1/30/2026 · 1 min read
salesforcedata-cloudapiautomationpythonintegration
This article explores how to automate the setup of Salesforce Data Cloud (formerly Data 360) data streams. It details an approach leveraging the Data Cloud API, Python scripting, and Slack for efficient and streamlined data ingestion onboarding.
This article outlines an automated, practical method for Salesforce data migration using Python's ETL capabilities within Google Colab, leveraging the simple-salesforce library. It demonstrates a systematic framework for extracting, transforming, and loading data between Salesforce instances with robust error handling and logging.
Salesforce introduces its Spring ’26 Release, bringing potent AI, data, and automation capabilities to unify customer experience and foster an "Agentic Enterprise" model. This release aims to blend human expertise with AI agents for enhanced customer success, launching on February 23.
This guide provides a comprehensive overview of key developer features in the Salesforce Spring '26 release. It covers important updates across Lightning Web Components, Apex, Agentforce, Data 360, and core developer tools.