[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fD95647zpMPspJL7xZQpdudW9GEawHmHGgePLb3chVmU":3,"tool-crawl4ai":16},{"siteName":4,"siteDescription":5,"siteUrl":6,"contactEmail":7,"socialLinks":8,"analyticsCode":10,"seo":11},"AllAI App","Call 500+ AI models through one compliant API KEY. Discover 35,000+ AI tools across 21 categories. Compare, test all ai app in one platform.","https:\u002F\u002Fallaiapp.com","contact@allaiapp.com",{"twitter":9,"github":9,"discord":9,"linkedin":9,"youtube":9},"","\u003C!-- Google tag (gtag.js) -->\n\u003Cscript async src=\"https:\u002F\u002Fwww.googletagmanager.com\u002Fgtag\u002Fjs?id=G-3NJE4SY4LE\">\u003C\u002Fscript>\n\u003Cscript>\n  window.dataLayer = window.dataLayer || [];\n  function gtag(){dataLayer.push(arguments);}\n  gtag('js', new Date());\n\n  gtag('config', 'G-3NJE4SY4LE');\n\u003C\u002Fscript>\n\u003C!-- Baidu Tongji (hm.js) -->\n\u003Cscript>\nvar _hmt = _hmt || [];\n(function() {\n  var hm = document.createElement(\"script\");\n  hm.src = \"https:\u002F\u002Fhm.baidu.com\u002Fhm.js?ee51358c8d4491dea1125cfc1d47a169\";\n  var s = document.getElementsByTagName(\"script\")[0];\n  s.parentNode.insertBefore(hm, s);\n})();\n\u003C\u002Fscript>",{"titleTemplate":12,"metaKeywords":13,"ogImage":14,"twitterSite":9,"defaultRobots":15,"googleVerify":9,"bingVerify":9,"baiduVerify":9,"organizationLogo":14},"%s | AllAI App","AI KEY,AI API KEY,Deepseek Key,Chatgpt Key,OpenAi Key,AI tools, AI directory, AI API gateway, AI models, artificial intelligence,","https:\u002F\u002Fallaiapp.com\u002Fog-image.png","index, follow",{"tool":17,"related":227},{"slug":18,"name":19,"cnName":20,"cn_name":20,"url":21,"pricingUrl":21,"github":21,"logo":9,"category":22,"subcategory":9,"categories":23,"pricing":25,"priceFrom":26,"accent":27,"platforms":28,"inputs":33,"outputs":36,"languages":40,"tags":43,"capabilities":52,"rating":26,"votes":26,"reviewCount":26,"saves":26,"monthlyVisits":26,"foundedYear":26,"founded":9,"developer":53,"status":54,"editorPick":55,"featured":56,"verified":56,"addedAt":57,"lastUpdated":57,"updatedAt":57,"en":58,"zh":142},"crawl4ai","Crawl4AI","Crawl4AI 大模型爬虫","https:\u002F\u002Fgithub.com\u002Funclecode\u002Fcrawl4ai","code",[22,24],"research","free",0,"#22C55E",[29,30,31,32],"Web","CLI","Self-hosted","Python",[34,35],"URL","Text",[37,38,39],"Data","Markdown","Code",[41,42],"中文","English",[44,45,46,47,48,49,50,51],"crawler","LLM","async","markdown","RAG","no api key","开源爬虫","大模型",[],"unclecode","active",true,false,"2026-09-13",{"tagline":59,"description":60,"features":61,"pros":86,"cons":92,"useCases":97,"pricingTiers":113,"faq":129},"A free, open-source crawler built for LLMs: async, extremely fast, turns any site into clean markdown or structured JSON locally, with no API key or account.","Crawl4AI is an open-source Python crawler created specifically to feed large language models. It drives a browser asynchronously to render JavaScript-heavy pages and converts them into clean, LLM-friendly markdown or structured JSON, with configurable extraction strategies, chunking, metadata and screenshots. Because it runs on your own machine there is no API key, no account and no per-page fee — a point its author famously made after being frustrated by paid scraping services. It integrates with LangChain and similar frameworks and is optimized for high-throughput, cost-free local pipelines.",[62,65,68,71,74,77,80,83],{"title":63,"desc":64},"100% local & free","No API key, account