Connect MagicalAPI and amazon redshift to Build Intelligent Automations
Enable Integrations or automations with these events of MagicalAPI and amazon redshift
Enable Integrations or automations with these events of MagicalAPI and amazon redshift
Actions
Get Profile Data
Gets profile data from LinkedIn using the provided username.
Get Company Data
Retrieves company information from MagicalAPI using name, LinkedIn username, or website.
Score resume for job
Generate a single score that shows how well a resume matches a job description.
Review Resume
Submits a resume for review.
Extract resume details
Parses resume document from a public file URL and returns extracted details.
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Frequently Asked Questions
To start, connect both your MagicalAPI and amazon redshift accounts to viaSocket. Once connected, you can set up a workflow where an event in MagicalAPI triggers actions in amazon redshift (or vice versa).
Absolutely. You can customize how MagicalAPI data is recorded in amazon redshift. This includes choosing which data fields go into which fields of amazon redshift, setting up custom formats, and filtering out unwanted information.
The data sync between MagicalAPI and amazon redshift 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 MagicalAPI and amazon redshift. 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 MagicalAPI
MagicalAPI enables seamless integration for developers by providing scalable APIs for resume analysis and structured data extraction from public LinkedIn profiles and company pages.
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About amazon redshift
Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake.
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