sec-edgar-downloader
Download SEC filings from the EDGAR database using Python
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, installs with minimal friction, and solves a real problem—automating SEC filing retrieval that would otherwise require manual downloads or web scraping. MIT licensing removes legal barriers. Suitable for financial research, compliance automation, and data pipeline work.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Must provide a company name and email address to form a user-agent string compliant with SEC EDGAR's fair access policy.
- Low friction install with only two runtime dependencies (requests and pyrate-limiter).
License · maintenance · safety
permissive license (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal legal friction for commercial or private projects.
last release 2026-02-02 (193 days) · last repo commit 2026-06-22 · 714 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 210,715 downloads/mo, #9,489 on PyPI
Alternatives
Verify before relying
pip install sec-edgar-downloader
from sec_edgar_downloader import Downloader
dl = Downloader("MyCompanyName", "my.email@domain.com")
dl.get("10-K", "AAPL", limit=5)- Whether rate limiting via pyrate-limiter is configurable or automatic per SEC guidelines
- Performance characteristics when downloading large batches of filings across multiple companies
- Whether filing details download includes parsed structured data or raw document files
What it is and what it does
sec-edgar-downloader is a Python library that automates retrieval of SEC company filings from the EDGAR database. It wraps the SEC's public filing search with a simple API, letting you fetch filings by stock ticker or Central Index Key (CIK) and filter by filing type, date range, and recency. The package handles the user-agent requirements mandated by SEC EDGAR's programmatic access policy.
You provide a company name and email address (used to form a compliant user-agent), then call get() with a filing type (8-K, 10-K, 10-Q, and many others) and a company identifier. The library downloads filings to a local directory, with optional filtering for amended filings, date ranges, and result limits. It depends on requests for HTTP access and pyrate-limiter to respect rate limits.
Use it for
- Bulk download 10-K annual reports for a portfolio of companies to analyze financial statements programmatically.
- Retrieve all 8-K current reports for a ticker within a date range to track material events and corporate actions.
- Automate collection of 13F-HR filings from institutional investors to monitor portfolio holdings changes.
- Build a financial data pipeline that fetches the latest SEC filings for a watchlist of companies on a scheduled basis.
- Download DEF 14A proxy statements to analyze executive compensation and shareholder proposals.
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, installs with minimal friction, and solves a real problem—automating SEC filing retrieval that would otherwise require manual downloads or web scraping. MIT licensing removes legal barriers. Suitable for financial research, compliance automation, and data pipeline work.
Install
sec-edgar-downloader on PyPI
Before you install
Low friction install with only two runtime dependencies (requests and pyrate-limiter). Actively maintained with recent commits and a stable production release status.
Requires Python 3.10 or later. Must provide a company name and email address to form a user-agent string compliant with SEC EDGAR's fair access policy.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal legal friction for commercial or private projects.
Quickstart
pip install sec-edgar-downloader
from sec_edgar_downloader import Downloader
dl = Downloader("MyCompanyName", "my.email@domain.com")
dl.get("10-K", "AAPL", limit=5)Verify before relying
- Whether rate limiting via pyrate-limiter is configurable or automatic per SEC guidelines
- Performance characteristics when downloading large batches of filings across multiple companies
- Whether filing details download includes parsed structured data or raw document files
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesrequestspyrate-limiter |
| Maintenance | Actively maintained 193 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 210,715 / month, #9,489 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 :: DevelopersIntended Audience :: Financial and Insurance IndustryIntended Audience :: Information TechnologyLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Office/Business :: FinancialTopic :: Office/Business :: Financial :: InvestmentTopic :: Software Development :: Libraries :: Python Modules |
Evidence: sec_edgar_downloader-5.1.0-py3-none-any.whl
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