socid-extractor
Extract accounts' identifiers and metadata from personal pages on various platforms.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and solves a real problem—extracting 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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction: pure Python wheel with three common runtime dependencies (requests, python-dateutil, beautifulsoup4).
- Last release 32 days ago, active maintenance, 1064 repository stars, and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial use without restriction, though the maintainers note that page parsers degrade as platforms change and recommend reaching out for commercial support if you need maintained private parser plugins or a hosted API.
last release 2026-07-13 (32 days) · last repo commit 2026-08-14 · 1,064 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 117,308 downloads/mo, #12,170 on PyPI
Alternatives
Verify before relying
pip install socid-extractor
import requests
import socid_extractor
r = requests.get('https://www.patreon.com/annetlovart')
print(socid_extractor.extract(r.text))- Whether the 130+ platform count remains accurate as platforms change or deprecate.
- Performance characteristics when processing large batches of profiles.
- Whether cookies are required for all Google-ecosystem parsers or only some.
What it is and 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—including Facebook, Instagram, GitHub, Reddit, TikTok, Bluesky, and many others—returning 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.
The library requires no API keys or headless browser—just 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, low install friction, and solves a real problem—extracting 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.
Install
socid-extractor on PyPI
Before you install
Low friction: pure Python wheel with three common runtime dependencies (requests, python-dateutil, beautifulsoup4). Last release 32 days ago, active maintenance, 1064 repository stars, and no known vulnerabilities.
Requires Python 3.10 or later.
License in practice
MIT license permits commercial use without restriction, though the maintainers note that page parsers degrade as platforms change and recommend reaching out for commercial support if you need maintained private parser plugins or a hosted API.
Quickstart
pip install socid-extractor
import requests
import socid_extractor
r = requests.get('https://www.patreon.com/annetlovart')
print(socid_extractor.extract(r.text))Verify before relying
- Whether the 130+ platform count remains accurate as platforms change or deprecate.
- Performance characteristics when processing large batches of profiles.
- Whether cookies are required for all Google-ecosystem parsers or only some.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesrequestspython-dateutilbeautifulsoup4 |
| Maintenance | Actively maintained 32 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 117,308 / month, #12,170 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: Information TechnologyNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet :: WWW/HTTPTopic :: SecurityTopic :: Software Development :: Libraries :: Python Modules |
Evidence: socid_extractor-0.1.1-py3-none-any.whl
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