = reddit.subreddit(subreddit_name)
	# Get the top 100 posts in the subreddit
	top_posts = subreddit.top(limit=1000)
	count = 0
	# Iterate over each post in the top_posts list
	for post in top_posts:
	count += 1
	print(count)
	# Get the title of the post
	post_id = post.id
	if hasattr(post, 'post_hint') and post.post_hint == 'image':
	image_url = post.url
	else:
	image_url = ""
	for comment in post.comments[:len(list(post.comments))-1]:
	# Get the body of the comment
	comment_body = comment.body
	# Get the number of upvotes for the comment
	upvotes = comment.score
	for reply in comment.replies[:len(list(comment.replies))-1]:
	data_dict = {
	"Subreddit": subreddit_name,
	"Post Title": post.title,
	"Post ID": post.id,
	"Post Author": post.author,
	"Post Body": post.selftext,
	"Post Url": post.url,
	"Post Pic": image_url,
	"Post Timestamp": datetime.utcfromtimestamp(post.created_utc),
	"Post Upvotes": post.score,
	"Post Permalink": post.permalink,
	"Comment ID": comment.id,
	"Comment Author": comment.author.name if comment.author else 'N/A',
	"Comment Body": comment_body,
	"Comment Timestamp": datetime.utcfromtimestamp(comment.created_utc),
	"Comment Upvotes": upvotes,
	"Comment Permalink": comment.permalink,
	"Reply ID": reply.id,
	"Reply Author": reply.author,
	"Reply Body": reply.body,
	"Reply Timestamp": datetime.utcfromtimestamp(reply.created_utc),
	"Reply Upvotes": reply.score,
	"Reply Permalink": reply.permalink
	}
	data.append(data_dict)
	print(data_dict)
	except praw.exceptions.RedditAPIException as e:
	if 'ratelimit' in str(e).lower():
	# If a rate limit error is encountered, wait and then retry
	retry_count += 1
	wait_time = 2 ** retry_count # Exponential backoff
	print(f"Rate limit exceeded. Waiting {wait_time} seconds and retrying...")
	time.sleep(wait_time)
	else:
	# Handle other API exceptions if needed
	print(f"Error: {e}")
	# If a rate limit error is encountered, wait and then retry
	retry_count += 1
	wait_time = 2 ** retry_count # Exponential backoff
	print(f"Rate limit exceeded. Waiting {wait_time} seconds and retrying...")
	time.sleep(wait_time)
	else:
	# If the request was successful, break out of the loop
	break
	else:
	# If max_retries is reached, consider logging an error or taking appropriate action
	print("Max retries reached. Consider adjusting your backoff strategy or rate limits.")
	process_request()