Aeroleads find emails and phone numbers of business people and businesses from LinkedIn, Google, Yahoo and other sources.
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
AeroLeads API offers a robust solution for automating lead generation and prospecting activities. By leveraging this API on Pipedream, you can streamline the process of finding potential contacts, enriching their data, and syncing with your CRM or marketing tools. To maximize efficiency, you can set up workflows that react to specific triggers, process the data, and perform actions such as creating leads, updating contact lists, and sending personalized outreach emails.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
aeroleads: {
type: "app",
app: "aeroleads",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://aeroleads.com/apis/details`,
params: {
api_key: `${this.aeroleads.$auth.api_key}`,
first_name: `pushkar`,
last_name: `gaikwad`,
company_url: `inboundio.com`,
},
})
},
})
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);
},
});