or per-page charges; runs on your infrastructure.",{"title":66,"desc":67},"Async by design","Concurrent browser crawling makes bulk collection fast.",{"title":69,"desc":70},"LLM-first output","Clean markdown plus structured JSON tuned for RAG context windows.",{"title":72,"desc":73},"Smart extraction","CSS\u002FLLM extraction strategies turn pages into typed records.",{"title":75,"desc":76},"JS rendering","Loads dynamic content before reading the DOM.",{"title":78,"desc":79},"Chunking & metadata","Built-in content chunking, citations and page metadata.",{"title":81,"desc":82},"Framework friendly","Plugs into LangChain, LlamaIndex and agent pipelines.",{"title":84,"desc":85},"Highly configurable","Control browser, hooks, filters, screenshots and caching.",[87,88,89,90,91],"Completely free and self-hosted with no usage meter.","Fast async architecture for large batches.","Output is already optimized for LLM ingestion.","Active open-source community and examples.","Avoids sending data to a third-party SaaS.",[93,94,95,96],"Needs Python\u002Fbrowser setup and some coding.","Rendering many pages locally is RAM\u002FCPU heavy.","Anti-bot protected sites still need extra measures.","You operate proxies and politeness yourself.",[98,101,104,107,110],{"user":99,"desc":100},"RAG developers","Build free, local ingestion into vector databases.",{"user":102,"desc":103},"LLM app teams","Generate clean context without recurring API bills.",{"user":105,"desc":106},"Data engineers","Bulk-render JS sites into structured datasets.",{"user":108,"desc":109},"AI researchers","Reproducible open-web collection for experiments.",{"user":111,"desc":112},"Startups","Keep scraping cost near zero at early scale.",[114,119,124],{"name":115,"price":116,"period":9,"features":117},"Open source","Free",[118,31],"Apache-style OSS",{"name":120,"price":116,"period":9,"features":121},"Self-hosted at scale",[122,123],"Your own servers","No per-page fee",{"name":125,"price":126,"period":9,"features":127},"Managed\u002Fcredits","Optional",[128],"Community offerings, see repo",[130,133,136,139],{"q":131,"a":132},"How is Crawl4AI different from Firecrawl?","It is fully local and free with no API key, focused on async LLM-ready crawling in Python.",{"q":134,"a":135},"Does it render JavaScript?","Yes, it drives a browser asynchronously before converting to markdown\u002FJSON.",{"q":137,"a":138},"Does it cost anything?","The open-source tool is free; you only pay for your own infrastructure.",{"q":140,"a":141},"Who is it for?","Developers building RAG\u002FLLM pipelines who want full local control.",{"tagline":143,"description":144,"features":145,"pros":170,"cons":176,"useCases":181,"pricingTiers":197,"faq":214},"免费开源、为大模型而生的爬虫：异步极速，本地把任意网站转成干净 Markdown 或结构化 JSON，无需 API Key、无需账户。","Crawl4AI 是专为喂养大模型而做的开源 Python 爬虫。它异步驱动浏览器渲染 JS 重页面，转成干净、对 LLM 友好的 Markdown 或结构化 JSON，并提供可配置的抽取策略、分块、元数据与截图。因为完全在本机运行，所以无需 API Key、账户或按页付费——作者正是被付费爬虫服务激怒后几天内做出了它。它可与 LangChain 等框架集成，面向高吞吐、零成本的本地数据管线优化。",[146,149,152,155,158,161,164,167],{"title":147,"desc":148},"完全本地免费","无API