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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
A Python library to interact with the Pipedrive REST API.
Other libs were available, but they tend to be very thing wrappers, basically json in and out.
While this works, as the integration grows the lack of structure and models will make using the API harder and take longer.
This lib aims to have rich types for all resources.
We are aiming at:
Sample usage:
from pipedrive import PipedriveAPI
api = PipedriveAPI('your api token')
print api.deal.detail(200).user.email # someone@example.com
Creating an activity:
from activity import Activity
activity = Activity(raw_data={'subject': "Do something", 'type': "Call me!"})
created_activity = api.activity.create(activity)
print created_activity.id
The API is pretty big, and has tons of resources and each one has tons of fields. We have to be pragmatic: we're only creating the models and resources for the objects we are currently using.
This means that right now very few entities are actually supported. It is, however, awfully easy to add new ones. See for example the activity.Activity model and activity.ActivityResource for a pointer.
Major points:
I needed this, so I made this.
Arthur Debert arthur@loggi.comTopic :: Software Development :: Libraries :: Python Modules
FAQs
Python lib for the pipedrive.com api
We found that pipedrive-py demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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