{"name":"Lassie: Web Content Retrieval for Humans","description":"Lassie is a powerful Python library designed for efficient web content retrieval. It simplifies the process of extracting essential information like titles, descriptions, images, and videos from various web pages. This tool is ideal for developers needing to programmatically fetch and parse web content with ease.","github":"https://github.com/michaelhelmick/lassie","url":"https://osrepos.com/repo/michaelhelmick-lassie","source":"osrepos.com","sourceDescription":"This repository profile is provided by osrepos.com, an open source repository discovery platform.","repositoryProfile":"https://osrepos.com/repo/michaelhelmick-lassie","generatedFor":"open source discovery and AI-assisted research","markdown":"https://osrepos.com/repo/michaelhelmick-lassie.md","json":"https://osrepos.com/repo/michaelhelmick-lassie.json","topics":["content","meta","oembed","python","requests","web scraping","data extraction"],"keywords":["content","meta","oembed","python","requests","web scraping","data extraction"],"stars":null,"summary":"Lassie is a powerful Python library designed for efficient web content retrieval. It simplifies the process of extracting essential information like titles, descriptions, images, and videos from various web pages. This tool is ideal for developers needing to programmatically fetch and parse web content with ease.","content":"## Introduction\nLassie is an open-source Python library developed by Michael Helmick, aimed at simplifying the retrieval of basic content from websites. It provides a human-friendly way to extract valuable information such as titles, descriptions, images, and videos from any given URL. With its focus on ease of use and efficiency, Lassie is a great tool for applications requiring web content parsing and metadata extraction.\n\n## Installation\nInstalling Lassie is straightforward using `pip`, the Python package installer.\n\nbash\n$ pip install lassie\n\n\nAlternatively, you can use `easy_install`:\n\nbash\n$ easy_install lassie\n\n\n## Examples\nLassie makes fetching content incredibly simple. Here's a quick example demonstrating how to retrieve information from a YouTube URL:\n\npython\nimport lassie\nlassie.fetch('http://www.youtube.com/watch?v=dQw4w9WgXcQ')\n\nThis will return a dictionary containing various details like title, description, video sources, image sources, and keywords.\n\n## Why use\nLassie stands out for its ability to abstract away the complexities of web scraping and content parsing. It's particularly useful for:\n*   Building applications that need to display rich previews of URLs (like social media link previews).\n*   Extracting structured data (oEmbed, Open Graph) from web pages without manual parsing.\n*   Automating the collection of media assets (images, videos) associated with web content.\n*   Simplifying data retrieval for content aggregation or analysis projects.\n\n## Links\n*   GitHub Repository: [https://github.com/michaelhelmick/lassie](https://github.com/michaelhelmick/lassie){:target=\"_blank\"}\n*   Official Documentation: [https://lassie.readthedocs.org/](https://lassie.readthedocs.org/){:target=\"_blank\"}","metrics":{"detailViews":2,"githubClicks":1},"dates":{"published":null,"modified":"2026-07-25T16:11:18.000Z"}}