Key\u002F账户\u002F按页费用，跑在自己机器上。",{"title":150,"desc":151},"原生异步","并发浏览器抓取，批量采集快。",{"title":153,"desc":154},"LLM优先输出","干净Markdown+结构化JSON，适配RAG上下文。",{"title":156,"desc":157},"智能抽取","CSS\u002FLLM抽取策略把页面变成定型记录。",{"title":159,"desc":160},"渲染JS","读取DOM前先加载动态内容。",{"title":162,"desc":163},"分块与元数据","内置内容分块、引用与页面元信息。",{"title":165,"desc":166},"框架友好","接入LangChain\u002FLlamaIndex与Agent管线。",{"title":168,"desc":169},"高度可配","浏览器、钩子、过滤、截图、缓存均可调。",[171,172,173,174,175],"完全免费自托管，没有用量计费。","异步架构，大批量速度快。","输出已为LLM摄入优化。","开源社区活跃、示例多。","数据不经过第三方SaaS。",[177,178,179,180],"需要Python\u002F浏览器环境与一定编码。","本地多页渲染较吃内存CPU。","强反爬站点仍需额外手段。","代理与礼貌抓取要自己负责。",[182,185,188,191,194],{"user":183,"desc":184},"RAG开发者","免费搭建本地向量化摄入。",{"user":186,"desc":187},"LLM应用团队","免持续账单生成干净上下文。",{"user":189,"desc":190},"数据工程师","批量把JS网站渲染成结构化数据。",{"user":192,"desc":193},"AI研究","可复现地采集开放网络做实验。",{"user":195,"desc":196},"初创团队","早期把抓取成本压到接近零。",[198,204,209],{"name":199,"price":200,"period":9,"features":201},"开源","免费",[202,203],"开源许可","自托管",{"name":205,"price":200,"period":9,"features":206},"规模化自建",[207,208],"自有服务器","无按页费",{"name":210,"price":211,"period":9,"features":212},"托管\u002F额度","可选",[213],"社区方案，见仓库",[215,218,221,224],{"q":216,"a":217},"和Firecrawl区别？","它完全本地免费、无需API Key，专注Python异步的LLM就绪抓取。",{"q":219,"a":220},"能渲染JS吗？","能，异步驱动浏览器后再转Markdown\u002FJSON。",{"q":222,"a":223},"要花钱吗？","开源工具免费，你只承担自己的基础设施成本。",{"q":225,"a":226},"适合谁？","想完全本地掌控、搭建RAG\u002FLLM管线的开发者。",[228,253,297,320,341,366,390,415,439,461,489,517],{"slug":229,"name":230,"cnName":231,"category":22,"categories":232,"subcategory":9,"pricing":25,"url":234,"logo":9,"accent":235,"tags":236,"rating":26,"saves":26,"featured":56,"editorPick":56,"priceFrom":26,"reviewCount":26,"updatedAt":57,"verified":56,"platforms":243,"monthlyVisits":26,"inputs":244,"outputs":245,"en":246,"zh":249,"similarity":252},"markitdown","MarkItDown","微软 MarkItDown 文档转Markdown",[22,233],"productivity","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fmarkitdown","#0F6CBD",[47,237,238,239,240,48,45,241,242],"document conversion","pdf","office","ocr","格式转换","微软",[30,32,31],[34,35],[37,38,39],{"tagline":247,"description":248},"Microsoft's open-source tool that converts almost anything — PDF, Office docs, images (OCR), HTML, audio, archives and web pages — into clean Markdown for LLMs.","MarkItDown is a lightweight Microsoft open-source library\u002FCLI that transforms a very wide range of files into uniform Markdown so they can be fed to language models: Word, PowerPoint, Excel, PDF, HTML, CSV\u002FJSON\u002FXML, images (with OCR\u002Fdescriptions), audio (with transcription), EPUB, ZIP archives and more, plus web-page URLs. It optionally embeds metadata and image descriptions, is pip-installable and scriptable in Python, and has become a common first stage in RAG and document-AI pipelines where messy source formats must become clean text.",{"tagline":250,"description":251},"微软开源工具，把几乎一切——PDF、Office文档、图片(OCR)、HTML、音频、压缩包和网页——统一转成干净 Markdown 喂给大模型。","MarkItDown 是微软开源的轻量库\u002F命令行工具，能把极多种文件统一转成 Markdown 以便喂给语言模型：Word、PowerPoint、Excel、PDF、HTML、CSV\u002FJSON\u002FXML、图片（OCR\u002F描述）、音频（转写）、EPUB、ZIP 压缩包乃至网页URL。它可选择性保留元数据与图片描述，pip 即可安装、可用 Python 调用，已成为 RAG 与文档AI管线中“把杂乱源格式变成干净文本”的常见第一步。",41,{"slug":254,"name":255,"cnName":256,"category":22,"categories":257,"subcategory":9,"pricing":25,"url":258,"logo":9,"accent":259,"tags":260,"rating":273,"saves":274,"featured":56,"editorPick":56,"priceFrom":116,"reviewCount":26,"updatedAt":57,"platforms":275,"monthlyVisits":9,"inputs":279,"outputs":280,"siteHealth":283,"en":290,"zh":293,"similarity":296},"mediacrawler","MediaCrawler","MediaCrawler 自媒体爬虫",[22,24],"https:\u002F\u002Fgithub.com\u002FNanmiCoder\u002FMediaCrawler","#0EA5E9",[261,44,262,263,264,265,266,267,268,269,270,271,272],"web scraper","xiaohongshu","douyin","bilibili","weibo","zhihu","playwright","social