Connect News API and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for News API
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of News API and TimescaleDB
Enable Integrations or automations with these events of News API and TimescaleDB
Actions
Top headlines Sources
The subset of news publishers that top headlines are available from.
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- Send for Approval acceptCreate Entry of expensesAdd Step
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- has responseSendDMMessageAdd Step
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Frequently Asked Questions
To start, connect both your News API and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in News API triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how News API data is recorded in TimescaleDB. This includes choosing which data fields go into which fields of TimescaleDB, setting up custom formats, and filtering out unwanted information.
The data sync between News API and TimescaleDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between News API and TimescaleDB. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About News API
News API is a powerful tool that provides access to a wide range of news articles and headlines from various sources across the globe. It allows developers to integrate news data into their applications, enabling users to stay updated with the latest news in real-time.
Learn MoreAbout TimescaleDB
TimescaleDB is a powerful time-series database designed for fast ingest and complex queries, making it ideal for handling time-series data efficiently. It extends PostgreSQL, providing scalability and performance enhancements specifically for time-series workloads.
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