Find what you need by getting the latest information on businesses, including grocery stores, pharmacies and other important places with Google Maps.
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 Google Maps (Places API) offers detailed information about physical locations, including places of interest, reviews, and other metadata. In Pipedream, you can leverage this API to create dynamic workflows that respond to location data. Whether you're building apps that track asset locations, automate location-based alerts, or provide users with local info, integrating with Google Maps can add a powerful spatial context to your services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_maps_platform: {
type: "app",
app: "google_maps_platform",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://maps.googleapis.com/maps/api/place/findplacefromtext/json`,
params: {
key: `${this.google_maps_platform.$auth.api_key}`,
input: `Museum of Contemporary Art Australia`,
inputtype: `textquery`,
},
})
},
})
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()
},
})