media","爬虫","小红书","抖音","舆情",4.4,7793,[276,277,278,30],"Windows","macOS","Linux",[35,34],[37,281,282],"CSV","JSON",{"status":284,"http":285,"latencyMs":286,"finalUrl":258,"checkedAt":287,"title":288,"lang":289},"alive",200,559,"2026-09-29T17:30:09Z","GitHub - NanmiCoder\u002FMediaCrawler: 小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎","en",{"tagline":291,"description":292},"An open-source Python crawler for seven major Chinese social platforms — Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba and Zhihu — driven by a real Playwright browser so no signature reverse-engineering is needed.","MediaCrawler (by NanmiCoder, ~60k GitHub stars) is a widely used self-media data-collection framework for the Chinese internet. It covers seven platforms — Xiaohongshu (RED), Douyin, Kuaishou, Bilibili, Weibo, Baidu Tieba and Zhihu — and can gather posts, videos, notes, comments (including second-level replies), creator-homepage content and search results. Instead of manually reverse-engineering each platform's encrypted signatures, it uses Playwright to drive a real browser, keeps the logged-in context (QR-code or cookie login, cached for reuse) and obtains encryption parameters by evaluating JavaScript, which greatly lowers the barrier. Across platforms it supports keyword search, crawl-by-post-ID, creator-homepage crawl, login-state caching, an IP proxy pool and comment word-cloud generation, with results saved to CSV\u002FJSON or MySQL\u002FPostgreSQL\u002FSQLite. Setup uses Python 3.11 (uv recommended), Node.js 16+ for some platforms and Playwright browsers. The project is open for learning and research on public data only; commercial use requires authorization, and users must respect each platform's terms, data-protection law and account-safety rules.",{"tagline":294,"description":295},"开源的中文自媒体爬虫框架，一套代码覆盖小红书、抖音、快手、B站、微博、贴吧、知乎7大平台，用 Playwright 驱动真实浏览器，免去手写加密签名逆向。","MediaCrawler（作者 NanmiCoder，GitHub 约6万 star）是国内使用极广的自媒体数据采集框架，覆盖小红书、抖音、快手、B站、微博、百度贴吧、知乎7大平台，可采集笔记\u002F视频\u002F帖子、评论（含二级评论回复）、创作者主页内容与搜索结果。它不手工逆向各平台加密签名，而是用 Playwright 驱动真实浏览器、保留登录上下文（扫码或Cookie登录并缓存复用），通过执行JS表达式获取加密参数，大幅降低逆向门槛。各平台普遍支持关键词搜索、按帖子\u002F视频ID采集、创作者主页采集、登录态缓存、IP代理池、评论词云图，结果可存为 CSV\u002FJSON 或 MySQL\u002FPostgreSQL\u002FSQLite。环境建议 Python 3.11（推荐 uv 管理依赖）、部分平台需 Node.js 16+ 并安装 Playwright 浏览器。项目仅面向公开数据的学习与研究，商用需单独授权，使用时须遵守各平台条款、数据合规法律与账号安全规则。",35,{"slug":298,"name":299,"cnName":300,"category":22,"categories":301,"subcategory":9,"pricing":25,"url":302,"logo":9,"accent":303,"tags":304,"rating":26,"saves":26,"featured":56,"editorPick":56,"priceFrom":26,"reviewCount":26,"updatedAt":57,"verified":56,"platforms":311,"monthlyVisits":26,"inputs":312,"outputs":313,"en":314,"zh":317,"similarity":296},"scrapy","Scrapy","Scrapy 工业级爬虫框架",[22],"https:\u002F\u002Fscrapy.org","#A32020",[305,306,307,308,46,309,310],"crawling framework","spider","middleware","pipelines","爬虫框架","数据采集",[32,30],[34,35],[37,38,39],{"tagline":315,"description":316},"The battle-tested open-source Python crawling framework powering data teams for 15+ years: fast async spiders, middleware, pipelines and exports at massive scale.","Scrapy is the classic industrial-strength web-crawling framework for Python. A project is built from Spiders that emit requests and parse responses, with an async engine that fetches many pages concurrently, a middleware layer for cookies, headers, user-agent spoofing, retries, caching and robots.txt, and item pipelines that clean, validate and export data to JSON, CSV, XML or databases. Huge extension ecosystem (e.g. scrapy-playwright for JavaScript pages), built-in caching, throttling and telnet console make it the standard choice when reliability and scale matter more than a quick one-off script.",{"tagline":318,"description":319},"15年以上久经考验的开源Python爬虫框架：高速异步蜘蛛、中间件、数据管道与大规模导出，数据团队的工业级标准。","Scrapy 是经典的工业级 Python 网络爬取框架。