mirror of
https://github.com/bellingcat/reddit-post-scraping-tool.git
synced 2026-06-10 20:48:29 +03:00
92 lines
4.5 KiB
Python
92 lines
4.5 KiB
Python
import logging
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import argparse
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import requests
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from rich.tree import Tree
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from datetime import datetime
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from rich import print as xprint
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from rich.markdown import Markdown
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from rich.logging import RichHandler
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start_time = datetime.now()
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logging.basicConfig(level="NOTSET", format="%(message)s", handlers=[RichHandler(markup=True, log_time_format='[%H:%M:%S%p]')])
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log = logging.getLogger("rich")
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# Check if the remote tag_name from the latest release matches the one in the program
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# if it does, it means the program is up-to-date.
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# If it doesn't match, notify the user about a new release
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def check_updates(version_tag):
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response = requests.get("https://api.github.com/repos/bellingcat/reddit-post-scraping-tool/releases/latest").json()
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if response['tag_name'] == version_tag:
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pass
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else:
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raw_release_notes = response['body']
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markdown_release_notes = Markdown(raw_release_notes)
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log.info(f"A new release of reddit-post-scraping-tool is available ({response['tag_name']}). Run 'pip install --upgrade reddit-post-scraping-tool' to get the updates.")
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xprint(markdown_release_notes)
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# Getting posts
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def get_posts(post):
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post_data = {'Author': post['data']['author'],
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'ID': post['data']['id'],
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'Subreddit': post["data"]["subreddit_name_prefixed"],
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'Visibility': post['data']['subreddit_type'],
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# 'Author': post["data"]["author_fullname"],
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'Thumbnail': post["data"]["thumbnail"],
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# 'Flair': post["data"]["link_flair_text"],
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'NSFW': post['data']['over_18'],
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'Gilded': post['data']['gilded'],
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'Upvotes': post["data"]["ups"],
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'Upvote ratio': post["data"]["upvote_ratio"],
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'Downvotes': post["data"]["downs"],
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'Awards': post["data"]["total_awards_received"],
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'Top award': post['data']['top_awarded_type'],
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'Is crosspostable?': post['data']['is_crosspostable'],
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'Score': post["data"]["score"],
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'Category': post['data']['category'],
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'Domain': post["data"]["domain"],
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'Created': post['data']['created'],
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'Approved at': post['data']['approved_at_utc'],
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'Approved by': post['data']['approved_by'], }
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post_tree = Tree("\n" + post['data']['title'])
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for post_key, post_value in post_data.items():
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post_tree.add(f"{post_key}: {post_value}")
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xprint(post_tree)
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print(post['data']['selftext'] + "\n")
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def reddit_post_scraper():
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session = requests.session()
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session.headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.1.1 Safari/605.1.15'}
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response = session.get(f'https://reddit.com/r/{args.subreddit}/{args.listing}.json?limit={args.limit}&t={args.timeframe}').json()
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found_posts = 0
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for post in response['data']['children']:
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if args.keyword.lower() in post['data']['selftext'] or args.keyword.lower() in post['data']['title']:
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found_posts += 1
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get_posts(post)
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log.info(f"Keyword ('{args.keyword}') was found in {found_posts}/{len(response['data']['children'])} {args.listing} posts from r/{args.subreddit}.")
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def create_parser():
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parser = argparse.ArgumentParser(
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description=f'reddit-post-scraping-tool — by Richard Mwewa | https://about.me/rly0nheart',
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epilog=f'Given a subreddit name and a keyword, this program returns all top (by default) posts that contain the specified word. ')
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parser.add_argument('-k', '--keyword', help='kewyword', required=True)
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parser.add_argument('-s', '--subreddit', help='subreddit', required=True)
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parser.add_argument('-c', '--limit', help='results limit (1-100) (default: %(default)s)', default=10, type=int)
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parser.add_argument('-l', '--listing', default='top', const='top', nargs='?',
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choices=['controversial', 'hot', 'best', 'new', 'rising'],
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help='listings: controversial, hot, best, new, rising (default: %(default)s)')
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parser.add_argument('-t', '--timeframe', default='all', const='all', nargs='?',
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choices=['hour', 'day', 'week', 'month', 'year'],
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help='timeframe: hour, day, week, month, year (default: %(default)s)')
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return parser
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_parser = create_parser()
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args = _parser.parse_args()
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