Upload reddit_collect_data.py

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()