# Anakin 发布了 URL Scraper 和 Wire 工具，可将任意网站转化为智能体可直接使用的结构化数据，解决反爬和登录墙等限制

- 来源：Meng Shao
- 发布时间：2026-07-23 21:57
- AIWatch 分数：51
- AIWatch 标记：未精选
- AIWatch 链接：https://aiwatch.icu/events/evt_01ky9nr06tzvyrx535fnkamkp2
- 原文链接：https://x.com/shao__meng/status/2080292182154768594

## 精选理由

低价值或偏离 AI-Dev

## AI 摘要

Anakin 发布了 URL Scraper 和 Wire 工具，可将任意网站转化为智能体可直接使用的结构化数据，解决反爬和登录墙等限制。

## 正文

Loop engineering is about designing systems that run agents autonomously. Instead of prompting your agent manually each turn, you write a loop that finds the work, hands it to the agent, checks what came back, and decides what happens next. Your job is to design the loop once and walk away.

But loops that need live information from the web hit a real constraint. JS-heavy pages return empty content. Anti-bot systems return challenge pages. Login walls block access entirely. When the model gets weak context back, it still responds - just less accurately.

Anakin is building the source-access layer underneath agents.

URL Scraper turns any URL into clean Markdown, HTML, or structured content immediately usable by an LLM. Built for scale across 200M+ active websites globally, including a large chunk of Cloudflare and Akamai-protected pages. Authenticated sessions handle content behind login walls.

Wire handles workflow-heavy sites. Login flows, navigation, form submission, report exports - all accessible through a stable API. Define the workflow once and Wire keeps it working as websites change.

Key capabilities:

• Clean Markdown, HTML, or structured output from 200M+ active websites
• Built for difficult pages including Cloudflare and Akamai-protected sources
• Authenticated sessions for content behind login walls
• Wire for login flows, navigation, form submission, and export-based access
• Useful for AI agents, RAG systems, finance intelligence, and vertical AI workflows

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