Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Find and compare named scrapers using saved evidence; compare APIs, proxies and RAG extractors.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://scraperwatch.com/mcp在终端中运行这条命令
claude mcp add --transport http scraperwatch https://scraperwatch.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"scraperwatch": {
"url": "https://scraperwatch.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"scraperwatch": {
"type": "http",
"url": "https://scraperwatch.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://scraperwatch.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
find_scrapersWhich tracked scrapers have the most recorded 30-day users for a website? Uses the filtered official Apify Store export; data_updated is the saved snapshot timestamp, with age/status in evidence. Returns usage, run completion and billing fields, not live tests. min_success_rate:
compare_scrapersHow do two to five exact actor IDs compare? Uses the filtered official Apify Store export; data_updated and evidence describe the saved snapshot date and age. Reports usage, eligible run completion and compatible result-event rates; unknown/excluded IDs are indistinguishable. Dif
best_scraperWhich tracked actors lead recorded run completion, usage and qualifying price for a website? Uses the filtered official Apify Store export; data_updated and evidence give snapshot date and age. Completion candidates require 300+ runs and 20+ users; price candidates also require 9
compare_scraping_apisWhat do saved scraping API tests report? Uses the saved API benchmark summary and frozen matched ScraperAPI/ScrapingBee report. generated_at/window_days date the aggregate only; matched evidence has its own window. Returns completion/content checks and latency with separate denom
compare_rag_extractorsHow did Firecrawl, Jina Reader and DIY extraction score on saved documentation fixtures? Uses the saved RAG benchmark and hash-checked table audit. Per-vendor last_run dates are source observations; generation time is unknown. Returns text/code/table scores and latency with limit
compare_proxy_providersWhat captured proxy offers cover a product type and optional monthly GB? Uses research/e5/proxies.json; observed_on dates each captured offer, with observations outside the past 30 days omitted. Estimates full saved package bills only; IP offers are separate and unknown costs rem
actor_historyHow have one tracked actor's usage, run completion and primary event price changed by day? Uses compact official Apify Store history exports; dates are snapshot filenames, not verified per-actor observation times. days is a UTC calendar window ending today (1-365). Missing days s
list_websitesWhich websites are in the filtered scraper export, and how many actors and summed 30-day users does each have? Uses saved official Apify Store statistics from latest.json. Counts reflect that snapshot, not live coverage; this response has no date field. Summed actor users are not
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册中心没有列出源代码仓库,因此无法将发布者(scraperwatch.com)与代码对应起来
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 385 毫秒内响应(HTTP 200)
无需登录
已读取 8 个工具描述,未发现针对 AI 的隐藏指令
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.3.0)于17天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Up-to-date docs for AI agents
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
仓库中没有找到 README