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@chrisoklepke
Created December 22, 2022 14:52
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Import a CSV file in Python with HubSpot API Library
First Name Last Name Email Address
Lorelai Gilmore lorelai@thedragonfly.com
Leslie Knope leslie@pawneeparks.com
Eleanor Shellstrop eleanor@thegoodplace.com
Luke Danes luke@lukesdiner.com
import os
import json
from pprint import pprint
from hubspot import HubSpot
from dotenv import load_dotenv
# load_dotenv might not be necessary depending how you store/load access tokens
load_dotenv()
hubspot = HubSpot(access_token=os.getenv("access_token"))
# The name of the CSV file
file_name = "example.csv"
# Assuming the import file is in the same directory as the code
current_dir = os.path.dirname(__file__)
# Piecing together the absolute file path
absolute_file_path = os.path.join(current_dir, file_name)
# First argument in method needs to be a list as you could import multiple files
files = [absolute_file_path]
# Second argument in method needs to be JSON
import_data = json.dumps(
{
"name": "Example Import 01", # Name of the import that shows in the HubSpot Import Tool
"files": [
{
"fileName": file_name, # The file name pulled from the variable
"fileFormat": "CSV",
"dateFormat": "DAY_MONTH_YEAR",
"marketableContactImport": False, # Set to True if rows need to be Marketing Contacts
"fileImportPage": {
"hasHeader": True,
"columnMappings": [
{
"columnObjectTypeId": "0-1", # The respective object you want to map to
"columnName": "First Name", # Header row from CSV
"propertyName": "firstname", # Internal property name
},
{
"columnObjectTypeId": "0-1",
"columnName": "Last Name",
"propertyName": "lastname",
},
{
"columnObjectTypeId": "0-1",
"columnName": "Email",
"propertyName": "email",
"idColumnType": "HUBSPOT_ALTERNATE_ID", # Applies only to ID properties
},
],
},
}
],
}
)
# API call with HubSpot API Library
csv_import = hubspot.crm.imports.core_api.create(
files=files, import_request=import_data
)
pprint(csv_import)
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