agentic-blog is a Python package that implements an agentic crawler designed specifically for navigating and extracting content from blog websites. Built as a work-in-progress tool, it leverages autonomous AI agents to intelligently discover, follow links, and gather blog posts and related data. It is intended for developers building web agents or data collection pipelines that require semantic understanding of blog structures.
In the AI & ML space, agentic-blog takes a focused approach. Automatically discovering, crawling, and extracting structured content from blog websites using autonomous AI agents. It is built as an open-source project for AI developers and researchers. The project is open source (MIT). It ships for the command line, and it can be self-hosted.
It is developed by tjdwls101010, and it first shipped in 2026. The project is developed in the open on GitHub with 2 commits in the last 90 days. Key capabilities include agentic crawling, blog content extraction, and autonomous navigation. agentic-blog is currently in beta.
Summary written by a language model from the project’s public pages.
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