hubspot-functions | Some helper functions to extract data from HubSpot via API

by bengen343 Python Version: Current License: No License

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kandi X-RAY | hubspot-functions Summary

hubspot-functions is a Python library. hubspot-functions has no bugs, it has no vulnerabilities and it has low support. However hubspot-functions build file is not available. You can download it from GitHub.

A series of helper functions to extract data from my HubSpot database. get_engaged_contacts: Returns a dataframe of all contacts who were created or engaged after a certain date. get_deals: Return a dataframe of all deals after a given date. get_associated_contacts: Return a dataframe of all contacts associated with given deals. get_customers: Return a dataframe of all paying customers. get_email_events: Return a dataframe of all email events for a given list of email addresses.

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hubspot-functions has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

hubspot-functions has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hubspot-functions is current.

Quality

hubspot-functions has no bugs reported.

Security

hubspot-functions has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

hubspot-functions does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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hubspot-functions releases are not available. You will need to build from source code and install.

hubspot-functions has no build file. You will be need to create the build yourself to build the component from source.

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Install hubspot-functions

You can download it from GitHub.
You can use hubspot-functions like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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