Skip to content


Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?


Failed to load latest commit information.
Latest commit message
Commit time
July 31, 2020 22:01
August 14, 2020 20:58
July 31, 2020 22:01
July 31, 2020 22:01
May 22, 2020 16:00
October 7, 2019 15:41
November 6, 2014 14:11
August 17, 2014 15:51
July 31, 2020 22:01
March 22, 2016 12:51
July 5, 2015 12:21
May 22, 2020 15:33
May 22, 2020 16:00
February 23, 2016 21:09
May 6, 2019 16:03
Alfred-Workflow logo


A helper library in Python for authors of workflows for Alfred 3 and 4.

Build Status Coverage Status Development Status Latest Version Supported Python Versions

Supports Alfred 3 and Alfred 4 on macOS 10.7+ (Python 2.7).

Alfred-Workflow takes the grunt work out of writing a workflow by giving you the tools to create a fast and featureful Alfred workflow from an API, application or library in minutes.

Always supports all current Alfred features.


  • Auto-saved settings API for your workflow
  • Super-simple data caching with expiry
  • Fuzzy filtering (with smart diacritic folding)
  • Keychain support for secure storage of passwords, API keys etc.
  • Lightweight web API with Requests-like interface
  • Background tasks to keep your workflow responsive
  • Simple generation of Alfred JSON feedback
  • Full support of Alfred's AppleScript/JXA API
  • Catches and logs workflow errors for easier development and support
  • "Magic" arguments to help development/debugging
  • Unicode support
  • Pre-configured logging
  • Automatically check for workflow updates via GitHub releases
  • Post notifications via Notification Center

Alfred 4+ features

  • Advanced modifiers
  • Alfred 4-only updates (won't break older Alfred installs)



Note: If you're new to Alfred workflows, check out the tutorial in the docs.

With pip

You can install Alfred-Workflow directly into your workflow with:

# from your workflow directory
pip install --target=. Alfred-Workflow

You can install any other library available on the Cheese Shop the same way. See the pip documentation for more information.

It is highly advisable to bundle all your workflow's dependencies with your workflow in this way. That way, it will "just work".

From source

  1. Download the from the GitHub releases page.
  2. Extract the ZIP archive and place the workflow directory in the root folder of your workflow (where info.plist is).

Your workflow should look something like this:

Your Workflow/

Alternatively, you can clone/download the Alfred-Workflow repository and copy the workflow subdirectory to your workflow's root directory.


A few examples of how to use Alfred-Workflow.

Workflow script skeleton

Set up your workflow scripts as follows (if you wish to use the built-in error handling or sys.path modification):

# encoding: utf-8

import sys

# Workflow3 supports Alfred 3's new features. The `Workflow` class
# is also compatible with Alfred 2.
from workflow import Workflow3

def main(wf):
    # The Workflow3 instance will be passed to the function
    # you call from ``.
    # Not super useful, as the `wf` object created in
    # the `if __name__ ...` clause below is global...
    # Your imports go here if you want to catch import errors, which
    # is not a bad idea, or if the modules/packages are in a directory
    # added via `Workflow3(libraries=...)`
    import somemodule
    import anothermodule

    # Get args from Workflow3, already in normalized Unicode.
    # This is also necessary for "magic" arguments to work.
    args = wf.args

    # Do stuff here ...

    # Add an item to Alfred feedback
    wf.add_item(u'Item title', u'Item subtitle')

    # Send output to Alfred. You can only call this once.
    # Well, you *can* call it multiple times, but subsequent calls
    # are ignored (otherwise the JSON sent to Alfred would be invalid).

if __name__ == '__main__':
    # Create a global `Workflow3` object
    wf = Workflow3()
    # Call your entry function via `` to enable its
    # helper functions, like exception catching, ARGV normalization,
    # magic arguments etc.


Cache data for 30 seconds:

def get_web_data():
    return web.get('').json()

def main(wf):
    # Save data from `get_web_data` for 30 seconds under
    # the key ``example``
    data = wf.cached_data('example', get_web_data, max_age=30)
    for datum in data:
        wf.add_item(datum['title'], datum['author'])



Grab data from a JSON web API:

data = web.get('').json()

Post a form:

r ='',
             data={'artist': 'Tom Jones', 'song': "It's not unusual"})

Upload a file:

files = {'fieldname' : {'filename': "It's not unusual.mp3",
                        'content': open("It's not unusual.mp3", 'rb').read()}
r ='', files=files)

WARNING: As this module is based on Python 2's standard HTTP libraries, on old versions of OS X/Python, it does not validate SSL certificates when making HTTPS connections. If your workflow uses sensitive passwords/API keys, you should strongly consider using the requests library upon which the API is based.

Keychain access

Save password:

wf = Workflow()
wf.save_password('name of account', 'password1lolz')

Retrieve password:

wf = Workflow()
wf.get_password('name of account')


The full documentation, including API docs and a tutorial, can be found at

Dash docset

The documentation is also available as a Dash docset.

Licensing, thanks

The code and the documentation are released under the MIT and Creative Commons Attribution-NonCommercial licences respectively. See LICENCE.txt for details.

The documentation was generated using Sphinx and a modified version of the Alabaster theme by bitprophet.

Many of the cooler ideas in Alfred-Workflow were inspired by Alfred2-Ruby-Template by Zhaocai.

The Keychain parser was based on Python-Keyring by Jason R. Coombs.


Adding a workflow to the list

If you want to add a workflow to the list of workflows using Alfred-Workflow, don't add it to the docs! The list is machine-generated from and the library_workflows.tsv file. If your workflow is available on Packal, it will be added on the next update. If not, please add it to library_workflows.tsv, and submit a corresponding pull request.

The list is not auto-updated, so if you've released a workflow and are keen to see it in this list, please open an issue asking me to update the list.

Bug reports, pull requests

Please see the documentation.


Workflows using Alfred-Workflow

Here is a list of some of the many workflows based on Alfred-Workflow.