Pull rich data about people and companies.
Find Social Media Profiles from Email. Cost: 3 credit/successful request See the documentation.
Create a new document in a collection of your choice. See the docs here
Lookup work email address of a LinkedIn Person Profile. If you provided a webhook in your request parameter, our application will call your webhook with the result once. Cost: 3 credit/successful request See the documentation.
Retrieve Company Metadata from LinkedIn URL. Cost: 1 credit/successful request See the documentation.
The Proxycurl API is a tool for scraping LinkedIn data, enabling users to extract professional information from LinkedIn profiles and company pages. When integrated with Pipedream's serverless platform, Proxycurl can automate the collection of LinkedIn data, which can be used for lead generation, market research, or recruitment. Pipedream's capabilities allow users to create workflows that respond to various triggers, process the data with Proxycurl, and then output it to desired destinations or further manipulate it with other apps and services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
proxycurl: {
type: "app",
app: "proxycurl",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://nubela.co/proxycurl/api/credit-balance`,
headers: {
Authorization: `Bearer ${this.proxycurl.$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()
},
})