Skip to main content

Wayback Machine

This project is an envelope for simple fetching of historical versions of page from archive.org API.

The page can be used for subsequent webscraping

Setup and usage

Install from pip with

pip install waybackmachine

Simple usage of the WaybackMachine class is as

from waybackmachine import WaybackMachine

url = "https://www.gov.pl/web/koronawirus/wykaz-zarazen-koronawirusem-sars-cov-2"
for response,version_time in WaybackMachine(url):
    # process response
    pass

The iterated version goes from newest to the older and older version all the way to end date at given step of date axis for querying the archive.

Update of package is done with

pip install --upgrade waybackmachine

Start, end and step configuration

Library enables setting of start date, end date and step size as timedelta.

Since iterating is done backwards in time, end date precedes start date!

Setting the querying for weekly from 1st May back to 1st February 2020 is done with

from datetime import datetime,timedelta
from waybackmachine import WaybackMachine

url = "https://www.liu.se/"
for response,version_time in WaybackMachine(url, start = datetime(2020,5,1), end = datetime(2020,2,1), step = timedelta(days = 7)):
    # process response
    pass

The date can be also specified one of following string formats:

  • %Y-%m-%d
  • %Y-%m-%d %H:%M
  • %Y-%m-%d %H:%M:%S
for response,version_time in WaybackMachine(url, start = "2020-05-01", end = "2020-02-01", step = timedelta(days = 7)):
    # process response
    pass

String representation of timedelta will be added.

Configurations

On frequent use-cases, custom configurations of parameters are added to the packages.

These consist of default parameter values.

So far following configurations are available:

  • default - start is now(), end is beginning of year of start (hence length can be 0 - 365 days), 1 day step
  • covid - start is now() (might be changed, if covid disappears), end is 2020-01-01, COVID-19 spread into the world after. In China the COVID-19 has already occurred before!. Step is 12 h.

Contribution

Developed by Martin Benes.

Join on GitHub.

Download files

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

Source Distribution

waybackmachine-0.1.0.tar.gz (6.5 kB view details)

Uploaded Source

Built Distribution

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

waybackmachine-0.1.0-py3-none-any.whl (5.4 kB view details)

Uploaded Python 3

File details

Details for the file waybackmachine-0.1.0.tar.gz.

File metadata

  • Download URL: waybackmachine-0.1.0.tar.gz
  • Upload date:
  • Size: 6.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3rc1

File hashes

Hashes for waybackmachine-0.1.0.tar.gz
Algorithm Hash digest
SHA256 695e1e97cdab75696689d675930c05019e7119bd305de25c4d2d3c2f609f1ebd
MD5 ea9d56e9eb077e20fd5a21cc46715515
BLAKE2b-256 d5259337cdc47372e90bc8a71d45eac73e436eb8ac84da9aef6f1335ffd2364b

See more details on using hashes here.

File details

Details for the file waybackmachine-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: waybackmachine-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 5.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3rc1

File hashes

Hashes for waybackmachine-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 dc76e85902bfab29cf76d3a7872bb3ae6ec9a5a86cf387b1d2910f67539c68e4
MD5 64d13a54d6377140b04b14bc4f93e9e7
BLAKE2b-256 d91203df043975110844083d6d76298c135acb97467b4bc9abfa92b243cdd07a

See more details on using hashes here.

Release history Release notifications | RSS feed

0.5.0

2 files

0.4.1

2 files

0.4.0

2 files

0.3.0

2 files

0.2.0

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

This release

0.1.0 This release

2 files

0.0.2

2 files

0.0.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page