Search hundreds of datasets from the City and County of San Francisco
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 San Francisco Open Data - DataSF API unlocks a wealth of government data spanning multiple domains such as transportation, housing, and public health. It provides developers with access to rich datasets, which can be integrated into applications to derive insights, inform decision-making, and power data-driven solutions. Pipedream's serverless platform amplifies this potential by enabling users to create automated workflows that leverage this data in concert with other apps and services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
san_francisco_open_data_datasf: {
type: "app",
app: "san_francisco_open_data_datasf",
}
},
async run({steps, $}) {
// Below, we fetch a range of COVID-19 case data from DataSF. You can
// run this to see how the results are displayed on Pipedream, or modify it
// in any way to fetch data from another dataset or modify the Socrata
// query. See the docs below for Socrata docs and examples.
// COVID-19 Cases Summarized by Date, Transmission and Case Disposition
// https://dev.socrata.com/foundry/data.sfgov.org/tvq9-ec9w
return await axios($, {
url: `https://data.sfgov.org/resource/tvq9-ec9w.json`,
headers: {
"X-App-Token": `${this.san_francisco_open_data_datasf.$auth.app_token}`,
},
params: {
"$where": `date between '2020-05-18T00:00:00' and '2020-05-20T00:00:00'`,
},
})
},
})
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()
},
})