
When this happens...

Automatically do this!
Enable Integrations or automations with these events of Datafiniti and Microsoft Azure Functions
Search businesses by name and retrieve business data (JSON or CSV). Optionally download results and limit the number of records.
Extract structured product and page details (images, categories, identifiers) from a webpage URL.

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To start, connect both your Datafiniti and Microsoft Azure Functions accounts to viaSocket. Once connected, you can set up a workflow where an event in Datafiniti triggers actions in Microsoft Azure Functions (or vice versa).
Absolutely. You can customize how Datafiniti data is recorded in Microsoft Azure Functions. This includes choosing which data fields go into which fields of Microsoft Azure Functions, setting up custom formats, and filtering out unwanted information.
The data sync between Datafiniti and Microsoft Azure Functions 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 Datafiniti and Microsoft Azure Functions. 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.
Datafiniti is a comprehensive data platform that provides access to a wide range of web data, enabling businesses to gather insights and make informed decisions. With its robust data collection and processing capabilities, Datafiniti helps users streamline their data acquisition processes.
Learn MoreMicrosoft Azure Functions is a serverless computing service that enables developers to run event-driven code without having to explicitly provision or manage infrastructure. It allows for the execution of code in response to various triggers, such as HTTP requests, database changes, or message queue events, making it ideal for building scalable and efficient applications.
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