Synced repo using 'sync_with_huggingface' Github Action

comment_scraper.py

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+import praw
+import pandas as pd
+import os
+from datetime import datetime
+
+FILENAME_COMMENTS = 'output_comments_after2022.csv'
+
+
+def create_reddit_instance():
+    reddit = praw.Reddit(
+        client_id=os.getenv('REDDIT_CLIENT_ID'),
+        client_secret=os.getenv('REDDIT_CLIENT_SECRET'),
+        user_agent=os.getenv('REDDIT_USER_AGENT')
+    )
+    return reddit
+
+
+def get_subreddit(reddit, subreddit_name):
+    subreddit = reddit.subreddit(subreddit_name)
+    return subreddit
+
+
+def load_existing_data(file_name):
+    if os.path.exists(file_name):
+        df = pd.read_csv(file_name)
+        existing_ids = df['id'].tolist()
+    else:
+        df = pd.DataFrame()
+        existing_ids = []
+    return df, existing_ids
+
+
+def get_new_comment_row(comment):
+    date = datetime.fromtimestamp(comment.created)
+    new_row = {
+        "id": comment.id,
+        "url": "https://www.reddit.com" + comment.permalink,
+        "score": comment.score,
+        "body": comment.body,
+        "date": date
+    }
+    return new_row
+
+
+def save_data(df, file_name):
+    df.to_csv(file_name, index=False)
+
+
+def main():
+    reddit = create_reddit_instance()
+    subreddit = get_subreddit(reddit, 'tunisia')
+    df_comments, existing_comment_ids = load_existing_data(FILENAME_COMMENTS)
+
+    print('Starting to scrape comments')
+
+    # Fetch 1000 newest comments
+    new_comments = list(subreddit.comments(limit=1000))
+
+    for comment in new_comments:
+        if comment.id in existing_comment_ids or comment.created_utc < 1672444800:  # Skip comments before 2022
+            print(f'Skipped comment {comment.id}')
+            continue
+        new_row = get_new_comment_row(comment)
+        df_comments = df_comments._append(new_row, ignore_index=True)
+        save_data(df_comments, FILENAME_COMMENTS)
+        print(f'Loaded comment {comment.id}')
+
+    print('Finished scraping')
+    print("Data saved to ", FILENAME_COMMENTS)
+
+
+if __name__ == "__main__":
+    main()

post_scraper.py

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+import time
+import praw
+import prawcore
+import pandas as pd
+import os
+from datetime import datetime
+
+FILENAME_POSTS = 'output_posts_after2022.csv'
+
+
+def create_reddit_instance():
+    reddit = praw.Reddit(
+        client_id=os.getenv('REDDIT_CLIENT_ID'),
+        client_secret=os.getenv('REDDIT_CLIENT_SECRET'),
+        user_agent=os.getenv('REDDIT_USER_AGENT')
+    )
+    return reddit
+
+
+def get_subreddit(reddit, subreddit_name):
+    subreddit = reddit.subreddit(subreddit_name)
+    return subreddit
+
+
+def load_existing_data(file_name):
+    if os.path.exists(file_name):
+        df = pd.read_csv(file_name)
+        existing_ids = df['id'].tolist()
+    else:
+        df = pd.DataFrame()
+        existing_ids = []
+    return df, existing_ids
+
+
+def get_top_comments(submission):
+    top_comments = []
+    submission.comments.sort_by = 'top'
+    for comment in submission.comments[:5]:
+        top_comments.append(comment.body)
+    return top_comments
+
+
+def get_new_post_row(submission, top_comments):
+    date = datetime.fromtimestamp(submission.created)
+    new_row = {
+        "id": submission.id,
+        "url": submission.url,
+        "score": submission.score,
+        "title": submission.title,
+        "body": submission.selftext,
+        "top_comment1": top_comments[0] if len(top_comments) > 0 else None,
+        "top_comment2": top_comments[1] if len(top_comments) > 1 else None,
+        "top_comment3": top_comments[2] if len(top_comments) > 2 else None,
+        "top_comment4": top_comments[3] if len(top_comments) > 3 else None,
+        "top_comment5": top_comments[4] if len(top_comments) > 4 else None,
+        "date": date
+    }
+    return new_row
+
+
+def save_data(df, file_name):
+    df.to_csv(file_name, index=False)
+
+
+def main():
+    reddit = create_reddit_instance()
+    subreddit = get_subreddit(reddit, 'tunisia')
+    df_posts, existing_post_ids = load_existing_data(FILENAME_POSTS)
+
+    print('Starting to scrape posts')
+
+    # Fetch 1000 newest posts
+    new_posts = list(subreddit.new(limit=1000))
+
+    for submission in new_posts:
+        if submission.id in existing_post_ids:
+            print(f'Skipped post {submission.id}')
+            continue
+        try:
+            top_comments = get_top_comments(submission)
+            new_row = get_new_post_row(submission, top_comments)
+            df_posts = df_posts._append(new_row, ignore_index=True)
+        except prawcore.exceptions.TooManyRequests:
+            print("Hit rate limit, sleeping .....")
+            time.sleep(60)
+
+    save_data(df_posts, FILENAME_POSTS)
+    print('Finished scraping')
+    print("Data saved to ", FILENAME_POSTS)
+
+
+if __name__ == "__main__":
+    main()