一个工程由若干“蜘蛛(Spider)”组成：发出请求、解析响应；异步引擎高并发抓取大量页面；中间件层处理 Cookie、请求头、UA伪装、重试、缓存与robots；数据管道负责清洗、校验并把条目导出为 JSON\u002FCSV\u002FXML 或写入数据库。庞大的扩展生态（如 scrapy-playwright 支持JS页面）、内置缓存、限速与Telnet控制台，使其成为“要可靠、要规模、而非一次性脚本”时的标准选择。",{"slug":321,"name":322,"cnName":322,"category":22,"categories":323,"subcategory":9,"pricing":25,"url":324,"accent":259,"tags":325,"rating":329,"saves":26,"featured":56,"editorPick":56,"priceFrom":26,"reviewCount":26,"updatedAt":330,"verified":56,"platforms":331,"inputs":332,"outputs":333,"en":334,"zh":337,"similarity":340},"freellm","FreeLLM",[22],"https:\u002F\u002Ffreellm.net",[45,326,327,328],"API","free models","providers",4.5,"2026-10-30",[29,326],[],[],{"tagline":335,"description":336},"Free LLM API & free AI API directory — compare free models from Google, Groq, OpenRouter, NVIDIA and more.","FreeLLM is a directory of free LLM APIs and free AI APIs. It lists free models from Google, Groq, OpenRouter, NVIDIA and others, with comparison across rate limits, context sizes and capabilities, so developers can pick the right free tier for their project.",{"tagline":338,"description":339},"免费 LLM API 目录——横向比较 Google、Groq、OpenRouter、NVIDIA 等厂商的免费模型。","FreeLLM 是免费 LLM API 和免费 AI API 的目录，收录 Google、Groq、OpenRouter、NVIDIA 等厂商的免费模型，对比速率限制、上下文长度与能力，帮助开发者挑选适合项目的免费档位。",33,{"slug":342,"name":343,"cnName":344,"category":22,"categories":345,"subcategory":9,"pricing":25,"url":346,"logo":9,"accent":347,"tags":348,"rating":26,"saves":26,"featured":56,"editorPick":56,"priceFrom":26,"reviewCount":26,"updatedAt":57,"verified":56,"platforms":354,"monthlyVisits":26,"inputs":357,"outputs":358,"en":359,"zh":362,"similarity":365},"crawlee","Crawlee","Crawlee 生产级爬虫框架",[22],"https:\u002F\u002Fcrawlee.dev","#7C3AED",[349,350,351,267,352,309,353],"scraping framework","proxy rotation","headless browser","puppeteer","防封",[355,356,32,30],"JavaScript","TypeScript",[34,35],[37,38,39],{"tagline":360,"description":361},"A production-grade web-scraping and browser-automation library for JavaScript\u002FTypeScript and Python, by Apify — queues, retries, proxy rotation and fingerprints built in.","Crawlee is a free, Apache-2.0 scraping framework (by Apify) that handles the hard parts of crawling at scale: persistent request queues (breadth\u002Fdepth first), auto-scaling concurrency, automatic retries and error handling, integrated proxy rotation and session pooling, and browser-fingerprint management so crawlers look human. It offers one interface across fast HTTP\u002FCheerio crawling and headless Puppeteer\u002FPlaywright crawling, plus pluggable datasets, key-value stores, Dockerfiles and a CLI to bootstrap projects — scaling from a single page to millions of URLs without swapping tools.",{"tagline":363,"description":364},"Apify 出品的生产级网页抓取与浏览器自动化库（JS\u002FTS 与 Python）：队列、重试、代理轮换、浏览器指纹一应俱全。","Crawlee 是 Apify 出品的免费 Apache-2.0 抓取框架，专门解决大规模爬取的难题：持久化请求队列（广度\u002F深度优先）、按资源自动扩缩并发、自动重试与错误处理、内置代理轮换与会话池、浏览器指纹管理让爬虫更像真人。