qeeqbox/social-analyzer
API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites
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SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 23 contributors on GitHub.
Peaked at #8 in the weekly ranking the week of Nov 30, its best in the past year.
Use Cases & Benefits
- Provides API, CLI, and web app to analyze and find a person's profile across over 1000 social media and websites using multiple detection modules.
- Reduces false positives with a rating mechanism and multilayer detection techniques for more accurate OSINT investigations.
- Use for investigating suspicious or malicious online profiles related to cyberbullying, cyberstalking, or misinformation.
- Use for law enforcement agencies or security researchers needing comprehensive social media reconnaissance with customizable search filters.
- Use for developers integrating social profile analysis into OSINT tools or automated workflows via API or CLI in JavaScript and Python.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
AGPL 3.0
Network copyleft: like the GPL, and also triggered by offering the software over a network.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- AGPL-style copyleft also applies when the software is offered over a network.
- No commits in the last six months (last push Jan 2026).
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
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..Websites and applications that enable users to create and share content or to participate in social networking - Oxford Dictionary
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+666 stars over 79 days across 12 snapshot days; best day +11 on Oct 6.
Forks
2.4K+78
Open issues
27+1
Compared with peers in CLI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 450.0K | +22.9K | 75 | 16 days ago |
| mattpocock/skills | 320.9K | +9.5K | 75 | 12 days ago |
| vercel-labs/agent-desktop | 21.4K | +8.7K | 75 | 5 days ago |
| stablyai/orca | 121.4K | +6.7K | 75 | today |
| vercel-labs/agent-browser | 49.2K | +3.8K | 75 | 1 day ago |
| qeeqbox/social-analyzer | 24.4K | — | 29 | — |
| Category median | 121.4K | +8.7K | 75 | — |
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