social-analyzer
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JavaScript
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项目能做什么
提供 API、CLI 和 Web 界面,可在 1000 多个社交平台与网站中分析与查找个人资料。
来源:基于仓库元数据
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
<p align="center"> <img src="https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/socialanalyzerlogo_.png"></p> Social Analyzer - API, CLI, and Web App for analyzing & finding a person's profile across +1000 social media \ websites. It includes different analysis and detection modules, and you can choose which modules to use during the investigation process. The detection modules utilize a rating mechanism based on different detection techniques, which produces a rate value that starts from 0 to 100 (No-Maybe-Yes). This module is intended to have fewer false positives. The analysis and public extracted information from this OSINT tool could help investigate profiles related to suspicious or malicious activities such as cyberbullying, cyber grooming, cyberstalking, and spreading misinformation. `This project is currently used by some law enforcement agencies in countries where resources are limited - The detection database is different than the one shared here..` ## So·cial Me·di·a Websites and applications that enable users to create and share content or to participate in social networking - Oxford Dictionary ## Structure <img src="https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/structure.png"> ## APP (Preferred!) Standard localhost WEB APP url: http://0.0.0.0:9005/app.html <img src="https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/intro_fast.gif" style="max-width:768px"/> ## CLI <img src="https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/cli.gif" style="max-width:768px"/> ## Features - String & name analysis (Permutations and Combinations) - Find a profile using multiple techniques (HTTPS library & Webdriver) - Multi profile search (Used for correlation - any combination separated with "," ) - Multilayers detections (OCR, normal, advanced & special) - Visualized profile information using Ixora (Metadata & Patterns) - Metadata & Patterns extraction (Added from Qeeqbox OSINT project) - Force-directed Graph for Metadata (Needs ExtractPatterns) - Search by top ranking or by country (Alexa Ranking) - Search by type (adult, music, etc.. - automated websites stats) - Profiles stats and static info (Category country) - Cross Metadata stats (Added from Qeeqbox OSINT project) - Auto-flirtation to unnecessary output (Enable javascript etc..) - Search engine lookup (Google API - optional) - Custom search queries (Google API & DuckDuckGo API - optional) - Profile screenshot, title, info, and website description - Find name origins, name similarity & common words by language - Find possible profile\person age (Limited analysis) - Custom user-agent, proxy, timeout & implicit wait - Python CLI & NodeJS CLI (limited to FindUserProfilesFast option) - Screenshots of detected profile (The latest version of Chrome must be installed) - Grid option for faster checking (limited to docker-compose) - Dump logs to folder or terminal (prettified) - Adjust finding\getting profile wor阅读完整原文
项目深度分析 规则生成(AI 未配置)
综合评分 69.8 分。该项目在“个人可实施性”维度得 70 分,“付费可能性”维度得 27.0 分,差异化空间 100.0 分(评分依据见评分卡)。
一键部署托管 / 代部署服务
| 产品构想 | 为不想自己折腾的用户提供在线实例或代部署。 |
| 目标用户 | 非技术背景的目标用户 |
| 难度/周期 | 低~中 · 1~2 周 |
| 收费模式 | 按次收费或按月托管费 |
| 竞争风险 | 客单价低,需控制人力成本 |
| 依据 | 数据支持的判断:项目支持 Docker 部署 |
面向细分需求的二次开发产品
| 产品构想 | 基于 social-analyzer 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。 |
| 目标用户 | 该细分场景用户 |
| 难度/周期 | 中 · 2~6 周 |
| 收费模式 | 买断制 / 订阅制 / 广告 |
| 竞争风险 | 细分需求规模需验证 |
| 依据 | AI 推测:基于项目主题标签的判断 |
封装为在线小工具或 API 服务
| 产品构想 | 把项目最常用的一个功能做成网页小工具,靠流量变现或按量计费。 |
| 目标用户 | 搜索引擎带来的长尾用户 |
| 难度/周期 | 低 · 1~3 周 |
| 收费模式 | 免费引流 + 增值功能 / API 按量计费 |
| 竞争风险 | 同质化竞争,需做好 SEO |
| 依据 | AI 推测:基于技术栈与部署特征的判断 |
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心
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项目优势与风险
| 技术成熟度 | 创建时间待补全,最近推送 |
| 社区活跃 | Star 24,543 / Fork 0 / Issue 0(数据支持,可自行核实) |
| 许可证 | 未检测到(需人工确认) |
| 主要风险 | 上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价 |
安装与使用
此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。