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.
Real-world data from MERJ and Vercel examines patterns from top AI crawlers, showing significant traffic volumes and specific behaviors, especially with JavaScript rendering and content type priorities.
The article discusses the author's experience with Amazon's FriendlyCrawler, which overloaded the author's website by crawling at a very high interval. The author criticizes the crawler's disregard for robots.txt and provides solutions for blocking such traffic using CloudFlare.
Crawl4AI is an open-source web crawling tool designed to efficiently collect and curate high-quality, structured data from the web for large language model training. It handles multiple URLs simultaneously and supports various data formats, including JSON and Markdown.
Google's Martin Splitt shares how to defend against malicious bots and improve site performance. SEO expert Roger Montti explains why contacting resource providers won't work and offers alternative solutions.
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.
