Skip to the content

Automate Everything !

🤖 Explore with AI: ChatGPT Perplexity Claude Google AI Grok

For Enterprises | Teams | Start-Ups

eZintegrations

eZintegrations – AI Workflows & AI Agents Automation Hub

Automate to Innovate

0
$0.00
eZintegrations

eZintegrations – 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 – 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 – 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 – Fast Website Scraping
  • AI Workflow Testing APIs
    • Netsuite Source Testing API (Netsuite API Replica)
    • Salesforce Testing API (Salesforce API replica)
    • OAuth2.0 Testing API 
    • Basic Auth Testing API 
    • No Auth Testing API
    • Pagination with Body Testing API
    • Next URL Pagination Testing API 
    • Total Page Count Pagination Testing API
    • Cursor Pagination Testing API 
    • 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 – 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 – eZintegrations Documents & Resources | Official Guides & Manuals
View Categories

Handling XML Responses in eZintegrations

Overview

Handling XML responses in eZintegrations enables organizations to process data from legacy systems, SOAP APIs, and older business tools. XML remains widely used in enterprise environments, and effective XML handling ensures uninterrupted data exchange and automation continuity.

eZintegrations provides built-in and AI-powered operations to convert, extract, clean, and transform XML data into structured formats such as JSON. This makes XML-based integrations easier to manage and more compatible with modern analytics, reporting, and storage systems.

When to Use

Use XML handling features in eZintegrations when working with systems that generate or consume XML-based data.

  • Integrating with SOAP-based APIs
  • Connecting to legacy enterprise systems
  • Processing XML-based reports
  • Handling base64-encoded files within XML
  • Converting XML data for analytics and dashboards

How It Works

eZintegrations processes XML data through a sequence of transformation operations. Each operation performs a specific task, enabling structured and reliable data conversion.

XML to JSON

This operation converts XML text into a structured JSON object. It extracts values from defined keys and simplifies complex XML hierarchies into readable formats.

Data Extractor

Data Extractor navigates through JSON objects to retrieve specific keys and values. It removes unnecessary elements and isolates relevant data.

Substitute

Substitute replaces unwanted characters, patterns, or strings in the extracted data. It is commonly used to clean formatting artifacts from XML outputs.

Base64 Decoding

Base64 Decoding converts encoded strings embedded in XML back into their original formats, such as text files, reports, or documents.

Delimiter to JSON

Delimiter to JSON transforms comma-separated or delimited text into structured JSON arrays or objects, making data searchable and reusable.

How to Configure / How to Use

Follow these steps to process XML responses in eZintegrations.

  1. Configure the source system to provide XML responses.
  2. Add an XML to JSON operation to convert incoming data.
  3. Apply Data Extractor to select required fields.
  4. Use Substitute to clean unwanted patterns.
  5. Apply Base64 Decoding when encoded content is present.
  6. Convert delimited output using Delimiter to JSON.
  7. Map final JSON output to the destination system.

Alternatively, users can use AI operations to perform all transformations in a single step using natural language instructions.

Using AI-Based XML Transformation

AI operations allow users to define XML processing logic using plain English. The system automatically chains required transformations and produces structured output.

Convert the incoming {%bizdata_dataset_response%} to JSON, extract the base64-encoded
string from the 'ReportBytes' key in the nested structure, decode the base64 content,
replace any '77u/' padding with nothing, and if the decoded data is comma-delimited,
convert it into a JSON array of records under the key 'salesData'.

This approach reduces manual configuration and simplifies complex XML transformation pipelines.

Sample XML Response

The following example illustrates a typical SOAP-based XML response containing base64-encoded data.

<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <soapenv:Body>
    <runReportResponse>
      <ReportBytes>77u/Base64EncodedDataHere</ReportBytes>
    </runReportResponse>
  </soapenv:Body>
</soapenv:Envelope>

This XML contains a base64-encoded report embedded within the ReportBytes element.

Example Workflow: Oracle SOAP Report Processing

A typical use case involves connecting to an Oracle reporting system that delivers SOAP XML responses with encoded reports.

Using eZintegrations, the workflow follows these steps:

  • Convert XML response to JSON.
  • Extract the ReportBytes field.
  • Remove unwanted “77u/” patterns.
  • Decode base64 content.
  • Transform comma-separated data into JSON records.

The resulting structured JSON output can be sent directly to CRM systems, dashboards, or analytics platforms.

Troubleshooting

Use the following guidelines to resolve common XML processing issues.

  • Invalid XML Parsing: Verify namespace declarations and tag structure.
  • Missing Data Fields: Confirm correct key paths in Data Extractor.
  • Base64 Decode Errors: Ensure encoded strings are complete and properly cleaned.
  • Unexpected Output Format: Review delimiter and mapping configurations.
  • Pipeline Failures: Check execution logs and step dependencies.

Frequently Asked Questions

What is XML handling in eZintegrations?

XML handling refers to the process of converting, extracting, cleaning, and transforming XML data into structured formats such as JSON for downstream systems.

Can eZintegrations process SOAP responses?

Yes. eZintegrations can process SOAP-based XML responses by converting them into JSON and applying extraction and transformation operations.

Is manual scripting required?

No. Users can configure visual pipelines or use AI-based instructions without writing custom scripts.

How are base64 files handled?

Base64-encoded content is decoded using the Base64 Decoding operation and converted into its original format.

Can delimited reports be converted to JSON?

Yes. The Delimiter to JSON operation converts comma-separated or delimited text into structured JSON records.

Notes

  • Use clear key paths when extracting nested XML values.
  • Validate decoded content before sending to downstream systems.
  • Regularly monitor execution logs for transformation errors.
  • Prefer AI operations for complex multi-step conversions.

Conclusion

eZintegrations simplifies XML response handling by combining structured operations and AI-driven automation. Organizations can reliably transform legacy XML data into modern formats, reduce manual processing, and maintain efficient integration workflows.

By enabling seamless XML-to-JSON transformation and intelligent data cleaning, the platform supports scalable and maintainable enterprise automation.

Updated on February 19, 2026

What are your Feelings

  • Happy
  • Normal
  • Sad

Share This Article :

  • Facebook
  • X
  • LinkedIn
  • Pinterest
From Emails to Insights: eZintegrations AI Turns Chaos into OpportunityText to Action: Shape Data with Plain English or Python in eZintegrations
Table of Contents
  • Overview
  • When to Use
  • How It Works
    • XML to JSON
    • Data Extractor
    • Substitute
    • Base64 Decoding
    • Delimiter to JSON
  • How to Configure / How to Use
  • Using AI-Based XML Transformation
  • Sample XML Response
  • Example Workflow: Oracle SOAP Report Processing
  • Troubleshooting
  • Frequently Asked Questions
    • What is XML handling in eZintegrations?
    • Can eZintegrations process SOAP responses?
    • Is manual scripting required?
    • How are base64 files handled?
    • Can delimited reports be converted to JSON?
  • Notes
  • Conclusion
© Copyright 2026 Bizdata Inc. | All Rights Reserved | Terms of Use | Privacy Policy