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Create a new document in a collection of your choice. See the docs here
Execute an aggregation pipeline on a MongoDB collection. See the documentation
The Ambivo API provides access to a range of services for web scraping, image processing, and data extraction. On Pipedream, you can leverage these capabilities to automate workflows that require the transformation and analysis of content from various sources. Whether you're looking to extract text from images, scrape web data without getting blocked, or perform content-based image retrieval, Ambivo can be integrated with Pipedream's serverless platform to build robust and scalable automations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ambivo: {
type: "app",
app: "ambivo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://fapi.ambivo.com/crm/contacts/created`,
headers: {
Authorization: `Bearer ${this.ambivo.$auth.access_token}`,
},
})
},
})
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()
},
})