Skip to main content

Automatically reference a URL with the Wayback Machine in BibTeX

Project description

wm-tex

Automatically reference a URL with the wayback machine in BibTeX

The tool will automatically generate a BibTeX reference with the first appearance of the website in the Wayback machine, access time, and a howpublished field with the original URL as a hyperref to the wayback machine URL

Usage

$ wm-tex URL

Example

$ wm-tex http://google.com

@misc{xxx98},
  title   = {{}},
  author  = {},
  day     = {11},
  month   = {11},
  year    = {1998},
  url     = {https://web.archive.org/web/20250527083831/https://google.com/},
  ourl    = {http://google.com},
  howpublished = {\href{https://web.archive.org/web/20250527083831/https://google.com/}{http://google.com}},
  urldate = {2025-05-27},
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wm_tex-1.0.1.tar.gz (2.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wm_tex-1.0.1-py3-none-any.whl (2.4 kB view details)

Uploaded Python 3

File details

Details for the file wm_tex-1.0.1.tar.gz.

File metadata

  • Download URL: wm_tex-1.0.1.tar.gz
  • Upload date:
  • Size: 2.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.5

File hashes

Hashes for wm_tex-1.0.1.tar.gz
Algorithm Hash digest
SHA256 516e29a6913f97a78ba3ad4608f9a688f37248b51c9649ccdc70124aa6347d8c
MD5 86e4088f30d4fc4c0afa69bbbdcc27ff
BLAKE2b-256 d32587ba1bf0a6ed583c3e332740f9647bff0cf56d8bdf6303d0c08b447d7f6f

See more details on using hashes here.

File details

Details for the file wm_tex-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: wm_tex-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.5

File hashes

Hashes for wm_tex-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 757771852164b3c7fe1d5eeae0db186e4a1b159502a28ea1495304931c3efa07
MD5 cb9046f903e44b394794def518291730
BLAKE2b-256 1bb8232d8b48a850f3b0dfaf5d07a871b8c02cbd3a82a9638260a191cecaca9b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page