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LibraryThing
Redditi like reddit very much
Based on our record, Reddit seems to be a lot more popular than LibraryThing. While we know about 3301 links to Reddit, we've tracked only 15 mentions of LibraryThing. 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.
I have 827 (thank you librarything.com for the catalogue) and 7 dictionaries in four languages accumulated over 50-odd years. I have several matching sets Iโve bought as they were issued. You just have to (a) buy books and (b) live a long time. Source: about 3 years ago
I use librarything.com to keep track of books I read. One of the things I like most about the site is that it basically works like your own personal library card catalog. You can create "collections" as well as tags to organize your books. You can easily add books by edition, format, or ISBN to your library. And if you have physical books, you can scan the barcodes to add them to your library instead of entering... Source: about 3 years ago
Take a look at librarything.com, probably perfect for small libraries. Source: over 3 years ago
i'll also put in a plug for librarything.com. I prefer it way more than goodreads. It feels less more indie and far smaller. Source: over 3 years ago
I believe you can make comments vs. Private comments on librarything.com. You can also set your entire library to private. Source: over 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 / 3 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 / 4 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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