Empower Your Outreach with AI-Lead Generation.
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
Fetches detailed LinkedIn profile information based on the provided URL. See the documentation
Fetches the work email of a LinkedIn profile based on the specified URL. See the documentation
Leadzen.ai is an API designed to enhance lead management and marketing automation. It allows users to dynamically score, segment, and nurture leads based on various criteria and interactions. By integrating Leadzen.ai with Pipedream, users can automate complex workflows, sync data across multiple platforms, and trigger actions based on lead behavior in real-time. This integration enables marketers to refine their engagement strategies, personalize communications more effectively, and drive sales conversions more efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
leadzen_ai: {
type: "app",
app: "leadzen_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.leadzen.ai/api/credits`,
headers: {
Authorization: `Bearer ${this.leadzen_ai.$auth.oauth_access_token}`,
"accept": `application/json`,
},
})
},
})
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);
},
});