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"text": "@EXM7777 @EXM7777 Full tweet history on tap turns this from a search bar into an actual research pipeline ๐ช",
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"text": "Most X research agents only see today. Which is why they all surface the same takes.\n\n@EXM7777 wired a Grok Bot agent to the official X MCP for trends, plus the Apify CLI for a profile's history. A brief every morning.\n\nFor tracking a niche or watching competitors ๐",
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"text": "๐ Try it yourself โ\nhttps://t.co/auOGujQRWx",
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"text": "Every public post, reel, comment, profile, and hashtag on Instagram is accessible as structured data.\n\nInstagram Scraper pulls it for influencer vetting, trend tracking, competitor monitoring, and more.\nLink in ๐งต https://t.co/RQHfI0RIIe",
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"text": "@ApexFusion Thanks @ApexFusion ๐",
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"text": "@adityaarsharma @patrikbraborec Thanks for the love @adityaarsharma ๐ซถ๐ป",
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"text": "@Aces1974 @Aces1974 From a Lincoln petition to government archives is quite the pivot. Rooting for @ApexFusion ๐",
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"text": "@Aces1974 @fivosaresti @pinecone @claudeai @heyreach_io @clay @Aces1974 \"Actors + memory beats another prompt pack\" - couldn't have said it better ๐",
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"text": "@monad @monad Proud to be bringing web data to Monad API Hub, 41 endpoints live already. Excited to see what the community builds with this ๐",
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"text": "@GodFactorID @BrandButlerAI Thanks for including Apify, @GodFactorID ๐",
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"text": "@hishboy @naruto11eth @hishboy Most of our Reddit Actors just pull from the public pages, never touching Reddit's API. That's why the lockdown doesn't really hit them ๐ช",
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"text": "@Aces1974 This is one of the more interesting use cases we've seen. Is this a one-off for this archive, or are you turning it into a pipeline for other handwritten collections as well?",
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"text": "Less time wiring up data, more time on PerceptionIQ's brain. Shipped in 24 hours at Code'O Clock hackathon. Congrats, Aravindan S ๐ https://t.co/5X7TIwuaTb",
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"text": "๐ Check out the event โ\nhttps://t.co/Enqdm3mxcF",
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"text": "A marketing team running on code gives AI agents something to read and write directly.\nDavid Kolรญnek at the Apify AI marketing meetup, Prague, September 17 - what that shift looks like, what you get from it, and an example project you can copy. Link in thread โ https://t.co/nE1HHMILgU",
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"text": "New to Apify Store and already making waves - meet this edition's Rising Stars โ https://t.co/7Wg0um2WyD",
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"text": "Two Apify creators, one question: What's the weirdest thing you've scraped? \n\n@igolaizola beating everyone to swimming pool tickets, the other's running OnlyFans lead gen for a client. Wildly different, both valid. \n\nNow we need to hear yours, drop it in the replies ๐",
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"text": "@the_ladybella This is exactly the kind of energy we're here for. Can't wait to see what the ladies build ๐ฅ",
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"text": "@kamilmm21 @claudeai True, any model burns tokens crawling the web itself. Apify MCP reduces token cost significantly by calling an Actor and waiting instead ๐",
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"text": "Claude Fable 5, native web search: $43 for 130+ leads.\nSame prompt, same model, Apify MCP: $10.28.\nThe model fires off an Actor and waits. No tokens burn while it runs.\n\n๐ Apify MCP Server for @claudeai โ\nhttps://t.co/HvtJxl45hg https://t.co/VnW4Nlp23K",
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