AerisWeather provides a powerful weather API, mapping platform, and developer toolkits that allow weather-sensitive businesses worldwide to operate more efficiently, safely, and profitably.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
AerisWeather API offers a vast array of weather data, from current conditions to forecasts and severe weather alerts. Harnessing this data through Pipedream allows for the creation of personalized, automated workflows that react to weather updates in real-time. Whether it's triggering alerts based on weather changes, integrating with smart home systems, or optimizing business operations based on climatic conditions, AerisWeather's rich data sets open up a world of possibilities for automation on Pipedream.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
aerisweather: {
type: "app",
app: "aerisweather",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://api.aerisapi.com/observations/seattle%2Cwa`,
params: {
client_id: `${this.aerisweather.$auth.app_id}`,
client_secret: `${this.aerisweather.$auth.app_secret}`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});