Use Postmaster Tools to analyze your email performance, and help Gmail route your messages to the right place
Emits a new event when traffic stats match certain criteria. See the documentation
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
The Google Postmaster Tools API offers insights into the performance and deliverability of emails sent to Gmail users. It provides data on spam rates, feedback loops, delivery errors, and more, allowing senders to optimize email campaigns and enhance inbox placement. In Pipedream, you can harness this data to automate monitoring, analyze sending patterns, and integrate email performance metrics with other services for comprehensive analysis and action.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_postmaster_tools_api: {
type: "app",
app: "google_postmaster_tools_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_postmaster_tools_api.$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);
},
});