它用统一接口同时覆盖快速的 HTTP\u002FCheerio 抓取与无头 Puppeteer\u002FPlaywright 抓取，并自带数据集、键值存储、Dockerfile 与项目脚手架CLI，从单页到百万URL无需换工具。",32,{"slug":367,"name":368,"cnName":369,"category":22,"categories":370,"subcategory":9,"pricing":25,"url":371,"logo":9,"accent":372,"tags":373,"rating":26,"saves":26,"featured":56,"editorPick":56,"priceFrom":26,"reviewCount":26,"updatedAt":57,"verified":56,"platforms":381,"monthlyVisits":26,"inputs":382,"outputs":383,"en":384,"zh":387,"similarity":365},"scrapling","Scrapling","Scrapling 自适应爬虫",[22],"https:\u002F\u002Fgithub.com\u002FD4Vinci\u002FScrapling","#F59E0B",[374,375,376,377,267,378,379,380],"adaptive scraper","self-healing","anti-bot","cloudflare","MCP","自适应爬虫","反爬",[32,30,31],[34,35],[37,38,39],{"tagline":385,"description":386},"The first adaptive, self-healing Python scraping library: it relocates elements after a site redesign and ships stealth fetchers that bypass Cloudflare-level anti-bot.","Scrapling solves the two costliest problems in production scraping: getting the response and keeping selectors alive. Its fast lxml-based parser supports CSS\u002FXPath\u002Fregex\u002Ftext queries; when a website changes layout, an adaptive mode (adaptive=True) uses element fingerprints — structure, text patterns, sibling relations — to automatically relocate the same element, so spiders are 'redesign-proof'. Three progressive fetcher tiers cover plain HTTP, full-browser Playwright and a StealthyFetcher (Camoufox-based) that hides CDP\u002FWebRTC leaks and clears Cloudflare Turnstile\u002FInterstitial automatically. It also offers a Scrapy-style spider framework with pause\u002Fresume and proxy rotation, sessions and an MCP server for AI extraction (BSD-3).",{"tagline":388,"description":389},"首个自适应、自愈的Python爬虫库：网站改版后能自动重新定位元素，内置隐秘抓取器可绕过 Cloudflare 级反爬。","Scrapling 解决生产爬虫最烧钱的两件事：拿到响应、让选择器一直有效。它基于 lxml 的高速解析器支持 CSS\u002FXPath\u002F正则\u002F文本查询；当网站改版时，自适应模式(adaptive=True)用元素指纹——结构、文本规律、兄弟节点关系——自动重新定位同一元素，让爬虫“对改版免疫”。三个渐进增强的抓取层覆盖纯HTTP、完整Playwright浏览器、以及基于 Camoufox 的 StealthyFetcher（隐藏 CDP\u002FWebRTC 泄漏、自动过 Cloudflare Turnstile\u002FInterstitial）。还提供类Scrapy蜘蛛框架（可暂停\u002F续跑、代理轮换）、会话管理，以及用于AI抽取的 MCP 服务（BSD-3）。",{"slug":391,"name":391,"cnName":392,"category":22,"categories":393,"subcategory":9,"pricing":25,"url":394,"logo":9,"accent":395,"tags":396,"rating":26,"saves":26,"featured":56,"editorPick":56,"priceFrom":26,"reviewCount":26,"updatedAt":57,"verified":56,"platforms":405,"monthlyVisits":26,"inputs":407,"outputs":408,"en":409,"zh":412,"similarity":365},"scrcpy","scrcpy 安卓投屏控制",[22,233],"https:\u002F\u002Fgithub.com\u002FGenymobile\u002Fscrcpy","#16A34A",[397,398,399,400,401,402,403,404],"android","screen mirror","adb","remote control","mobile bridge","no root","安卓投屏","移动采集",[276,277,278,406],"Android",[34,35],[37,38,39],{"tagline":410,"description":411},"Genymobile's open-source tool to display and fully control Android devices from a computer over USB or Wi-Fi — no root, low latency, with audio and recording.","scrcpy (Genymobile\u002FGenymotion) mirrors and lets you control Android phones\u002Ftablets from a Windows\u002FMac\u002FLinux computer over USB or TCP, with no root access and very low latency by sending H.264\u002FH.265 video from the device. It supports keyboard\u002Fmouse input, clipboard sync, file drag-and-drop, screen recording, Android 11+ audio forwarding, multi-device and wireless (adb) connections. For data work it is a bridge to mobile-only apps and content that ordinary web crawlers cannot reach, letting you automate or observe the Android UI on a desktop.",{"tagline":413,"description":414},"Genymobile 开源工具：通过USB或Wi-Fi在电脑上显示并完整操控安卓设备，无需root、低延迟，支持音频与录屏。","scrcpy（Genymobile\u002FGenymotion）可在 Windows\u002FMac\u002FLinux 上通过 USB 或 TCP 镜像并操控安卓手机\u002F平板，无需 root，借助设备端 H.264\u002FH.265 视频流实现极低延迟。