Personalize cold emails, automate follow-ups, and engage with leads across all channels
This action adds a lead in the unsubscribed list. See the docs here
Create a new document in a collection of your choice. See the docs here
This action adds a lead in a specific campaign. If the lead doesn't exist, it'll be created, then inserted to the campaign. The creator of the lead is the campaign's sender See the docs here
This action deletes a lead in the unsubscribed list. See the docs here
The lemlist API allows for the automation of personalized email outreach campaigns. With it, users can manage campaigns, leads, and handle email interactions programmatically. When utilized within Pipedream, this API enables the creation of seamless workflows that can bridge the gap between lead generation, email marketing, and follow-up processes, leading to more efficient engagement strategies.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
lemlist: {
type: "app",
app: "lemlist",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.lemlist.com/api/team`,
auth: {
username: ``,
password: `${this.lemlist.$auth.api_key}`,
},
})
},
})
The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.
import mongodb from 'mongodb'
export default defineComponent({
props: {
mongodb: {
type: "app",
app: "mongodb",
},
collection: {
type: "string"
},
filter: {
type: "object"
}
},
async run({steps, $}) {
const MongoClient = mongodb.MongoClient
const {
database,
hostname,
username,
password,
} = this.mongodb.$auth
const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
const client = await MongoClient.connect(url, {
useNewUrlParser: true,
useUnifiedTopology: true
})
const db = client.db(database)
const results = await db.collection(this.collection).find(this.filter).toArray();
$.export('results', results);
await client.close()
},
})