HubSpot, one of the most widely adopted marketing, sales, and service platforms, is known for its flexibility and ease of use.
But as businesses grow, so do their technical needs.
This brings us to a common question: Can I use Python in HubSpot?
The short answer is yes, Python can be used in HubSpot.
Through HubSpot’s API, the HubSpot Python library, and other tools, developers can integrate Python-based solutions into their HubSpot workflows, allowing businesses to automate tasks, gather valuable analytics, and manage data.
In this blog, we’ll explore how Python can be used with HubSpot, ,multiple use cases, and how developers can start building custom integrations using Python.
To begin using Python in HubSpot, the first thing you’ll need to understand is HubSpot’s API.
The HubSpot API allows developers to interact with HubSpot’s CRM, marketing, sales, and service functionalities.
Python is one of the many programming languages you can use to access these APIs through the official HubSpot Python library.
The HubSpot Python API SDK offers a pre-built set of tools to help developers work with HubSpot’s API.
With this SDK, developers can easily create and manage HubSpot objects such as contacts, deals, companies, and custom objects.
It also provides methods for sending data to and retrieving data from HubSpot’s servers.
Using Python to access HubSpot’s API enables businesses to automate complex workflows, handle bulk data processing, or integrate HubSpot with other platforms.
Use the HubSpot Python API documentation to understand the different endpoints and objects you can work with.
HubSpot provides SDKs for multiple programming languages, but the Python HubSpot API SDK is a single choice for those familiar with Python.
The official HubSpot Python library simplifies the process of making API calls to HubSpot.
It abstracts the complexity of HTTP requests, allowing developers to focus on business logic rather than dealing with API details.
Some of the core functionalities provided by the HubSpot Python library include:
Create, update, or retrieve contacts.
Automate deal and company management tasks.
Capture form data and store it in HubSpot.
Fetch detailed analytics, track marketing campaign performance, and more.
You can easily find the HubSpot Python library on GitHub, which provides open-source access to the library.
This also allows you to contribute, report issues, or request additional features from the community.
Python is often used in HubSpot API integrations to manage and migrate data.
For example, if you’re migrating from another CRM platform to HubSpot, you can use Python scripts to map fields and import data into HubSpot.
Similarly, Python can be used to export data from HubSpot for reporting purposes.
Yes! Python can help automate email marketing in HubSpot.
Using the HubSpot Python API SDK, you can automate tasks such as sending bulk emails, customizing templates, and generating automated follow-up sequences based on specific triggers.
Integrating Python with HubSpot allows for a deeper level of customization and automation in conjunction with other platforms like SendGrid or AWS SES.
Python’s data science libraries like Pandas, Matplotlib, and NumPy can be integrated with HubSpot analytics data, allowing developers to build custom dashboards and advanced data analytics.
Python’s web scraping tools like BeautifulSoup and Scrapy can be integrated with HubSpot to augment CRM data.
For instance, scraping publicly available data about leads and feeding that data into HubSpot CRM can be done in a single go.
You don’t need a website to use Python with HubSpot. Many Python-based integrations with HubSpot can operate independently of a website.
For example, backend data processing or CRM tasks can be managed entirely via Python scripts interacting with HubSpot’s API.
This opens up possibilities for businesses that rely on Python for backend processes but don’t have a traditional front-end website.
While Python is used as a backend language, it can complement JavaScript in HubSpot integrations.
For example, if you are working on front-end development with JavaScript but need a backend solution for data processing, you can leverage Python scripts to process and return data via the HubSpot API.
HubSpot provides a JavaScript SDK for developers who prefer working with JavaScript for front-end tasks.
But combining Python and JavaScript offers a powerful full-stack development option for more complex projects.
HubSpot projects often require integrations with GitHub to manage code repositories, track issues, and collaborate on development tasks.
Python scripts can be used to automate the management of GitHub repositories and sync data with HubSpot CRM.
Automating the creation of tasks in HubSpot based on GitHub issues.
Integrating Python-based CI/CD pipelines with HubSpot for automating testing and deployment of marketing assets.
One of the key advantages of using Python with HubSpot is the ability to automate repetitive tasks. For instance:
Automating lead scoring and lead assignment workflows.
Managing complex sales pipelines by setting triggers for customer behaviors.
Syncing External Data Sources with HubSpot in Real-Time Using Python APIs
By using Python, businesses can ensure that their HubSpot instance is always up-to-date with the latest data from other platforms, providing an easy integration for sales, marketing, and service teams.
Python, combined with HubSpot’s API, offers the flexibility to extract analytics data and perform deeper analysis.
You can use Python to:
Pull raw data from HubSpot for custom reporting.
Analyze customer behavior data and create predictive models.
Generate insights on campaign performance that are beyond HubSpot’s standard reporting.
By combining Python with HubSpot’s analytics data, you can create customized dashboards and reports using popular Python libraries like Matplotlib, Plotly, or Tableau.
A common place where HubSpot developers exchange ideas is Reddit.
Discussions about using Python with HubSpot often center on practical use cases like API integrations, automation scripts, and troubleshooting specific issues.
Some common threads on Reddit about Python and HubSpot include:
If you’re just starting with integrating Python into HubSpot, the best place to begin is by installing the HubSpot Python package from PyPI (Python Package Index).
The package simplifies the process of interacting with HubSpot’s API.
You can install the package using pip:
pip install hubspot-api-client
This package enables you to start building your first integration in minutes by following the official HubSpot Python API documentation.
from hubspot import HubSpot
client = HubSpot(api_key=”your_hubspot_api_key”)
client.crm.contacts.basic_api.create(properties={
“email”: “example@example.com”,
“firstname”: “John”,
“lastname”: “Doe”
})
By leveraging the HubSpot Python library, developers can build custom integrations, automate business processes, and ensure that their marketing and sales teams are always equipped with the most accurate data.
How to integrate HubSpot CRM with Python?
Use the library to authenticate with your API key and make API calls to manage contacts, deals, and other CRM objects.
Can you code in HubSpot CRM?
Yes, you can code in HubSpot CRM by using its APIs to interact with CRM data, as well as custom code actions in Workflows and HubL for web development on HubSpot CMS.
You can also use the HubSpot CRM extensions to add custom functionalities using JavaScript, Python.
What programming languages does HubSpot use in free version?
In the free version of HubSpot, you can use HubL (HubSpot Markup Language) for template customization and JavaScript for frontend interactivity.
You can also access HubSpot’s APIs using programming languages like Python, PHP, or JavaScript for integrations, but server-side code execution is not available directly within the platform itself.
Does HubSpot require coding and development?
HubSpot does not require coding for basic use, as it offers no-code tools for managing CRM, marketing, and sales processes.
Can You Pull in HubSpot Standard Object in Standard Emails