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 PostgreSQL API

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

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New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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New Table from the PostgreSQL API

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

 
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Execute SQL Query with the PostgreSQL API

Execute a custom PostgreSQL query. See our docs to learn more about working with SQL in Pipedream.

 
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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See the documentation

 
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Find Row With Custom Query with the PostgreSQL API

Finds a row in a table via a custom query. See the documentation

 
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Insert Row with the PostgreSQL API

Adds a new row. See the documentation

 
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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 PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

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

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

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Adyen logo
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