Integrate the RSS API with the Databricks API

Setup the RSS API trigger to run a workflow which integrates with the Databricks API. Pipedream's integration platform allows you to integrate RSS and Databricks remarkably fast. Free for developers.

Popular Ways to Connect RSS with Databricks#

Get Run Output with Databricks API on New Item in Feed from RSS API

RSS + Databricks

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List Runs with Databricks API on New Item in Feed from RSS API

RSS + Databricks

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Run Job Now with Databricks API on New Item in Feed from RSS API

RSS + Databricks

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Get Run Output with Databricks API on New Item From Multiple RSS Feeds from RSS API

RSS + Databricks

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Get Run Output with Databricks API on Random item from multiple RSS feeds from RSS API

RSS + Databricks

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Popular RSS and Databricks Triggers#

New Item in Feed from the RSS API

Emit new items from an RSS feed

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New Item From Multiple RSS Feeds from the RSS API

Emit new items from multiple RSS feeds

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Random item from multiple RSS feeds from the RSS API

Emit a random item from multiple RSS feeds

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Popular RSS and Databricks Actions#

Get Run Output with the Databricks API

Retrieve the output and metadata of a single task run. See the documentation

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Merge RSS Feeds with the RSS API

Retrieve multiple RSS feeds and return a merged array of items sorted by date See documentation

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List Runs with the Databricks API

Lists all runs available to the user. See the documentation

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Run Job Now with the Databricks API

Run a job now and return the id of the triggered run. See the documentation

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Overview of RSS#

The RSS app allows users to automatically fetch and parse updates from web feeds. This functionality is pivotal for staying abreast of content changes or updates from websites, blogs, and news outlets that offer RSS feeds. With Pipedream, you can harness the RSS API to trigger workflows that enable a broad range of automations, like content aggregation, monitoring for specific keywords, notifications, and data synchronization across platforms.

Connect RSS#

module.exports = defineComponent({
  props: {
    rss: {
      type: "app",
      app: "rss",
    }
  },
  async run({steps, $}) {
    // Retrieve items from a sample feed
    const Parser = require('rss-parser');
    const parser = new Parser();
    
    const stories = []
    
    // Replace with your feed URL
    const url = "https://pipedream.com/community/latest.rss"
    
    const feed = await parser.parseURL(url);
    const { title, items } = feed
    this.title = title
    
    if (!items.length) {
      $end("No new stories")
    }
    
    this.items = items
  },
})

Overview of Databricks#

The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.

Connect Databricks#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    databricks: {
      type: "app",
      app: "databricks",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.databricks.$auth.domain}.cloud.databricks.com/api/2.0/clusters/list`,
      headers: {
        Authorization: `Bearer ${this.databricks.$auth.access_token}`,
      },
    })
  },
})