{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/19"},{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/7"},{"label":"Security","url":"https://skillfed.io/packages/category/security/3"}],"enrichment":{"capability":"Parses HTML and API responses from 130+ social platforms to extract account metadata\u2014usernames, display names, bios, avatars, locations, join dates, follower counts, and stable internal identifiers (GAIA ID, Facebook UID, Instagram pk, etc.) that persist across renames and redesigns.","skillfed_tags":["osint","profile-scraping","account-identification"],"use_cases":["Extract stable internal IDs from a profile page to correlate the same account across platform renames, redesigns, and deletions.","Pivot from a username into breach databases and search-engine indices using the stable UID as a join key.","Feed normalized account records into downstream OSINT pipelines (like Maigret) without writing per-platform scrapers.","Batch-process profile URLs to build a cross-service identity map for investigation or enrichment workflows.","Extract contact info, social links, and metadata from a profile in a single call without per-site glue code."],"what_it_does":"socid_extractor is a Python library that parses social media profile pages and API responses to extract structured account data. It handles 130+ platforms\u2014including Facebook, Instagram, GitHub, Reddit, TikTok, Bluesky, and many others\u2014returning a flat dictionary with normalized field names (username, fullname, created_at, is_verified, etc.) and crucially, stable internal identifiers that survive username changes and platform redesigns. These IDs (GAIA for Google, UID for Facebook, pk for Instagram, and dozens more) are the core value: they let you correlate the same account across leaks, archives, and search indices, and serve as join keys in breach databases.\n\nThe library requires no API keys or headless browser\u2014just pass response text to a single extract() call. It ships as both a Python library and a CLI tool, and is battle-tested in production OSINT tools like Maigret. Dependencies are lightweight (requests, beautifulsoup4, python-dateutil), and the package is actively maintained with recent releases and no known vulnerabilities.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and solves a real problem\u2014extracting stable account identifiers across 130+ platforms with a single uniform interface. MIT license permits commercial use. Install it if you need to correlate social accounts, feed OSINT pipelines, or extract account metadata at scale."},"id":"socid-extractor","links":{"html":"https://skillfed.io/packages/socid-extractor","md":"https://skillfed.io/packages/socid-extractor.md","pypi":"https://pypi.org/project/socid-extractor/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-13","license_spdx":"MIT","license_treatment":"permissive","name":"socid-extractor","python_support":"supports_current","summary":"Extract accounts' identifiers and metadata from personal pages on various platforms."},"popularity":{"monthly_downloads":117308,"position":12170,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.1"}