Skip to the content

Automate Everything !

๐Ÿค– Explore with AI: ChatGPT Perplexity Claude Google AI Grok

For Enterprises | Teams | Start-Ups

eZintegrations

eZintegrations โ€“ AI Workflows & AI Agents Automation Hub

Automate to Innovate

0
$0.00
eZintegrations

eZintegrations โ€“ AI Workflows & AI Agents Automation Hub

Automate to Innovate

Menu
0
$0.00
  • Categories
    • Workflow Automation
    • AI Workflow
    • AI Agent
    • Agentic AI
  • Home
  • Automate Now !
  • About Us
  • Contact
  • Blog
  • Pricing
  • Free AI Workflow
  • Free AI Agents

eZintegrations

  • eZintegrations Introduction
  • Integration Bridge
    • Rename Integration Bridge
    • Enable and Disable Integration Bridge
    • Integration Bridge Save
    • Integration Bridge Run Once
    • Clear Logs of An Integration Bridge
    • Integration Bridge Share Feature
    • Copy Operation
    • Integration Bridge Import/Export
    • Integration Bridge Auto Save Feature
    • View An Integration Bridge
    • Copy Integration Bridge
    • Streaming Logs of Integration Bridge
    • Download Logs of An Integration Bridge
    • Status of Integration Bridge
    • Refresh an Integration Bridge
    • Stop An Integration Bridge
    • Start An Integration Bridge
    • Frequency
  • Feedback
    • Feedback: Tell Us What You Think
  • Understanding Session Timeout
    • Understanding Session Timeout and the Idle Countdown Timer
  • Alerts
    • Alerts
  • Marketplace
    • Marketplace
  • DIY Articles
    • 60+ Transformations for Smarter Data: How eZintegrations Powers Operations
    • From SOAP to GraphQL: Modernizing Integrations with eZintegrations
    • Accelerate Growth with eZintegrations Unified API Marketplace
    • Collaborative Integrations: Sharing Bridges in eZintegrations to Foster Cross-Team Innovation
    • Unlocking Hidden Value in Unstructured Data: eZintegrations AI Document Magic for Strategic Insights
    • Workflow Cloning Wizardry: Replicating Success with eZintegrations Integration Duplication for Rapid Scaling
    • Time Zone Triumph: Global Scheduling in eZintegrations for Synchronized Cross-Border Operations
    • Parallel Processing Power: eZintegrations Multi-Threaded Workflows for Lightning Fast Data Syncs
    • From Data Chaos to Competitive Edge: How eZintegrations AI Syncs Silos and Boosts ROI by 40%
    • From Emails to Insights: eZintegrations AI Turns Chaos into Opportunity
    • Handling XML Responses in eZintegrations
    • Text to Action: Shape Data with Plain English or Python in eZintegrations
    • AI Magic: Send Data to Any Database with a Simple English Prompt in eZintegrations
    • Configuring Netsuite as Source
    • Configuring Salesforce as Source
    • Overcoming Upsert Limitations: A Case Study on Enabling Upsert Operations in APIs without Inherent Support
    • Connecting QuickBooks to Datalake
    • Connecting Salesforce to Netsuite
    • Connecting My-SQL to Salesforce Using Bizdata Universal API
    • Effortless Integration Scheduling: Mastering Biweekly Execution with eZintegrations
    • Connecting MS-SQL or Oracle Database to Salesforce Using Bizdata Universal API
    • Establishing Token-Based Authentication within NetSuite
    • Registering a Salesforce App and Obtaining Client ID / Secret (for API Calls / OAuth)
  • Management
    • Adding Users and Granting Organization Admin Privileges : Step-by-Step Guide
    • Security Matrix
    • Adding Users as an Organization Admin (Step-by-Step Guide)
  • Appendix
    • Pivot Operation Use Cases
    • Efficient Column Renaming in eZintegration Using Python Operation
    • Filter Operation Use Cases
    • Connecting any Database to Database
    • Connecting Data Targets
    • Connecting Data Sources
  • Release Notes
    • Release Notes
  • Accounting & Billing
    • Invoices
    • Billing Information
    • Payment Method
    • Current Plan
    • Plans
    • Dashboard
  • My Profile
    • My Profile
  • OnBoarding
    • Microsoft Login
    • Multi-Factor Authentication
    • Login for New Users
  • Pycode Examples
    • Extract Domain Name from Email using Split
    • Split String with Regular Expression
    • Bulk Rename of Keys
    • Form a JSON Object from array of array
    • URL Parsing
    • Form a JSON Object based on the key and values available in JSON Dataset
    • Convert Empty String in a JSON to a “null” value
    • Generate a OAuth 1.0 Signature or Store a Code Response in a User Defined Variable
    • Rename JSON Key based on other key’s value
  • Sprintf
    • Sprintf
  • Data Source Management
    • Data Source Management
  • Data Source API
    • Response Parameters: Text, XML, and JSON Formats
    • Environment Settings for Reusable and Dynamic Configuration
    • API Numeric Parameters for Pagination and Record Limits
    • API Time Parameters for Date and Time Filtering
    • How to test the Data Source API
    • Pre- Request Scripts
      • Pre- Request Scripts for Amazon S3
      • Pre- Request Scripts for Oracle Netsuite
      • Pre-Request Script for Amazon SP API
      • Pre-Request Scripts
    • API Pagination Methods
      • Custom Pagination
      • Encoded Next Token Pagination
      • Cursor Pagination
      • Pagination with Body
      • Total Page Count Pagination
      • Offset Pagination
      • Next URL Pagination
      • API Pagination Introduction
      • Pagination examples
        • SAP Shipment API Pagination
        • Amazon SP API Pagination
    • API Authorization
      • OAuth 2.0 Authorization
      • OAuth 1.0 Authorization
      • Basic Authentication Method
      • API Key Authorization Method
      • Different Types of API Authorization
  • Console
    • Console: Check Your Data at Every Step
  • eZintegrations Dashboard Overview
    • eZintegrations Dashboard Overview
  • Monitoring Dashboard
    • Monitoring Dashboard
  • Advanced Settings
    • Advanced Settings
  • Summary
    • Summary
  • Data Target- Email
    • Data Target- Email
  • Data Target- Bizintel360 Datalake Ingestion
    • Data Target- Goldfinch Analytics Datalake Ingestion
  • Data Target- Database
    • Data Target – Database SQL Examples
    • Database as a Data Target
  • Data Target API
    • Response Parameters
    • REST API Target
    • Pre-Request Script
    • Test the Data Target
  • Bizdata Dataset
    • Bizdata Dataset Response
  • Data Source- Email
    • Extract Data from Emails
  • Data Source- Websocket
    • WebSocket Data Source Overview
  • Data Source Bizdata Data Lake
    • How to Connect Data Lake as Source
  • Data Source Database
    • How to connect Data Source Database
  • Data Operations
    • Deep Learning
    • Data Orchestration
    • Data Pipeline Controls
    • Data Cleaning
    • Data Wrangling
    • Data Transformation

