Connect people, locations, and data using interactive maps. Work with smart, data-driven styles and intuitive analysis tools. Share your insights with the world or specific groups.
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
The ArcGIS Online API lets you work with ESRI's platform for mapping and spatial analysis. In Pipedream, harness this API to craft workflows combining GIS data management, location-based analytics, and automated mapping tasks. Pipedream's serverless architecture means you can trigger these workflows via HTTP requests, schedule them, or even fire them in response to emails or form submissions.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
arcgis_online: {
type: "app",
app: "arcgis_online",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://basemapstyles-api.arcgis.com/arcgis/rest/services/styles/v2/styles/arcgis/outdoor`,
headers: {
Authorization: `Bearer ${this.arcgis_online.$auth.oauth_access_token}`,
},
})
},
})
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);
},
});