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LSEG Data Platform News Alerts with Python

LSEG Data Platform (Data Platform) is a cloud-enabled, open platform that brings together content, analytics, and proprietary, customer, and third-party data. It exposes that content through web-based APIs, so applications written in languages such as Python can authenticate, request data, and consume Data Platform services programmatically.

This notebook demonstrates the alerts workflow for retrieving news headlines or stories from Data Platform in Python. Rather than using a synchronous request-response call for each update, the alerts service lets an application create a subscription and receive matching events asynchronously.

Data Platform supports multiple delivery mechanisms depending on the content set, including Request/Response, Alerts or Messages-Services, Bulk, and Streaming. For news alerts, the platform uses the Alerts or Messages-Services model together with Amazon SQS, allowing subscribed applications to poll a queue for updates that match the subscription criteria.

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This notebook demonstrates the alerts workflow for retrieving news headlines or stories from Data Platform in Python. Rather than using a synchronous request-response call for each update, the alerts service lets an application create a subscription and receive matching events asynchronously.

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