Goldfinch AI

  • Goldfinch AI Introduction

Bizdata API

  • Universal API for Database
    • API for PostgreSQL Database โ€“ Universal API
    • API for Amazon Aurora Database (MySQL/Maria) – Universal API
    • API for Amazon Redshift Database – Universal API
    • API for Snowflake Database – Universal API
    • API for MySQL/Maria Database โ€“ Universal API
    • API for MS-SQL Database-Universal API
    • API for Oracle Database- Universal API
    • Introduction to Universal API for Databases
  • SFTP API
    • SFTP API
  • Document Understanding APIs
    • Document Understanding API- Extract data from Documents
  • Web Crawler API
    • Web Crawler API โ€“ Fast Website Scraping
  • AI Workflow Testing APIs
    • Netsuite Source Testing API (Netsuite API Replica)
    • Salesforce Testing API (Salesforce API replica)
    • OAuth2.0 Testing APIย 
    • Basic Auth Testing APIย 
    • No Auth Testing API
    • Pagination with Body Testing API
    • Next URL Pagination Testing APIย 
    • Total Page Count Pagination Testing API
    • Cursor Pagination Testing APIย 
    • Offset Pagination Testing API
  • Import IB API
    • Import Integration service with .JSON file
  • Linux File & Folder Monitoring APIs
    • Monitor Linux Files & Folder using APIs
  • Webhook
    • Webhook Integration-Capture Events in Real Time
  • Websocket
    • Websocket Integration- Fetch Real Time Data
  • Image Understanding
    • Image Understanding API โ€“ Extract data from Images

