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Redditi like reddit very much
Based on our record, Reddit seems to be a lot more popular than Scribd. While we know about 3301 links to Reddit, we've tracked only 54 mentions of Scribd. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you go to https://scribd.com and enter search term Lawrence Barkwell + Mรฉtis and change results to documents/articles, all of his 2,000+ research papers are there. He was the historian for the Louis Riel Institute and Gabriel Dumont Institute for over 20 years. Source: over 2 years ago
Look on scribd.com. They have several plan sets for residential structural buildings. Source: over 2 years ago
Jerry Schilling speaks to this in his book, "Me and a Guy Named Elvis." Highly recommend this audiobook available for free on a trial basis at scribd.com. Source: about 3 years ago
There are several Elvis ebooks and audiobooks you can access for free with a 30-day trial at scribd.com. Registration requires a credit card but you can cancel before the first payment. Source: about 3 years ago
Get a $6 statement credit by using your enrolled eligible Card to make a single purchase of $11.99 or more online at scribd.com by 10/31/2023. Limit of 5 statement credits (total of $30). See terms. Source: about 3 years ago
From urllib.parse import urlparse Def normalize_gh(r): return { "title": r["name"], "url": r["url"], "source": "github", "score": r["stars_this_period"], "desc": r.get("description", ""), "date": r["trending_date"], "lang": r.get("language"), } Def normalize_hn(p): return { "title": p["title"].replace("Show HN: ", ""), "url":... - Source: dev.to / 3 months ago
@tool Def search_reddit(keywords: str, max_results: int = 20) -> list[dict]: """Fallback: search Reddit directly via PRAW.""" reddit = praw.Reddit( client_id=os.environ["REDDIT_CLIENT_ID"], client_secret=os.environ["REDDIT_CLIENT_SECRET"], user_agent="doug-agent/1.0", ) candidates = [] for submission in reddit.subreddit("all").search(keywords, sort="new",... - Source: dev.to / 2 months ago
Import requests Import time Def fetch_subreddit_posts(subreddit, sort="hot", limit=25): url = f"https://www.reddit.com/r/{subreddit}/{sort}.json" params = { "limit": limit, "raw_json": 1, # Prevents HTML encoding in responses } headers = { "User-Agent": "PythonScraper/1.0 (research project)" } response = requests.get(url, params=params, headers=headers) if... - Source: dev.to / 3 months ago
From sessionkeeper import SessionKeeper Async with SessionKeeper("reddit") as sk: page = await sk.get_authenticated_page("https://reddit.com") # You're logged in. Do your automation. await page.goto("https://reddit.com/r/blender/submit"). - Source: dev.to / 4 months ago
It's completely free, and takes just moments to set up - you just need to create an account, and set up keywords for the service to track. When your keywords are mentioned on Reddit, Hackernews, or Lobste.rs, you'll get a tidy little email in your inbox. - Source: dev.to / over 1 year ago
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