Donweb Median8n sin API: cómo automatizar software SaaS en 2026
Cómo usar n8n con software SaaS que no tiene API: HTTP scraping, Firecrawl nativo y servicios especializados. Métodos, límites y casos reales explicados.
sayzard0xMarioNawfal (@RoundtableSpace)
Firecrawl이 Rust 기반 PDF 파서를 출시했다. PDF를 마크다운으로 5배 더 빠르게 변환하고, 표를 추출하며 수식까지 보존하고, 설정 없이 바로 사용할 수 있어 AI 파이프라인의 핵심 병목인 PDF 처리 문제를 크게 개선할 수 있다.
0xMarioNawfal (@RoundtableSpace) on X
Firecrawl just shipped a Rust-based PDF parser & it's not close. - 5x faster PDF to markdown conversion - Extracts full tables and preserves formulas - Zero config required PDF parsing has been a pain point for AI pipelines. This might actually fix it.
HabrКак научить Claude Code работать с вебом и не сжигать на этом лимиты
Попросить LLM-агента типа Claude Code "сходи в интернет и собери мне данные" - это как играть в казино. Иногда везет, и ты получаешь то что искал. А иногда сжигаешь половину дневного лимита на двух сайтах, упираешься в антибот защиту и в итоге получаешь кашу из тегов вперемешку с куском нужного контента. Любой, кто пробовал натравить LLM-агента на сайт, знает это чувство: даешь простую задачу - собери данные с такой-то страницы. Агент бодро рапортует, что работа кипит. Проходит минута, две, он пошел по соседним ссылкам, начал сам что-то искать, что-то быстро перебирает, и в итоге половину сайтов он не смог открыть, половина второй половины - это мусор и только крупица нужной информации. В этой статье я предложу вам один способ, которым пользуюсь сам и который хорошо ( почти всегда ) решает эту проблему.
https://habr.com/ru/articles/1020598/
#claude_code #claude_code_skills #mcp #Firecrawl #вебскрапинг #aiагенты #llm #anthropic #вебпоиск
Wes Roth (@WesRoth)
Firecrawl이 새 Firecrawl CLI를 출시했습니다. 이 툴킷은 Claude Code, Codex, OpenCode 등 AI 에이전트들이 웹 데이터를 고품질로 활용할 수 있도록 웹페이지를 원시 HTML 대신 LLM 친화적 Markdown 등으로 변환해 제공하는 것을 목표로 합니다. 에이전트용 웹 데이터 파이프라인 개선을 겨냥한 실무용 도구입니다.
Wes Roth (@WesRoth) on X
Firecrawl has launched its new Firecrawl CLI, a comprehensive toolkit designed to give AI agents (like Claude Code, Codex, and OpenCode) seamless, high-fidelity access to web data. Rather than just returning raw HTML, the CLI converts any webpage into clean, LLM-ready Markdown or
Orendra SinghHack the Stackathon is a one-day stress test for builders.
https://orendra.com/blog/hack-the-stackathon-is-a-one-day-stress-test-for-builders/ #hackathon #yc #lovable #firecrawl @ycombinator
https://orendra.com/blog/hack-the-stackathon-is-a-one-day-stress-test-for-builders/ #hackathon #yc #lovable #firecrawl @ycombinator
Hack the Stackathon is a one-day stress test for builders
Hack the Stackathon is a one day builder event focused on shipping real AI powered systems, not demos. It brings together serious builders to stress test ideas using real infrastructure for web data, documents, and communication, all inside a single intense day.
Signal DigitalLovable Connectors: ElevenLabs, Perplexity, and Firecrawl
https://signaldigital.net/2025/12/24/lovable-connectors-elevenlabs-perplexity-and-firecrawl/
michabbb🔌 #Firecrawl integration for web scraping and search: standard API key setup for contributors, partner integration option for production deployments with per-user API key management, automatic key provisioning on signup, self-healing system with fallback for invalid keys
🔍 #OpenScouts: Create #AI scouts that continuously search the web and notify you when they find what you're looking for #opensource #NextJS #React #TypeScript #Supabase #OpenAI #Firecrawl
⚡ Built with cutting-edge tech stack: #NextJS 16 with App Router & Turbopack, #React 19, #TypeScript, #TailwindCSS v4, #Supabase for database, auth & edge functions, #pgvector for vector embeddings and semantic search, #OpenAI API for AI agent & embeddings, and Resend for email notifications
🧵 👇
🎯 Supported models include #GPT-OSS-120B, #GPT-OSS-20B, #Llama4 Maverick, #Llama4 Scout, #Llama33-70B, #Llama31-8B, #KimiK2, #Qwen3-32B
🔧 Key features: deterministic inference for faster tool-using agents, cost-effective scaling, approved tool use with clear allowlists, seamless migration capability
📋 Ready-to-use cookbook tutorials with #BrowserBase #MCP, #BrowserUse #MCP, #Exa #MCP, #Firecrawl #MCP, #HuggingFace #MCP, #Parallel #MCP, #Stripe #MCP, #Tavily #MCP
aaron ~# 
Making the most out of a small LLM
Yesterday i finally built my own #AI #server. I had a spare #Nvidia RTX 2070 with 8GB of #VRAM laying around and wanted to do this for a long time.
The problem is that most #LLMs need a lot of VRAM and i don't want to buy another #GPU just to host my own AI. Then i came across #gemma3 and #qwen3. Both of these are amazing #quantized models with stunning reasoning given that they need so less resources.
I chose huihui_ai/qwen3-abliterated:14b since it supports #deepthinking, #toolcalling and is pretty unrestricted. After some testing i noticed that the 8b model performs even better than the 14b variant with drastically better performance. I can't make out any quality loss there to be honest. The 14b model sneaked in chinese characters into the response very often. The 8b model on the other hand doesn't.
Now i've got a very fast model with amazing reasoning (even in German) and tool calling support. The only thing left to improve is knowledge. #Firecrawl is a great tool for #webscraping and as soon as i implemented websearching, the setup was complete. At least i thought it was.
I want to make the most out of this LLM and therefore my next step is to implement a basic #webserver that exposes the same #API #endpoints as #ollama so that everywhere ollama is supported, i can point it to my python script instead. This way it feels like the model is way more capable than it actually is. I can use these advanced features everywhere without being bound to it's actual knowledge.
To improve this setup even more i will likely switch to a #mixture_of_experts architecture soon. This project is a lot of fun and i can't wait to integrate it into my homelab.
#homelab #selfhosting #privacy #ai #llm #largelanguagemodels #coding #developement