Goldfinch Analytics

  • Visualization Login
    • Enabling Two Factor Authentication
    • Visualization login for analytics users
  • Profile
    • Profile
  • Datalake
    • Datalake
  • Discover
    • Discover
  • Widgets
    • Filter
    • Widget List
    • Widgets Guide
    • Creating Widgets & Adding Widgets to Dashboard
  • Dashboard
    • Dashboard
  • Views
    • Views
  • Filter Queries
    • Filter Queries for Reports and Dashboard
  • Alerts
    • Alerts
  • Management
    • Management
  • Downloading Reports with Filtered Data
    • Downloading Reports with Filtered Data in Goldfinch Analytics
  • Downloads
    • Downloads โ€“ eZintegrations Documents & Resources | Official Guides & Manuals
View Categories

Extract Domain Name from Email using Split

Overview

Extracting a domain name from an email address is a common requirement in data processing and integration workflows. This process separates the domain portion from the user identifier using string manipulation.

In eZintegrations, Python Operations can be used to extract the domain name from incoming email data using the split function.

When to Use

Use this method when you need to identify or process the company domain from user email addresses.

  • Mapping users to organizations
  • Validating corporate email domains
  • Automating company identification
  • Enriching integration workflows
  • Processing user profile data

How It Works

The email address is split at the @ symbol using Pythonโ€™s split() function. The portion after the symbol represents the domain name.

This extracted domain is then added to the outgoing JSON response for use in downstream processes.

Incoming JSON Data

The Python Operation receives email information in JSON format as input.

{
  "email": "info@bizdata360.com"
}

Python Operation Logic

The following Python script retrieves the email value, extracts the domain using the split function, and prepares the output response.

# Sending to input of operation
Responsedata = []

# Extract the value of the "email" key
email_value = pycode_data.get("email", "")  # Default to empty string if missing

def extract_domain(email):
    # Split the email at '@' and get the domain part
    domain = email.split('@')[-1].strip()
    return domain

# Extract the domain
domain = extract_domain(email_value)

# Prepare the response as JSON
response = {
    "companyDomain": domain  # Domain name (e.g., bizdata360.com)
}

# Sending to output of operation
pycode_data.update(response)

Outgoing Data

After processing, the Python Operation returns the original email and the extracted domain name.

{
  "email": "info@bizdata360.com",
  "companyDomain": "bizdata360.com"
}

How to Use

Follow these steps to extract the domain name using Python Operations.

  1. Configure the integration to receive email data in JSON format.
  2. Open the Python Operation editor.
  3. Paste the domain extraction script.
  4. Ensure the input variable contains the email key.
  5. Save and deploy the workflow.
  6. Test the operation with sample input.

Use Case Example

This method can be used to automatically associate users with their organizations based on email domain.

  • Email: user@company.com
  • Extracted Domain: company.com
  • Mapped Organization: Company

Troubleshooting

  • Verify that the input JSON contains the email field.
  • Ensure the email format includes the @ symbol.
  • Check for empty or null email values.
  • Confirm that pycode_data is properly initialized.
  • Review logs if the output is missing the domain field.

Frequently Asked Questions

What does the split function do in this example?

The split function separates the email string at the @ symbol and returns the domain portion.

What happens if the email field is missing?

The script assigns an empty string as the default value, preventing runtime errors.

Can this method work with multiple emails?

This implementation processes one email value at a time. Multiple emails require looping logic.

Why is strip() used after splitting?

The strip() method removes extra spaces that may appear before or after the domain value.

Is this method case-sensitive?

The extraction preserves the original case of the domain as provided in the input.

Notes

  • This method assumes valid email formatting.
  • Additional validation may be required for untrusted inputs.
  • Store extracted domains securely when used in workflows.
  • Use consistent naming conventions for output fields.
Updated on February 19, 2026

What are your Feelings

  • Happy
  • Normal
  • Sad

Share This Article :

  • Facebook
  • X
  • LinkedIn
  • Pinterest
Rename JSON Key based on other key’s valueSplit String with Regular Expression
Table of Contents
  • Overview
  • When to Use
  • How It Works
  • Incoming JSON Data
  • Python Operation Logic
  • Outgoing Data
  • How to Use
  • Use Case Example
  • Troubleshooting
  • Frequently Asked Questions
    • What does the split function do in this example?
    • What happens if the email field is missing?
    • Can this method work with multiple emails?
    • Why is strip() used after splitting?
    • Is this method case-sensitive?
  • Notes
ยฉ Copyright 2026 Bizdata Inc. | All Rights Reserved | Terms of Use | Privacy Policy