You're Invited:Meet the Socket Team at BlackHat and DEF CON in Las Vegas, Aug 4-6.RSVP
Socket
Book a DemoInstallSign in
Socket

sec-downloader

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

sec-downloader

Useful extensions for sec-edgar-downloader.

0.12.2
pipPyPI
Maintainers
1

sec-downloader

PyPI downloads Licence GitHub Workflow Status PyPI - Python Version PyPI version

A better version of sec-edgar-downloader. Includes an alternative implementation (a wrapper instead of a fork), to keep compatibility with new sec-edgar-downloader releases. This library partially uses nbdev.

Features

Advantages over sec-edgar-downloader:

Flexibility in Download Process

  • Tailored for choosing what, where, and how to download.
  • Files stored in memory for faster operations and no unnecessary disk clutter.

Separate Metadata and File Downloads

  • Easily skip unneeded files.
  • Download metadata first, then selectively download files.
  • Option to save metadata for better organization.

More Input Options

  • Ticker or CIK (e.g., AAPL, 0000320193) for latest filings.
  • Accession Number (e.g., 0000320193-23-000077). Not supported in sec-edgar-downloader.
  • SEC EDGAR URL (e.g., https://www.sec.gov/ix?doc=/Archives/edgar/data/0001067983/000119312523272204/d564412d8k.htm). Not supported in sec-edgar-downloader.

Install

pip install sec-downloader

How to use

Download the metadata

Note The company name and email address are used to form a user-agent string that adheres to the SEC EDGAR’s fair access policy for programmatic downloading. Source

from sec_downloader import Downloader

dl = Downloader("MyCompanyName", "email@example.com")

Find a filing with an Accession Number

metadatas = dl.get_filing_metadatas("AAPL/0000320193-23-000077")
print(metadatas)
[FilingMetadata(accession_number='0000320193-23-000077',
                form_type='10-Q',
                primary_doc_url='https://www.sec.gov/Archives/edgar/data/320193/000032019323000077/aapl-20230701.htm',
                items='',
                primary_doc_description='10-Q',
                filing_date='2023-08-04',
                report_date='2023-07-01',
                cik='0000320193',
                company_name='Apple Inc.',
                tickers=[Ticker(symbol='AAPL', exchange='Nasdaq')])]

Alternatively, you can also use any of these to get the same answer:

metadatas = dl.get_filing_metadatas("aapl/000032019323000077")
metadatas = dl.get_filing_metadatas("320193/000032019323000077")
metadatas = dl.get_filing_metadatas("320193/0000320193-23-000077")
metadatas = dl.get_filing_metadatas("0000320193/0000320193-23-000077")
metadatas = dl.get_filing_metadatas(CompanyAndAccessionNumber(ticker_or_cik="320193", accession_number="0000320193-23-000077"))

Find the filing matching a SEC EDGAR Filing URL. Only CIK and Accession Number are used from the URL:

metadatas = dl.get_filing_metadatas(
    "https://www.sec.gov/ix?doc=/Archives/edgar/data/0001067983/000119312523272204/d564412d8k.htm"
)
print(metadatas)
[FilingMetadata(accession_number='0001193125-23-272204',
                form_type='8-K',
                primary_doc_url='https://www.sec.gov/Archives/edgar/data/1067983/000119312523272204/d564412d8k.htm',
                items='2.02,9.01',
                primary_doc_description='8-K',
                filing_date='2023-11-07',
                report_date='2023-11-04',
                cik='0001067983',
                company_name='BERKSHIRE HATHAWAY INC',
                tickers=[Ticker(symbol='BRK-B', exchange='NYSE'),
                         Ticker(symbol='BRK-A', exchange='NYSE')])]

Alternatively, you can also URLs in other formats and get the same answer:

metadatas = dl.get_filing_metadatas("https://www.sec.gov/Archives/edgar/data/1067983/000119312523272204/d564412d8k.htm")

Find latest filings by company ticker or CIK:

from sec_downloader.types import RequestedFilings

metadatas = dl.get_filing_metadatas(
    RequestedFilings(ticker_or_cik="MSFT", form_type="10-K", limit=2)
)
print(metadatas)
[FilingMetadata(accession_number='0000950170-24-087843',
                form_type='10-K',
                primary_doc_url='https://www.sec.gov/Archives/edgar/data/789019/000095017024087843/msft-20240630.htm',
                items='',
                primary_doc_description='10-K',
                filing_date='2024-07-30',
                report_date='2024-06-30',
                cik='0000789019',
                company_name='MICROSOFT CORP',
                tickers=[Ticker(symbol='MSFT', exchange='Nasdaq')]),
 FilingMetadata(accession_number='0000950170-23-035122',
                form_type='10-K',
                primary_doc_url='https://www.sec.gov/Archives/edgar/data/789019/000095017023035122/msft-20230630.htm',
                items='',
                primary_doc_description='10-K',
                filing_date='2023-07-27',
                report_date='2023-06-30',
                cik='0000789019',
                company_name='MICROSOFT CORP',
                tickers=[Ticker(symbol='MSFT', exchange='Nasdaq')])]

Alternatively, you can also use any of these to get the same answer:

metadatas = dl.get_filing_metadatas("2/msft/10-K")
metadatas = dl.get_filing_metadatas("2/789019/10-K")
metadatas = dl.get_filing_metadatas("2/0000789019/10-K")

The parameters limit and form_type are optional. If omitted, limit defaults to 1, and form_type defaults to ‘10-Q’.

