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spencermountain
wtf_wikipedia
JavaScript2018–2023
spencermountain / wtf_wikipedia

wtf_wikipedia

a pretty-committed wikipedia markup parser

Languages & Compilers
Explore on GitHubRead Hacker News discussions
3Distinct people
4Mentions
0Explicit recommenders
858GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

a pretty-committed wikipedia markup parser

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, 5:04:57 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 year4 dated mentions

Observed mentions: 2018-09-25 23:38:38 UTC to 2023-03-25 20:30:42 UTC.

0122018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023

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
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202

What Hacker News says

4 sources
rjh29·Mar 25, 2023
This may finally be a solution for scraping wikipedia and turning it into structured data. (Or do we even need structured data in the post-AI age?) Mediawiki is notorious for being hard to parse: * https://github.com/spencermountain/wtf_wikipedia#ok-first- - why it's hard * https://techblog.wikimedia.org/2022/04/26/what-it-takes-to-p... - an entire article about parsing page TITLES * https://osr.cs.fau.de/wp-content/uploads/2017/09/wikitext-pa... - a paper published about a wikitext parser
In Experimental library for scraping websites using OpenAI's GPT API
cldellow·Aug 19, 2021
The infoboxes, which is what this guy is scraping, are much easier to scrape from the HTML than from the XML dumps. The reason is that the dumps just have pointers to templates, and you need to understand quite a bit about Wikipedia's bespoke rendering system to know how to fully realize them (or use a constantly-evolving library like wtf_wikipedia [1] to parse them). The rendered HTML, on the other hand, is designed for humans, and so what you see is what you get. [1]: https://github.com/spencermountain/wtf_wikipedia
In Data-Mining Wikipedia for Fun and Profit

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