Social Analyzer is an open-source intelligence (OSINT) tool designed to find and analyze public social media profiles across more than 1,000 websites. It provides an API, command-line interface (CLI), and web application, giving investigators and security researchers different ways to search for online accounts.
Instead of relying on a single search technique, Social Analyzer combines multiple detection methods to identify possible profile matches. Researchers can select analysis modules, compare results, and examine publicly available information that may help connect online identities during an investigation.
The tool can support research into suspicious online activity, impersonation, cyberstalking, cyberbullying, and the spread of misinformation. However, a matching username alone does not prove that an account belongs to a particular person. Every result requires careful verification.
Social Analyzer checks names and usernames against supported websites using different detection techniques. These include HTTPS-based requests and browser automation through WebDriver. The project also offers multilayer detection, including normal, advanced, special, and OCR-based methods.
Its rating mechanism assigns a score from 0 to 100 to help classify potential matches as No, Maybe, or Yes. This approach is intended to reduce false positives, although automated detection cannot eliminate them entirely. Websites may change their layouts, block automated requests, or return incomplete responses, which can affect results.
The tool also supports searching multiple profiles in one run. Researchers can enter combinations of usernames separated by commas to compare possible accounts and identify patterns worth investigating further.
Social Analyzer includes several features for profile discovery, result filtering, and data analysis. Its main capabilities include:
These features can help organize large sets of potential matches. For related username-discovery workflows, see our guide to the WhatsMyName OSINT tool, which focuses on finding accounts associated with a username across supported platforms.
Social Analyzer offers several ways to integrate profile searches into an investigation. The web interface provides a straightforward way to run searches and review results. The CLI is useful for researchers who prefer terminal-based workflows, while the API can support integration with other applications.
The project also provides Python and Node.js CLI options, although the source documentation notes that these are limited to the FindUserProfilesFast option. Screenshot capture requires a compatible Chrome installation, while the grid option for faster checking is limited to the Docker Compose setup.
Additional configuration options include custom user agents, proxies, timeouts, implicit waits, adjustable worker counts, and retries for failed profiles. These settings can help researchers adapt searches to different environments, but excessive concurrency may trigger website rate limits or automated traffic protections.
Social Analyzer is best treated as a source of investigative leads rather than a tool that confirms identity. A positive result should be checked against other public evidence, such as profile details, linked websites, posting history, and consistent identifiers. Similar names, reused usernames, and outdated accounts can produce misleading matches.
For broader research, our guide to open-source OSINT tools covers other tools that can complement a profile investigation.
Use Social Analyzer for lawful research involving public information, authorized security work, and legitimate investigations. Respect privacy, follow applicable laws and platform terms, and avoid using collected information for harassment, doxxing, or unauthorized targeting.
Explore the official Social Analyzer GitHub repository for the source code, project documentation, supported interfaces, and implementation details. Review the current documentation before use because supported websites, detection behavior, and configuration options can change between releases.
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