metadatas = dl.get_filing_metadatas("NFLX")
print(metadatas)
[FilingMetadata(accession_number='0001065280-24-000287',
                form_type='10-Q',
                primary_doc_url='https://www.sec.gov/Archives/edgar/data/1065280/000106528024000287/nflx-20240930.htm',
                items='',
                primary_doc_description='10-Q',
                filing_date='2024-10-18',
                report_date='2024-09-30',
                cik='0001065280',
                company_name='NETFLIX INC',
                tickers=[Ticker(symbol='NFLX', exchange='Nasdaq')])]

Alternatively, you can also use any of these to get the same answer:

metadatas = dl.get_filing_metadatas("nflx")
metadatas = dl.get_filing_metadatas("1/NFLX")
metadatas = dl.get_filing_metadatas("NFLX/10-Q")
metadatas = dl.get_filing_metadatas("1/NFLX/10-Q")
metadatas = dl.get_filing_metadatas(RequestedFilings(ticker_or_cik="NFLX"))
metadatas = dl.get_filing_metadatas(RequestedFilings(limit=1, ticker_or_cik="NFLX", form_type="10-Q"))

Download the HTML files

After obtaining the Primary Document URL, for example from the metadata, you can proceed to download the HTML using this URL.

for metadata in metadatas:
    html = dl.download_filing(url=metadata.primary_doc_url).decode()
    print(html[:50])
    break  # same for all filings, let's just print the first one
"<?xml version='1.0' encoding='ASCII'?>\n<!--XBRL Do"

Alternative implementation: Wrapper

Files are downloaded to a temporary folder, immediately read into memory, and then deleted. Let’s demonstrate how to download a single file (latest 10-Q filing details in HTML format) to memory. The “glob” pattern is used to select which files are read to memory.

from sec_edgar_downloader import Downloader as SecEdgarDownloader
from sec_downloader.download_storage import DownloadStorage

ONLY_HTML = "**/*.htm*"

storage = DownloadStorage(filter_pattern=ONLY_HTML)
with storage as path:
    dl = SecEdgarDownloader("MyCompanyName", "email@example.com", path)
    dl.get("10-Q", "AAPL", limit=1, download_details=True)
# all files are now deleted and only stored in memory

content = storage.get_file_contents()[0].content
print(f"{content[:50]}...")
"<?xml version='1.0' encoding='ASCII'?>\n<!--XBRL Do..."

Downloading multiple documents:

storage = DownloadStorage()
with storage as path:
    dl = SecEdgarDownloader("MyCompanyName", "email@example.com", path)
    dl.get("10-K", "GOOG", limit=2)
# all files are now deleted and only stored in memory

for path, content in storage.get_file_contents():
    print(f"Path: {path}\nContent [len={len(content)}]: {content[:30]}...\n")
('Path: sec-edgar-filings/GOOG/10-K/0001652044-25-000014/full-submission.txt\n'
 'Content [len=14773739]: <SEC-DOCUMENT>0001652044-25-00...\n')
('Path: sec-edgar-filings/GOOG/10-K/0001652044-24-000022/full-submission.txt\n'
 'Content [len=13927595]: <SEC-DOCUMENT>0001652044-24-00...\n')
from sec_downloader import Downloader
dl = Downloader("MyCompanyName", "my.email@domain.com")
metadata = dl.get_filing_metadatas("https://www.sec.gov/Archives/edgar/data/2488/000000248825000009/0001193125-10-034401-index.htm", include_amends=True)
metadata
[FilingMetadata(accession_number='0000002488-25-000009', form_type='8-K', primary_doc_url='https://www.sec.gov/Archives/edgar/data/2488/000000248825000009/amd-20250204.htm', items='2.02,7.01,9.01', primary_doc_description='8-K', filing_date='2025-02-04', report_date='2025-02-04', cik='0000002488', company_name='ADVANCED MICRO DEVICES INC', tickers=[Ticker(symbol='AMD', exchange='Nasdaq')])]

Frequently Asked Questions (FAQ)

Q: I’m encountering a ValueError stating ‘8-K/A’ forms are not supported. How can I download “8-K/A” filings?

A: To download amended filings such as “8-K/A”, you need to set the parameter include_amends=True. For example, to download this filing, you would use:

from sec_downloader import Downloader
dl = Downloader("MyCompanyName", "my.email@domain.com")
str_cik = "0000002488"
str_acc = "0001193125-10-034401"
metadata = dl.get_filing_metadatas(f"{str_cik}/{str_acc}", include_amends=True)
metadata
[FilingMetadata(accession_number='0001193125-10-034401', form_type='8-K', primary_doc_url='https://www.sec.gov/Archives/edgar/data/2488/000119312510034401/d8ka.htm', items='5.02', primary_doc_description='FORM 8-K/A', filing_date='2010-02-19', report_date='2010-02-16', cik='0000002488', company_name='ADVANCED MICRO DEVICES INC', tickers=[Ticker(symbol='AMD', exchange='Nasdaq')])]

Contributing

Follow these steps to install the project locally for development:

  • Install the project with the command pip install -e ".[dev]".

Note We highly recommend using virtual environments for Python development. If you’d like to use virtual environments, follow these steps instead:

  • Create a virtual environment python3 -m venv .venv
  • Activate the virtual environment source .venv/bin/activate
  • Install the project with the command pip install -e ".[dev]"

Keywords

nbdev jupyter notebook python

FAQs

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts