reddit_data_collection.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"]

# Create an empty list to store the data dictionaries
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=10000)
                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_title = post.title
                    # Iterate over the first 10 comments in the post
                    for comment in post.comments[:20]:
                        # Get the body of the comment
                        comment_body = comment.body
                        # Get the number of upvotes for the comment
                        upvotes = comment.score
                        data_dict = {
                            "ID": comment.id,
                            "Author": comment.author.name if comment.author else 'N/A',
                            "Subreddit": subreddit_name,
                            "Post Title": post_title,
                            "Comment Body": comment_body,
                            "Timestamp": datetime.utcfromtimestamp(comment.created_utc),
                            "Upvotes": upvotes,
                            "Number of Replies": len(list(comment.replies))
                        }
                        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()
               
# Save the data as a CSV file
with open('', mode='w', newline='', encoding='utf-8') as csv_file:
    fieldnames = ["ID","Author","Subreddit", "Post Title", "Comment Body", 
                  "Timestamp","Upvotes","Number of Replies"]
    writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
    writer.writeheader()
    for d in data:
        writer.writerow(d)