Connect PayHere and Weatherbit to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for PayHere
Choose an Action
Automatically do this!
- Request a new Action for Weatherbit
Enable Integrations or automations with these events of PayHere and Weatherbit
Enable Integrations or automations with these events of PayHere and Weatherbit
Actions
Create a Plan
Creates a new payment plan
Update Current Company
Update the company information for currently authenticated user.
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Frequently Asked Questions
To start, connect both your PayHere and Weatherbit accounts to viaSocket. Once connected, you can set up a workflow where an event in PayHere triggers actions in Weatherbit (or vice versa).
Absolutely. You can customize how PayHere data is recorded in Weatherbit. This includes choosing which data fields go into which fields of Weatherbit, setting up custom formats, and filtering out unwanted information.
The data sync between PayHere and Weatherbit 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 PayHere and Weatherbit. 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 PayHere
PayHere is a comprehensive online payment gateway service that facilitates seamless and secure transactions for businesses and individuals in Sri Lanka. It supports multiple payment methods, including credit cards, mobile payments, and bank transfers, making it easier for users to manage their financial transactions online.
Learn MoreAbout Weatherbit
Weatherbit provides accurate and reliable weather data and forecasts, offering a comprehensive suite of weather APIs for developers and businesses. It delivers real-time weather information, historical data, and advanced forecasting models to help users make informed decisions based on weather conditions.
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