Connect MagicalAPI and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for MagicalAPI
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of MagicalAPI and TimescaleDB
Enable Integrations or automations with these events of MagicalAPI and TimescaleDB
Actions
Fetch LinkedIn Profile
Fetch LinkedIn profile
Fetch Company Data
Fetch company details
Get Resume Score For Job
Get resume-job match score
Submit Resume
Submit a resume for review
Extract Resume Details
Extract details from a resume
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Frequently Asked Questions
To start, connect both your MagicalAPI and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in MagicalAPI triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how MagicalAPI 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 MagicalAPI 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 MagicalAPI 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 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.
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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