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|  How to Integrate HubSpot API to Manage Contacts in Python

How to Integrate HubSpot API to Manage Contacts in Python

October 31, 2024

Learn to seamlessly integrate HubSpot API with Python for efficient contact management in this step-by-step guide, optimized for developers.

How to Integrate HubSpot API to Manage Contacts in Python

 

Setup Environment

 

  • Ensure you have Python installed on your system. You will also need the `requests` and `json` libraries, which help in making HTTP requests and handling JSON data, respectively. You can install these dependencies using pip:

 


pip install requests

 

Authentication with HubSpot API

 

  • HubSpot API requires authentication. You can use an API Key or OAuth. For simplicity, we'll cover API Key usage here. Replace `'your_api_key'` with your actual HubSpot API Key.
  • Store the API Key safely, avoiding hardcoding it directly into your scripts.
  • Here's a quick way to authenticate your requests:

 


import requests

API_KEY = 'your_api_key'
# For example purpose, using Contacts endpoint
BASE_URL = f"https://api.hubapi.com/contacts/v1/lists/all/contacts/all?hapikey={API_KEY}"

 

Making Requests to HubSpot API

 

  • To interact with HubSpot Contacts, you will primarily perform CRUD operations: Create, Read, Update, and Delete.
  • Below is how you can make a GET request to retrieve contacts:

 


response = requests.get(BASE_URL)
if response.status_code == 200:
    contacts = response.json()
    for contact in contacts['contacts']:
        print(f"Contact ID: {contact['vid']} Name: {contact['properties']['firstname']['value']}")

else:
    print("Failed to retrieve contacts")

 

Create a New Contact

 

  • To add a new contact, you need to send a POST request with the contact's details in JSON format.
  • Here's how to add a new contact named FirstName and LastName:

 


def create_contact(first_name, last_name, email):
    url = f"https://api.hubapi.com/contacts/v1/contact?hapikey={API_KEY}"
    headers = {'Content-Type': 'application/json'}
    data = {
        "properties": [
            {"property": "email", "value": email},
            {"property": "firstname", "value": first_name},
            {"property": "lastname", "value": last_name}
        ]
    }

    response = requests.post(url, json=data, headers=headers)
    return response.json()

new_contact = create_contact("FirstName", "LastName", "email@example.com")
print(new_contact)

 

Update an Existing Contact

 

  • To update a contact, issue a POST request to the specific contact URL with the updated data.
  • Here's an example of how to update an existing contact's email:

 


def update_contact(contact_id, new_email):
    url = f"https://api.hubapi.com/contacts/v1/contact/vid/{contact_id}/profile?hapikey={API_KEY}"
    headers = {'Content-Type': 'application/json'}
    data = {
        "properties": [
            {"property": "email", "value": new_email}
        ]
    }

    response = requests.post(url, json=data, headers=headers)
    return response.json()

updated_contact = update_contact(contact_id=123, new_email="newemail@example.com")
print(updated_contact)

 

Delete a Contact

 

  • If you need to delete a contact, you will need to send a DELETE request to the contact's endpoint.
  • Below is the code to delete a contact using their VID:

 


def delete_contact(contact_id):
    url = f"https://api.hubapi.com/contacts/v1/contact/vid/{contact_id}?hapikey={API_KEY}"

    response = requests.delete(url)
    return response.status_code

delete_status = delete_contact(contact_id=123)
print(f"Delete status: {delete_status}")

 

Rate Limiting and Error Handling

 

  • HubSpot APIs are rate-limited. Incorporate logic to handle rate limits and retries.
  • Check response codes and include error handling as shown below:

 


try:
    response = requests.get(BASE_URL)
    response.raise_for_status()  # Raises an HTTPError for bad responses
    # Handle successful response
    contacts = response.json()
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err}")
except Exception as err:
    print(f"Other error occurred: {err}")

 

Best Practices

 

  • Always handle API keys and sensitive information securely, avoiding hard-coded values in your scripts.
  • Use environment variables or configuration files to manage API keys.
  • Implement logging for better monitoring and error tracking.
  • In production applications, consider using a library like `backoff` to manage rate-limits and retries.

 

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