[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-73729":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":10,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":24,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":35,"readmeContent":36,"aiSummary":37,"trendingCount":16,"starSnapshotCount":16,"syncStatus":38,"lastSyncTime":39,"discoverSource":40},73729,"qq-chat-exporter","shuakami\u002Fqq-chat-exporter","shuakami","🚀 QQ聊天记录、表情包导出工具 | 自动化提取图片\u002F文字\u002F图片消息，支持TXT\u002FJSON导出，高效备份，支持NT QQ ","https:\u002F\u002Fshuakami.github.io\u002Fqq-chat-exporter\u002F",null,"TypeScript",3821,234,6,53,0,57,130,403,171,106.11,false,"master",true,[26,27,28,29,30,31,32,33,34],"chat-exports","electron","export","exporter","javascript","qq","qq-expoter","qq-nt","qqnt","2026-06-12 04:01:10","# QQ Chat Exporter\n\n将 QQ 聊天记录导出为 HTML、JSON、TXT 格式。支持定时备份、批量导出、表情包导出。\n\n![hero](https:\u002F\u002Fgithub.com\u002Fshuakami\u002Fqq-chat-exporter\u002Fblob\u002F9959f84b\u002Fimage.png?raw=true)\n\n## 文档\n\n访问 https:\u002F\u002Fshuakami.github.io\u002Fqq-chat-exporter\u002F 查看使用文档。\n\n## 快速开始\n\n1. 从 [Releases](https:\u002F\u002Fgithub.com\u002Fshuakami\u002Fqq-chat-exporter\u002Freleases) 下载\n2. 运行 `launcher-user.bat` (Windows) 或 `.\u002Flauncher-user.sh` (Linux)\n3. 用 QQ 扫码登录\n4. 复制控制台的 Token\n5. 打开 `http:\u002F\u002Flocalhost:40653\u002Fqce-v4-tool`\n\n### Docker NapCat 部署\n\n如果已有 Docker 部署的 NapCat（Shell 模式），可以作为插件直接挂载，无需桌面 QQNT 环境。\n\n详见 [Docker NapCat 部署指南](docs\u002Fdocker-napcat-deployment.md)。\n\n## 相关项目\n\n如果导出聊天记录后，想深入分析聊天内容可以试试 [ChatLab](https:\u002F\u002Fchatlab.fun\u002Fcn)\n\n也可以试试 [QQChatAnalyzer](https:\u002F\u002Fgithub.com\u002FCutrelyAlex\u002FQQChatAnalyzer) - 支持个人分析、群聊分析、社交网络可视化和 AI 摘要\n\n还可以试试 [QQ-Chat-AI-Analyzer](https:\u002F\u002Fgithub.com\u002FJUSTMONIKA2022\u002FQQ-Chat-AI-Analyzer) - 基于 AI 的群聊消息总结分析工具，可生成年度报告\n\n如果需要 Python API 封装，可以使用 [napcat-qce-python](https:\u002F\u002Fgithub.com\u002Fstreetartist\u002Fnapcat-qce-python)\n\n## 致谢\n\n感谢 [NapCatQQ](https:\u002F\u002Fgithub.com\u002FNapNeko\u002FNapCatQQ) 团队提供的框架支持。\n\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fshuakami\u002Fqq-chat-exporter\u002Fgraphs\u002Fcontributors\">\n\n  \u003Cimg src=\"https:\u002F\u002Fcontrib.rocks\u002Fimage?repo=shuakami\u002Fqq-chat-exporter&max=12&columns=12\" width=\"125\" \u002F>\n\n\u003C\u002Fa>\n\n## 许可证\n\n[GPL-3.0](https:\u002F\u002Fgithub.com\u002Fshuakami\u002Fqq-chat-exporter\u002Fblob\u002Fmain\u002FLICENSE)\n","QQ Chat Exporter 是一个用于导出 QQ hat记录和表情包的工具。它支持将聊天内容以 TXT、JSON 或 HTML 格式导出，并且能够自动化提取图片、文字及表情消息，方便用户高效备份聊天数据。该项目使用 TypeScript 开发，基于 Electron 框架构建，确保了跨平台兼容性。此外，该工具还支持 NT QQ 版本，并提供了定时备份与批量导出的功能。适用于需要保存重要对话记录或进行数据分析的场景，如个人回忆整理、团队沟通回顾等。",2,"2026-06-11 03:47:07","high_star"]