discrawl mirrors Discord guild data into a local SQLite database, allowing you to search, inspect, and query server history independently of Discord. It’s a bot-token crawler – no user-token hacks – and keeps your data local. It discovers accessible guilds, syncs channels, threads, members, and message history, maintains FTS5 search indexes for fast text search (including small attachments), records mentions, and tails Gateway events for live updates with repair syncs. It provides read-only SQL access for analysis and supports multi-guild schemas with a simple single-guild default. Search defaults to all guilds, while sync and tail default to a configured default guild or fan out to all discovered guilds if none is set.
Cloudflare converts HTML to Markdown on the fly when an AI agent requests it via the `Accept: text/markdown` header.
This article provides a verified list of AI crawlers (GPTBot, ClaudeBot, Gemini, etc.) with user-agent strings, crawl rates, and IP verification information to help manage access and maintain inclusion in AI discovery.
An open source web crawler that searches the internet. It's a minimal, real-time web search CLI that searches the internet for you. Enter a query and get search results as JSON (title, url, published_date), sorted by recency.
Extract data from websites in LLM ready JSON or CSV format. Crawl or Scrape entire website with Website Crawler
Browser Use is a library that enables AI agents to interact with web browsers, making websites accessible for automated tasks. It includes features for browser automation, agent memory, and various demos showcasing its capabilities.
Mariya Mansurova explores using CrewAI's multi-agent framework to create a solution for writing documentation based on tables and answering related questions.
AutoCrawler is a two-stage framework that leverages the hierarchical structure of HTML for progressive understanding and aims to assist crawlers in handling diverse and changing web environments more efficiently. This work introduces a crawler generation task for vertical information web pages and proposes the paradigm of combining LLMs with crawlers, which supports the adaptability of traditional methods and enhances the performance of generative agents in open-world scenarios. Generative agents, empowered by large language models, suffer from poor performance and reusability in open-world scenarios.
