Analysis updated 2026-07-17 · repo last pushed 2022-04-05
Collect a text dataset from a website for language research.
Gather training material for an AI model from a set of web pages.
Analyze the text content of a competitor's site or blog collection.
Build a corpus without manually copying text page by page.
| jrmeyer/web-corpus | adeliox/klein-head-swap | ats4321/ragit | |
|---|---|---|---|
| Stars | 4 | 4 | 4 |
| Language | Python | Python | Python |
| Last pushed | 2022-04-05 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 2/5 | 3/5 | 2/5 |
| Audience | researcher | designer | developer |
Figures from each repo's GitHub metadata at analysis time.
README doesn't specify whether it respects robots.txt or rate limits, check the code before scraping.
A Python command-line crawler that starts from a seed URL and extracts readable text from a website into a saved file.
Mainly Python. The stack also includes Python.
Dormant — no commits in 2+ years (last push 2022-04-05).
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.