reddit_collect_data.py

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()