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john-friedman
datamule-python
Python2024–2026
john-friedman / datamule-python

datamule-python

A package to work with SEC data. Incorporates datamule endpoints.

2Distinct people
10Mentions
0Explicit recommenders
560GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A package to work with SEC data. Incorporates datamule endpoints.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 6:01:08 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month10 dated mentions

Observed mentions: 2024-09-10 21:27:07 UTC to 2026-03-20 02:39:57 UTC.

0122024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 commentsSep 20242024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 20252025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMar 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC220
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC110
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC110
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC220
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC110
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC110
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC110
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC110

What Hacker News says

2 sources

Show HN: A faster and compliant way to scrape the SEC

The SEC rate limits you to 5 requests per second. The SEC has more than 16 million submissions, with each submission having multiple documents. For example, Tesla's 2021 10-K SEC page has 14 documents. Scraping every SEC submission document by document would take about 200 days. There is a faster approach. Submissions to the SEC are stored in Standard Generalized Markup Language in one file. That means that if you have a SGML parser, you only have to download the submission .txt file. Scraping every SEC SGML submission takes about 40 days. There is a much faster approach. SEC data is stored in SGML in daily archives accessible here going back to 1994: https://www.sec.gov/Archives/edgar/Feed/1995/. Since the SEC rate limits you to 30mb/s of egress and there is 3tb of data, downloading every archive takes slightly more than a day. I've writ
Read the rest
ten a fast SGML parser here using Cython: https://github.com/john-friedman/datamule-python
1 points · Open discussion

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