支持键鼠输入、剪贴板同步、文件拖拽、屏幕录制、Android 11+ 音频转发、多设备与无线(adb)连接。在数据采集中，它是通往“纯移动App与内容”的桥梁——普通网页爬虫够不到的移动端，可在桌面上观察或自动化安卓界面。",{"slug":416,"name":417,"cnName":418,"category":22,"categories":419,"subcategory":9,"pricing":25,"url":420,"logo":9,"accent":421,"tags":422,"rating":26,"saves":26,"featured":56,"editorPick":56,"priceFrom":26,"reviewCount":26,"updatedAt":57,"verified":56,"platforms":430,"monthlyVisits":26,"inputs":431,"outputs":432,"en":433,"zh":436,"similarity":365},"autoscraper","AutoScraper","AutoScraper 示例智能爬虫",[22],"https:\u002F\u002Fgithub.com\u002Falirezamika\u002Fautoscraper","#0891B2",[423,424,425,426,427,428,429],"smart scraper","example based","no selectors","beginner","rapid prototype","智能爬虫","免选择器",[32,30],[34,35],[37,38,39],{"tagline":434,"description":435},"A 'smart' Python scraper: show it one example result and it learns the pattern to fetch every similar item — no CSS\u002FXPath selectors and almost no code.","AutoScraper is a lightweight, beginner-friendly Python library that learns scraping rules from examples. You give it a URL and one sample of the text you want (a title, a price, a link); it infers the matching rules and returns every similar item on the page, and the learned model can be reused on other pages of the same site. This removes the need to inspect and maintain XPath or CSS selectors for straightforward, repetitive listings, making it a fast 'give me the data' tool for prototypes and small jobs.",{"tagline":437,"description":438},"“聪明”的Python爬虫：给它一个示例结果，它就学会规律并抓出所有同类内容——无需CSS\u002FXPath选择器，几行代码搞定。","AutoScraper 是轻量、对新手友好的 Python 库，用“示例”学习抓取规则：你给它一个网址和一个你想要的样本文本（标题、价格、链接），它推断匹配规则并返回页面上所有同类项，学到的模型还能在同站其他页面复用。对简单重复的列表页，免去查看和维护 XPath\u002FCSS 选择器，是原型和小任务里“直接给我数据”的快捷工具。",{"slug":440,"name":440,"cnName":441,"category":22,"categories":442,"subcategory":9,"pricing":25,"url":443,"logo":9,"accent":444,"tags":445,"rating":26,"saves":26,"featured":56,"editorPick":56,"priceFrom":26,"reviewCount":26,"updatedAt":57,"verified":56,"platforms":451,"monthlyVisits":26,"inputs":453,"outputs":454,"en":455,"zh":458,"similarity":365},"curl-impersonate","curl-impersonate 浏览器指纹请求",[22],"https:\u002F\u002Fgithub.com\u002Flwthiker\u002Fcurl-impersonate","#475569",[446,447,376,448,449,450,380],"TLS fingerprint","JA3","curl","browser impersonation","指纹伪装",[30,32,452,278,277],"Node.js",[34,35],[37,38,39],{"tagline":456,"description":457},"A special curl build with matching browser TLS\u002FJA3 and HTTP\u002F2 fingerprints, so requests look exactly like real Chrome or Firefox and beat TLS-fingerprint blocking.","curl-impersonate is a fork of curl (and companion wrappers) whose TLS client hello, cipher order, extensions and HTTP\u002F2 settings are modified to be byte-identical to real Chrome, Firefox or Safari. Standard HTTP libraries betray themselves through TLS\u002FJA3 and HTTP2 fingerprints even with a normal user-agent; this tool removes that tell, which is the low-level technique many expensive scraping APIs use under the hood. It runs as a drop-in curl replacement or via Python\u002FNode wrappers, helping requests reach sites that block non-browser TLS signatures.",{"tagline":459,"description":460},"特殊版 curl：TLS\u002FJA3 与 HTTP\u002F2 指纹与真实Chrome\u002FFirefox完全一致，让请求看起来就像真人浏览器，突破TLS指纹封锁。","curl-impersonate 是 curl 的分支（及配套封装），把 TLS Client Hello、加密套件顺序、扩展与 HTTP\u002F2 设置改到与真实 Chrome\u002FFirefox\u002FSafari 逐字节一致。普通HTTP库即使改了 User-Agent，也会在 TLS\u002FJA3 与 HTTP2 指纹上露馅；本工具正是抹掉这一破绽——这也是许多昂贵采集API底层秘而不宣的技巧。它可作为 curl 的直接替代，也有 Python\u002FNode 封装，帮助请求抵达那些按非浏览器TLS签名封人的网站。",{"slug":462,"name":463,"category":22,"categories":464,"subcategory":465,"pricing":25,"url":466,"logo":9,"accent":467,"tags":468,"rating":471,"saves":472,"editorPick":56,"priceFrom":116,"reviewCount":26,"updatedAt":9,"platforms":473,"monthlyVisits":9,"inputs":476,"outputs":477,"siteHealth":478,"en":482,"zh":485,"similarity":488},"github-32","PGVector",[],"dev-platforms","https:\u002F\u002Fgithub.com\u002Fpgvector\u002Fpgvector","#9C27B0",[469,470],"AI Code","Developer Tools",4.1,9918,[29,276,474,278,475,406],"Mac","iOS",[35,39],[39,35],{"status":284,"http":285,"latencyMs":479,"finalUrl":466,"checkedAt":480,"title":481,"lang":289},664,"2026-09-29T09:45:15Z","GitHub - pgvector\u002Fpgvector: Open-source vector similarity search for Postgres",{"tagline":483,"description":484},"Postgres vector extension.","Open-source vector similarity search for Postgres. Contribute to pgvector\u002Fpgvector development by creating an account on GitHub.",{"tagline":486,"description":487},"AI驱动的code工具","PGVector 是一个 PostgreSQL 扩展，用于存储和查询向量数据。它支持精确和近似最近邻搜索，并集成了多种索引类型，如 HNSW 和 IVFFlat。该扩展易于安装，无需额外服务，可直接在现有 PostgreSQL 数据库中使用。适用于推荐系统、图像检索和自然语言处理等场景。",31,{"slug":490,"name":491,"category":22,"categories":492,"subcategory":493,"pricing":25,"url":494,"logo":9,"accent":495,"tags":496,"rating":498,"saves":499,"editorPick":56,"priceFrom":116,"reviewCount":26,"updatedAt":9,"platforms":500,"monthlyVisits":9,"inputs":501,"outputs":502,"siteHealth":503,"en":513,"zh":515,"similarity":488},"code-genius","Code Genius",[],"code-assistant","https:\u002F\u002Fwww.code-genius.dev","#00E676",[469,470,497],"Trending",4.7,9905,[29,326],[35,39],[39,35],{"status":504,"http":26,"latencyMs":26,"finalUrl":494,"checkedAt":505,"attempts":506},"error","2026-09-29T09:45:18Z",[507,510,511,512],[508,509],"http",301,[508,509],[508,509],[508,509],{"tagline":514,"description":514},"Streamlines React, Vue JS, and Tailwind CSS development.",{"tagline":486,"description":516},"Code Genius 是一款 AI 驱动的代码工具，专注于简化 React、Vue.js 和 Tailwind CSS 的开发流程。它提供智能代码补全、实时错误检测和代码解释功能，支持 Python、JavaScript、TypeScript 等多种编程语言，帮助开发者提高编码效率，快速理解和修复代码问题。目前免费使用，是开发者的得力助手。",{"slug":518,"name":519,"category":22,"categories":520,"subcategory":521,"pricing":25,"url":522,"logo":9,"accent":523,"tags":524,"rating":527,"saves":528,"editorPick":56,"priceFrom":116,"reviewCount":26,"updatedAt":9,"platforms":529,"monthlyVisits":530,"inputs":531,"outputs":534,"siteHealth":535,"en":540,"zh":543,"similarity":488},"langflow","LangFlow",[233],"ai-agents","https:\u002F\u002Fwww.langflow.org","#00BCD4",[525,526],"AI Agent","Automation",4.3,9855,[29],199498,[35,532,533],"Image","Audio",[35,532,39],{"status":284,"http":285,"latencyMs":536,"finalUrl":537,"checkedAt":538,"title":539,"lang":289},69,"https:\u002F\u002Fwww.langflow.org\u002F","2026-09-29T10:15:07Z","Langflow | Low-code AI builder for agentic and RAG applications",{"tagline":541,"description":542},"Visual LangChain builder.","Langflow is a low-code AI builder for agentic and retrieval-augmented generation (RAG) apps. Code in Python and use any LLM or vector database.",{"tagline":544,"description":545},"AI驱动的agent工具","LangFlow 是一款基于 LangChain 的可视化构建工具，旨在通过直观的拖拽式界面简化 AI 工作流的创建与管理。它支持自主 AI 代理，能够独立完成任务，并允许用户设计自定义自动化流程。同时，LangFlow 可连接外部 API 和服务，扩展功能边界，并提供监控功能，帮助用户跟踪代理性能和任务进度。该工具免费使用，适合希望快速搭建和部署 AI 应用的开发者。"]