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

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

Popular San Francisco Open Data - DataSF and MySQL Triggers#

New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

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Popular San Francisco Open Data - DataSF and MySQL Actions#

Create Row with the MySQL API

Adds a new row. See the docs here

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Delete Row with the MySQL API

Delete an existing row. See the docs here

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Execute Query with the MySQL API

Find row(s) via a custom query. See the docs here

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Execute Raw Query with the MySQL API

Find row(s) via a custom raw query. See the documentation

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Execute Stored Procedure with the MySQL API

Execute Stored Procedure. 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#

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 MySQL#

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL#

import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});