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Dockerfile

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+# syntax=docker/dockerfile:1
+
+FROM python:latest
+
+WORKDIR /app
+
+COPY . .
+
+RUN pip install --upgrade pip && pip install build && python -m build && pip install dist/*.whl
+
+ENTRYPOINT ["reddit_post_scraping_tool"]

reddit_post_scraping_tool/main.py

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+from reddit_post_scraping_tool.reddit_post_scraping_tool import *
+
+
+def main():
+    try:
+        reddit_post_scraper()
+    except KeyboardInterrupt:
+        log.warning(f"User interruption detected.")
+    except Exception as e:
+        log.error(e)
+    finally:
+        log.info(f'Finished in {datetime.now() - start_time} seconds.')

reddit_post_scraping_tool/reddit_post_scraping_tool.py

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+import logging
+import argparse
+import requests
+from rich.tree import Tree
+from datetime import datetime
+from rich import print as xprint
+from rich.logging import RichHandler
+
+start_time = datetime.now()
+logging.basicConfig(level="NOTSET", format="%(message)s", handlers=[RichHandler(markup=True, log_time_format='[%H:%M:%S%p]')])
+log = logging.getLogger("rich")
+
+
+# Getting posts
+def get_posts(post):
+    post_data = {'Author': post['data']['author'],
+                 'ID': post['data']['id'],
+                 'Subreddit': post["data"]["subreddit_name_prefixed"],
+                 'Visibility': post['data']['subreddit_type'],
+                 # 'Author': post["data"]["author_fullname"],
+                 'Thumbnail': post["data"]["thumbnail"],
+                 # 'Flair': post["data"]["link_flair_text"],
+                 'NSFW': post['data']['over_18'],
+                 'Gilded': post['data']['gilded'],
+                 'Upvotes': post["data"]["ups"],
+                 'Upvote ratio': post["data"]["upvote_ratio"],
+                 'Downvotes': post["data"]["downs"],
+                 'Awards': post["data"]["total_awards_received"],
+                 'Top award': post['data']['top_awarded_type'],
+                 'Is crosspostable?': post['data']['is_crosspostable'],
+                 'Score': post["data"]["score"],
+                 'Category': post['data']['category'],
+                 'Domain': post["data"]["domain"],
+                 'Created': post['data']['created'],
+                 'Approved at': post['data']['approved_at_utc'],
+                 'Approved by': post['data']['approved_by'], }
+
+    post_tree = Tree("\n" + post['data']['title'])
+    for post_key, post_value in post_data.items():
+        post_tree.add(f"{post_key}: {post_value}")
+    xprint(post_tree)
+    print(post['data']['selftext'] + "\n")
+
+
+def reddit_post_scraper():
+    session = requests.session()
+    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'}
+    response = session.get(f'https://reddit.com/r/{args.subreddit}/{args.listing}.json?limit={args.limit}&t={args.timeframe}').json()
+    found_posts = 0
+    for post in response['data']['children']:
+        if args.keyword.lower() in post['data']['selftext'] or args.keyword.lower() in post['data']['title']:
+            found_posts += 1
+            get_posts(post)
+
+    log.info(f"Keyword ('{args.keyword}') was found in {found_posts}/{len(response['data']['children'])} {args.listing} posts from r/{args.subreddit}.")
+
+
+def create_parser():
+    parser = argparse.ArgumentParser(
+        description=f'reddit-post-scraping-tool — by Richard Mwewa | https://about.me/rly0nheart',
+        epilog=f'Given a subreddit name and a keyword, this program returns all top (by default) posts that contain the specified word. ')
+    parser.add_argument('-k', '--keyword', help='kewyword', required=True)
+    parser.add_argument('-s', '--subreddit', help='subreddit', required=True)
+    parser.add_argument('-c', '--limit', help='results limit (1-100) (default: %(default)s)', default=10, type=int)
+    parser.add_argument('-l', '--listing', default='top', const='top', nargs='?',
+                        choices=['controversial', 'hot', 'best', 'new', 'rising'],
+                        help='listings: controversial, hot, best, new, rising (default: %(default)s)')
+    parser.add_argument('-t', '--timeframe', default='all', const='all', nargs='?',
+                        choices=['hour', 'day', 'week', 'month', 'year'],
+                        help='timeframe: hour, day, week, month, year (default: %(default)s)')
+    return parser
+
+
+_parser = create_parser()
+args = _parser.parse_args()

setup.py

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+import setuptools
+
+with open("README.md", "r", encoding="utf-8") as file:
+    long_description = file.read()
+
+setuptools.setup(
+    name="reddit-post-scraping-tool",
+    version="1.0.0",
+    author="Richard Mwewa",
+    author_email="rly0nheart@duck.com",
+    packages=["reddit_post_scraping_tool"],
+    description="Given a subreddit name and a keyword, this program returns all top (by default) posts that contain the specified word.",
+    long_description=long_description,
+    long_description_content_type="text/markdown",
+    url="https://github.com/rly0nheart/reddit-post-scraping-tool",
+    license="MIT License",
+    install_requires=["rich", "requests"],
+    classifiers=[
+        'Development Status :: 5 - Production/Stable',
+        'Intended Audience :: Information Technology',
+        'License :: OSI Approved :: MIT License',
+        'Operating System :: OS Independent',
+        'Natural Language :: English',
+        'Programming Language :: Python :: 3'
+        ],
+    entry_points={
+        "console_scripts": [
+            "reddit_post_scraping_tool=reddit_post_scraping_tool.main:main",
+        ]
+    },
+)