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i like reddit very much
Based on our record, Reddit seems to be a lot more popular than Herefeed. While we know about 3301 links to Reddit, we've tracked only 13 mentions of Herefeed. 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 hate this (I have to be yet another internet-bitchin' citizen, but seriously, why getting rid of essential features) - I personally do NOT want any US or, as you mentioned, any UK offers - not all of those sellers use the Global Shipping Program, so I cannot have it properly sorted when sorting by the price and shipping, so I get a lot of noise in my searches. Hopefully that data is available through some API... Source: about 3 years ago
You can use picclick.com and search chuck e cheese or showbiz pizza and animatronics pop up, maybe you will be lucky to find billy bob at some point. Source: over 3 years ago
A small thing: PicClick claims to "Search eBay Faster". Good luck! _^. Source: about 4 years ago
Oooh, just thought of something else. I kind of hate eBay's native search engine so I've been using PicClick to search there more efficiently. Source: about 4 years ago
Anyhow, I do a reverse image search and it matches to a site that allows you to browse through eBay. But of course, I can't find that image when I go there but the image file name seems to have an item number. Source: over 4 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 / 4 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 / 4 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 / 5 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 / 5 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
Instaround - A simple app to find Instagram photos and people around you.
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eBay - Buy and sell electronics, cars, fashion apparel, collectibles, sporting goods, digital cameras, baby items, coupons, and everything else on eBay, the world's online marketplace
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Picture.io - Klout score for Instagram. See how insta famous you are. ๐ทโจ
YouTube - Our mission is to give everyone a voice and show them the world.