detectorist-scraper VS warctools

Compare detectorist-scraper vs warctools and see what are their differences.

detectorist-scraper

A scrapy spider to extract post, thread, and user information from a vBulletin forum to a MongoDB database. (by IanLondon)
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warctools

Command line tools and libraries for handling and manipulating WARC files (and HTTP contents) (by internetarchive)
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detectorist-scraper warctools
1 1
30 141
- 3.5%
10.0 10.0
over 8 years ago over 3 years ago
Python Python
- MIT License
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detectorist-scraper

Posts with mentions or reviews of detectorist-scraper. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-29.
  • Ask HN: How can I back up an old vBulletin forum without admin access?
    9 projects | news.ycombinator.com | 29 Jan 2024
    > I'm just not sure what the intermediate steps would be to get something usable like a vBulletin…

    Once you have a crawl, you'll likely want to convert that unstructured data to structured data. For example, if I look at https://www.vbulletin.org/forum/portal.php, the thread title and hierarchy is in

    , posts are in
    , etc. I see an old project (https://github.com/IanLondon/detectorist-scraper) that did this and may be a useful place to start, and I imagine there are others.

    Once you have the structured data, You can decide whether to use it to build a static site, to import it into another forum, etc.

warctools

Posts with mentions or reviews of warctools. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-29.
  • Ask HN: How can I back up an old vBulletin forum without admin access?
    9 projects | news.ycombinator.com | 29 Jan 2024
    You can try https://replayweb.page/ as a test for viewing a WARC file. I do think you'll run into problems though with wanting to browse interconnected links in a forum format, but try this as a first step.

    One potential option but definitely a bit more work would be, once you have all the warc files downloaded, you can open them all in python using the warctools module and maybe beautifulsoup and potentially parse/extract all of the data embedded in the WARC archives into your own "fresh" HTML webserver.

    https://github.com/internetarchive/warctools