Explore tweets tagged as #scrapegraphai
【AIで可視化構築できるスクレイピングOSS】 ScrapeCraftは、ブラウザ上でスクレイピングのワークフローを組み立て、自然言語からコード生成と実行まで扱えるオープンソースの編集ツール。バックエンドにFastAPIとLangGraph、ScrapeGraphAIを採用し、AIアシスタントがパイプライン構築を支援する。
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Earlier, when I was building my KubeCon Talk Abstract app, I had to manually scrape past talk data from Sched which was super messy and time-consuming. I recently discovered open-source @scrapegraphai Smart Scraper. It writes the code and scrapes everything for me in just a few
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🧠 Ever wondered how TweetCraft actually works behind the scenes? Here’s the full AI-powered flow that turns your data into viral, personalized tweets 🚀 🔹 Data Layer – ScrapeGraphAI collects tweets & extracts engagement data 🔹 Analysis Layer – Nebius AI analyzes writing style
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Beautiful Opensource Tool, ScrapeGraphAI with 16.2K Github stars 🌟 Turns natural language commands into production-ready web scrapers using LLM-powered graph pipelines. This library stands out by integrating Large Language Models (LLMs) and modular graph-based pipelines to
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🕷️ ScrapeGraphAI You Only Scrape Once ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites, documents and XML files. Just say which information you want to extract and the library will do it for you!
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Beautiful Opensource Tool, ScrapeGraphAI Turns natural language commands into production-ready web scrapers using LLM-powered graph pipelines. → ScrapeGraphAI builds web scraping pipelines using LLMs and directed graph logic. → It extracts information from websites and local
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If you are building AI Agents using @AgnoAgi, and need a good built in tool for LLM based scraping then using @scrapegraphai `ScrapeGraphTools`, your Agno agents can: - Scrape any website - Extract structured data for reasoning tasks - Handle logins and clicks Here’s how 👇
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It takes just one line to automate browser actions & scrape any site ✨ @scrapegraphai Agentic Scraper can: - Handle logins & complex actions - Navigate + click + scroll + fill forms - Extract results as markdown - Use AI for structured data Here’s how 👇
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Claude Code looked into my entire Automated Newsletter repo and suggested the best Open Source Scraper with no API costs. Firecrawl vs ScrapegraphAI
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🚀 ScrapeGraphAI API Integration ScrapeGraphAI is a web scraping library that uses LLMs to scape websites and local documents (XML, HTML, JSON, Markdown, etc Just say which information you want to extract and the library will do it for you! https://t.co/M6TvrIzEtM
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ScrapeGraphAI - 基于AI的Python抓取工具，只需说出您要提取的信息，即可自动提取，可通过接口（OpenAI、Groq、Azure、Gemini）或使用 Ollama 的本地模型来使用不同的 LLM。 📂 资源: AI爬虫工具 v1.5.7 🌐 地址: https://t.co/gReF8Jrfqp
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Ape’d into this tech by @twcraft_agent on AI powered content creation machine. Backed by @composiohq, @scrapegraphai, @nebiusaistudio and @heygibsonai that’s some serious brainpower behind it. 9SkQVH8wecWdgj2TYGZGoqohgrAKZdNSReSAmfWXpump https://t.co/tXYiVzvWZe
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If you are building AI Agents using @crewAIInc, and need a good built in tool for LLM based web scraping then using @scrapegraphai ScrapegraphScrapeTool, your Crew agents can: - Scrape any site - Extract structured data for reasoning - Handle logins, clicks Here’s how 👇
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ScrapeGraphAI: LLM and Graph Powered Web Scraping Python Library 📚 ScrapeGraphAI is a robust web scraping Python library that employs Large Language Models (LLM) and direct graph logic to create scraping pipelines for websites, documents, and XML files. Unlike rigid methods
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It takes just one line to crawl entire websites with AI ✨ @scrapegraphai SmartCrawler can: - Traverse multiple pages & follow links - Extract structured data with LLMs - Convert HTML → clean markdown (80% cheaper) Here’s how 👇
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ScrapeGraphAI with LangChain ScrapeGraphAI is a web scraping python library. ScrapeGraphAI uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Now you can use ScrapeGraphAI with LangChain, one of the
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Started Working on a New Project using @heygibsonai Memori, @composiohq , @nebiusaistudio & @scrapegraphai Will be sharing more details soon!
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