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fastCRW
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fastCRW is an open-source Firecrawl and Tavily alternative โ a single 8 MB Rust binary that gives you scrape, crawl, search, and extract APIs behind one drop-in /v1 endpoint. Built for RAG pipelines, LLM agents, research assistants, and any product that needs to read the live web and turn it into clean, model-ready markdown.
The /v1 surface is Firecrawl-compatible, so existing Python and Node SDKs swap in with a base URL change. Scrape returns LLM-ready markdown with optional screenshots, HTML, and link graphs. Crawl walks full sites with sitemap support, robots.txt, dedup, and streaming results. Extract pulls structured data via JSON schema or natural-language prompt. Map returns the URL graph without fetching every page.
The same binary exposes a Tavily-compatible AI search API. Each result already comes back as full clean markdown with relevance scoring โ one round trip, no second scrape pass, no second vendor bill. Perfect for LangChain, LlamaIndex, CrewAI, n8n, Dify, and any agent loop where latency kills UX.
Performance is the headline. On a public 1,000-URL benchmark, fastCRW hits 710 ms p50 and 833 ms average โ roughly 17ร faster than hosted Firecrawl on the same workload. Idle RAM is 6.6 MB, the Docker image is 8 MB, and cold start is sub-second. A $5 VM runs a real production scraping and search API.
Dual-mode by design: managed cloud with 500 free credits per month and linear paid tiers, or self-host the entire binary under AGPL-3.0 with zero per-request fees. Credits work across scrape, crawl, search, and extract โ one bill, not a stack of vendor invoices.
Open-source web scraping API and AI search API in one Rust binary. Firecrawl alternative, Tavily alternative, self-hostable, and built for the LLM era. Start free at fastcrw.com or clone the GitHub repo and run it yourself.
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Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / 28 days ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / about 1 month ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / 2 months ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / 2 months ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / 2 months ago
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Firecrawl - Turn any website into LLM-ready data.
Vim - Highly configurable text editor built to enable efficient text editing
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
ScrapingBee - ScrapingBee is a Web Scraping API that handles proxies and Headless browser for you, so you can focus on extracting the data you want, and nothing else.