[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-499":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":9,"pushedAt":9,"updatedAt":34,"readmeContent":35,"aiSummary":36,"trendingCount":15,"starSnapshotCount":15,"syncStatus":37,"lastSyncTime":38,"discoverSource":39},499,"scrapy","scrapy\u002Fscrapy","Scrapy, a fast high-level web crawling & scraping framework for Python.","https:\u002F\u002Fscrapy.org",null,"Python",62195,11636,1755,428,0,8,94,601,53,45,"BSD 3-Clause \"New\" or \"Revised\" License",false,"master",true,[26,27,28,29,30,31,32,33],"crawler","crawling","framework","hacktoberfest","python","scraping","web-scraping","web-scraping-python","2026-06-12 02:00:14","|logo|\n\n.. |logo| image:: https:\u002F\u002Fraw.githubusercontent.com\u002Fscrapy\u002Fscrapy\u002Fmaster\u002Fdocs\u002F_static\u002Flogo.svg\n   :target: https:\u002F\u002Fscrapy.org\n   :alt: Scrapy\n   :width: 480px\n\n|version| |python_version| |ubuntu| |macos| |windows| |coverage| |conda| |deepwiki|\n\n.. |version| image:: https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002FScrapy.svg\n   :target: https:\u002F\u002Fpypi.org\u002Fpypi\u002FScrapy\n   :alt: PyPI Version\n\n.. |python_version| image:: https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fpyversions\u002FScrapy.svg\n   :target: https:\u002F\u002Fpypi.org\u002Fpypi\u002FScrapy\n   :alt: Supported Python Versions\n\n.. |ubuntu| image:: https:\u002F\u002Fgithub.com\u002Fscrapy\u002Fscrapy\u002Fworkflows\u002FUbuntu\u002Fbadge.svg\n   :target: https:\u002F\u002Fgithub.com\u002Fscrapy\u002Fscrapy\u002Factions?query=workflow%3AUbuntu\n   :alt: Ubuntu\n\n.. |macos| image:: https:\u002F\u002Fgithub.com\u002Fscrapy\u002Fscrapy\u002Fworkflows\u002FmacOS\u002Fbadge.svg\n   :target: https:\u002F\u002Fgithub.com\u002Fscrapy\u002Fscrapy\u002Factions?query=workflow%3AmacOS\n   :alt: macOS\n\n.. |windows| image:: https:\u002F\u002Fgithub.com\u002Fscrapy\u002Fscrapy\u002Fworkflows\u002FWindows\u002Fbadge.svg\n   :target: https:\u002F\u002Fgithub.com\u002Fscrapy\u002Fscrapy\u002Factions?query=workflow%3AWindows\n   :alt: Windows\n\n.. |coverage| image:: https:\u002F\u002Fimg.shields.io\u002Fcodecov\u002Fc\u002Fgithub\u002Fscrapy\u002Fscrapy\u002Fmaster.svg\n   :target: https:\u002F\u002Fcodecov.io\u002Fgithub\u002Fscrapy\u002Fscrapy?branch=master\n   :alt: Coverage report\n\n.. |conda| image:: https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fscrapy\u002Fbadges\u002Fversion.svg\n   :target: https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fscrapy\n   :alt: Conda Version\n\n.. |deepwiki| image:: https:\u002F\u002Fdeepwiki.com\u002Fbadge.svg\n   :target: https:\u002F\u002Fdeepwiki.com\u002Fscrapy\u002Fscrapy\n   :alt: Ask DeepWiki\n\nScrapy_ is a web scraping framework to extract structured data from websites.\nIt is cross-platform, and requires Python 3.10+. It is maintained by Zyte_\n(formerly Scrapinghub) and `many other contributors`_.\n\n.. _many other contributors: https:\u002F\u002Fgithub.com\u002Fscrapy\u002Fscrapy\u002Fgraphs\u002Fcontributors\n.. _Scrapy: https:\u002F\u002Fscrapy.org\u002F\n.. _Zyte: https:\u002F\u002Fwww.zyte.com\u002F\n\nInstall with:\n\n.. code:: bash\n\n    pip install scrapy\n\nAnd follow the documentation_ to learn how to use it.\n\n.. _documentation: https:\u002F\u002Fdocs.scrapy.org\u002Fen\u002Flatest\u002F\n\nIf you wish to contribute, see Contributing_.\n\n.. _Contributing: https:\u002F\u002Fdocs.scrapy.org\u002Fen\u002Fmaster\u002Fcontributing.html\n","Scrapy 是一个用于从网站中提取结构化数据的高级网页爬取和抓取框架。它采用Python编写，支持Python 3.10及以上版本，并且跨平台兼容（包括Ubuntu、macOS和Windows）。Scrapy的核心功能包括高效的数据抓取、灵活的解析规则定义以及强大的扩展性，能够处理登录、表单提交等复杂场景。此外，Scrapy还提供了丰富的中间件支持，如下载器中间件和蜘蛛中间件，以满足不同需求。该框架适用于需要进行大规模网络数据收集的应用场景，例如市场调研、内容聚合服务或者任何需要自动化获取互联网信息的情况。",2,"2026-06-11 02:36:36","top_all"]