Integrate the RSS API with the BigML API

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

Popular Ways to Connect RSS with BigML#

Create Batch Prediction with BigML API on New Item in Feed from RSS API

RSS + BigML

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Create Model with BigML API on New Item in Feed from RSS API

RSS + BigML

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Create Source (Remote URL) with BigML API on New Item in Feed from RSS API

RSS + BigML

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Create Batch Prediction with BigML API on New Item From Multiple RSS Feeds from RSS API

RSS + BigML

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Create Batch Prediction with BigML API on Random item from multiple RSS feeds from RSS API

RSS + BigML

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Popular RSS and BigML 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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New Model Created from the BigML API

Emit new event for every created model. See docs here.

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New Prediction Made from the BigML API

Emit new event for every made prediction. See docs here.

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Popular RSS and BigML Actions#

Create Batch Prediction with the BigML API

Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.

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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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Create Model with the BigML API

Create a model based on a given source ID, dataset ID, or model ID. See the docs.

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Create Source (Remote URL) with the BigML API

Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.

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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 BigML#

The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.

Connect BigML#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bigml: {
      type: "app",
      app: "bigml",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://bigml.io/andromeda/source`,
      params: {
        username: `${this.bigml.$auth.username}`,
        api_key: `${this.bigml.$auth.api_key}`,
      },
    })
  },
})