San Francisco Open Data - DataSF

Search hundreds of datasets from the City and County of San Francisco

Integrate the San Francisco Open Data - DataSF API with the MongoDB API

Setup the San Francisco Open Data - DataSF API trigger to run a workflow which integrates with the MongoDB API. Pipedream's integration platform allows you to integrate San Francisco Open Data - DataSF and MongoDB remarkably fast. Free for developers.

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New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
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New Database from the MongoDB API

Emit new an event when a new database is added

 
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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

 
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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

 
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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

 
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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

 
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Find Document with the MongoDB API

Finds a document by a query filter. See the documentation

 
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Find Document by Id with the MongoDB API

Retrieves a single document by ID. See the docs here

 
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Overview of San Francisco Open Data - DataSF

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.

Connect San Francisco Open Data - DataSF

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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'`,
      },
    })
  },
})

Overview of MongoDB

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.

Connect MongoDB

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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()
  },
})

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