Skip to main content

Programm zum Flotten Einfachen Runterladen von Dateien

Project description


Programm zum Flotten, Einfachen Runterladen von Dateien

Other resources:


Direct download

Binaries for Linux, Windows and Mac can be downloaded directly from the latest release.

With pip

Ensure you have at least Python 3.9 installed. Run the following command to install PFERD or upgrade it to the latest version:

$ pip install --upgrade git+

The use of venv is recommended.

With package managers

Unofficial packages are available for:

See also PFERD's repology page.

Basic usage

PFERD can be run directly from the command line with no config file. Run pferd -h to get an overview of available commands and options. Run pferd <command> -h to see which options a command has.

For example, you can download your personal desktop from the KIT ILIAS like this:

$ pferd kit-ilias-web desktop <output_directory>

Also, you can download most ILIAS pages directly like this:

$ pferd kit-ilias-web <url> <output_directory>

However, the CLI only lets you download a single thing at a time, and the resulting command can grow long quite quickly. Because of this, PFERD can also be used with a config file.

To get started, just take a command you've been using and add --dump-config directly after pferd, like this:

$ pferd --dump-config kit-ilias-web <url> <output_directory>

This will make PFERD write its current configuration to its default config file path. You can then run pferd without a command and it will execute the config file. Alternatively, you can use --dump-config-to and specify a path yourself. Using --dump-config-to - will print the configuration to stdout instead of a file, which is a good way to see what is actually going on when using a CLI command.

Another good way to see what PFERD is doing is the --explain option. When enabled, PFERD explains in detail what it is doing and why. This can help with debugging your own config.

If you don't want to run all crawlers from your config file, you can specify the crawlers you want to run with --crawler or -C, like this:

$ pferd -C crawler1 -C crawler2

Advanced usage

PFERD supports lots of different options. For example, you can configure PFERD to use your system's keyring instead of prompting you for your username and password. PFERD also supports transformation rules that let you rename or exclude certain files.

For more details, see the comprehensive config format documentation.


This example downloads a few courses from the KIT ILIAS with a common keyring authenticator. It reorganizes and ignores some files.

# All paths will be relative to this.
# The crawler output directories will be <working_dir>/Foo and <working_dir>/Bar.
working_dir = ~/stud
# If files vanish from ILIAS the local files are not deleted, allowing us to
# take a look at them before deleting them ourselves.
on_conflict = no-delete

type = keyring
username = foo

type = kit-ilias-web
auth = auth:ilias
# Crawl a course by its ID (found as `ref_id=ID` in the URL)
target = 1234567

# Plaintext files are easier to read by other tools
links = plaintext

transform =
  # Ignore unneeded folders
  Online-Tests --> !
  Vorlesungswerbung --> !

  # Rename folders
  Lehrbücher --> Vorlesung
  # Note the ">>" arrow head which lets us apply further rules to files moved to "Übung"
  Übungsunterlagen -->> Übung

  # Move exercises to own folder. Rename them to "Blatt-XX.pdf" to make them sort properly
  "Übung/(\d+). Übungsblatt.pdf" -re-> Blätter/Blatt-{i1:02}.pdf
  # Move solutions to own folder. Rename them to "Blatt-XX-Lösung.pdf" to make them sort properly
  "Übung/(\d+). Übungsblatt.*Musterlösung.pdf" -re-> Blätter/Blatt-{i1:02}-Lösung.pdf

  # The course has nested folders with the same name - flatten them
  "Übung/(.+?)/\\1" -re-> Übung/{g1}

type = kit-ilias-web
auth = auth:ilias
target = 1337420

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

pferd-3.5.2.tar.gz (63.7 kB view hashes)

Uploaded Source

Built Distribution

pferd-3.5.2-py3-none-any.whl (75.9 kB view hashes)

Uploaded Python 3

Supported by

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