Datasets:
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K<n<10K
Tags:
natural-language-understanding
ideology classification
text classification
natural language processing
License:
steamcyclone
commited on
Commit
•
dac12a4
1
Parent(s):
1a9bb38
Upload redditscraper.py
Browse files- redditscraper.py +88 -0
redditscraper.py
ADDED
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import requests
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import time
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import random
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"""This script is used to get many posts from the desired subreddit(s)"""
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subreddit_list = [
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"theredpillrebooted",
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"RedPillWomen",
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"Feminism",
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"marriedredpill",
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"TheBluePill",
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"PurplePillDebate",
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"RedPillWives",
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]
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# url = f'https://www.reddit.com/r/{subreddit}/.json?t=all&limit=100'
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url_template = "https://www.reddit.com/r/{}/.json?t=all{}"
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# headers = {
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# 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'
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# }
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headers = {"User-Agent": "Testing Bot Gundam Wing"}
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# response = requests.get(url, headers=headers)
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params = ""
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counter = 10
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post_list = []
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for subreddit in subreddit_list:
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while counter > 0:
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print(f"Getting posts with params: {params}")
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print("\n\n\n\n")
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url = url_template.format(subreddit, params)
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response = requests.get(url, headers=headers)
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if response.ok:
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data = response.json()
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# save data to file
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# with open(f"reddit_{subreddit}_{counter}.json", "w") as f:
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# f.write(response.text)
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posts = data["data"]["children"]
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print(f"Got {len(posts)} posts")
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for post in posts:
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# print(post["data"]["title"])
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pdata = post["data"]
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post_id = pdata["id"]
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title = pdata["title"]
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# url = pdata["url"]
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text = pdata.get("selftext")
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score = pdata["score"]
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author = pdata["author"]
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date = pdata["created_utc"]
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url = pdata.get("url_overridden_by_dest")
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print(f"{post_id}: {title} - {url}")
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# print("Keys are ", pdata.keys())
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# post_list.append(
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# {
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# "id": post_id,
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# "title": title,
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# "text": text,
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# "url": url,
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# "score": score,
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# "author": author,
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# "date": date,
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# "pdata": pdata,
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# }
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# )
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post_list.append(
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[subreddit, post_id, title, text, url, score, author, date, pdata]
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)
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print(f"Got {len(posts)} posts")
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# params = f"?after={data['data']['after']}"
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try:
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params = "&after=" + data["data"]["after"]
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except:
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print(
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"No more posts, broke on ", subreddit, "with counter at ", counter
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)
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break
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counter -= 1
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time.sleep(random.randint(1, 45))
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else:
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print(f"Error: {response.status_code}")
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counter = 10
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params = ""
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