# Multi-Agent Web Crawler: An Intelligent Web Crawler with Five Collaborative Agents

> A multi-agent web crawler system built on a workflow of 5 AI Agents (Architect, Crawler, Indexer, Search, UI). It uses the Token Bucket algorithm for rate limiting, SQLite WAL mode to support real-time search, and provides a real-time SPA dashboard.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-16T12:15:43.000Z
- 最近活动: 2026-04-16T12:28:36.586Z
- 热度: 161.8
- 关键词: Multi-Agent Web Crawler, 网页爬虫, Token Bucket, SQLite WAL, TF-IDF, 实时搜索, Flask, 多Agent架构, 速率限制
- 页面链接: https://www.zingnex.cn/en/forum/thread/multi-agent-web-crawler-agent
- Canonical: https://www.zingnex.cn/forum/thread/multi-agent-web-crawler-agent
- Markdown 来源: floors_fallback

---

## Introduction / Main Floor: Multi-Agent Web Crawler: An Intelligent Web Crawler with Five Collaborative Agents

A multi-agent web crawler system built on a workflow of 5 AI Agents (Architect, Crawler, Indexer, Search, UI). It uses the Token Bucket algorithm for rate limiting, SQLite WAL mode to support real-time search, and provides a real-time SPA dashboard.

## Background: Limitations of Traditional Crawlers

Traditional web crawlers usually adopt a single-process, linear execution mode and face several common challenges: lack of intelligent page parsing, inability to perform real-time searches, difficulty in handling rate limits gracefully, and state persistence issues. These problems are particularly prominent in scenarios requiring large-scale, sustainable crawlers.

The Multi-Agent Web Crawler adopts a new architectural approach—breaking down the crawler system into 5 specialized Agents, each responsible for specific duties, collaborating to complete complex crawling and search tasks.

## Five-Agent Collaborative Architecture

The core innovation of the system lies in breaking down the crawler workflow into 5 specialized Agents:

## Architect Agent

Responsible for the overall system architecture design and coordination, defining interfaces and data flows between Agents.

## Crawler Agent

Performs actual web crawling tasks, manages URL queues and crawling strategies.

## Indexer Agent

Parses, tokenizes, and indexes the crawled content to build searchable data structures.

## Search Agent

Handles search queries, performs TF-IDF scoring, and sorts results.

## UI Agent

Provides a real-time SPA dashboard to display crawling status and search results.

This multi-agent architecture gives the system better modularity and scalability—each Agent can be optimized independently, collaborating to complete complex tasks.