Upload reddit_data_collection.py

reddit_data_collection.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"]
+
+# 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)