What do you want to automate

with JW Player and Columns Ai?

Prompt, edit and deploy AI agents that connect to JW Player, Columns Ai and 2,500+ other apps in seconds.

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Build Graph From Scratch with Columns Ai API on New Media Available (Instant) from JW Player API
JW Player + Columns Ai
 
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Build Graph From Template with Columns Ai API on New Media Available (Instant) from JW Player API
JW Player + Columns Ai
 
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New Media Available (Instant) from the JW Player API

Emit new event when a new media conversion is completed or a media becomes available.

 
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Create Media with the JW Player API

Creates a new media file in JW Player using fetch or external upload methods. See the documentation

 
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Build Graph From Scratch with the Columns Ai API

Builds a graph object from scratch and publishes it. See the documentation

 
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Build Graph From Template with the Columns Ai API

Builds a graph object from a template and publishes it. See the documentation

 
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Search Media with the JW Player API

Searches for a media or lists all media available in JW Player. See the documentation

 
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Integrate the JW Player API with the Columns Ai API
Setup the JW Player API trigger to run a workflow which integrates with the Columns Ai API. Pipedream's integration platform allows you to integrate JW Player and Columns Ai remarkably fast. Free for developers.

Overview of JW Player

The JW Player API offers a way to manage and deliver video content programmatically. On Pipedream, you can leverage this API to automate video publishing workflows, analyze viewer data, and integrate with other services. Creating, updating, and managing video metadata can be automated, as well as handling video transcoding jobs and analyzing performance with custom metrics. By tapping into Pipedream's serverless platform, you can build powerful automations without managing infrastructure.

Connect JW Player

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    jw_player: {
      type: "app",
      app: "jw_player",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.jwplayer.com/v2/sites/{{your_site_id}}/media/`,
      headers: {
        "Authorization": `${this.jw_player.$auth.api_key}`,
        "accept": `application/json`,
      },
    })
  },
})

Connect Columns Ai

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import { ChartType } from 'columns-graph-model';
import { Columns } from 'columns-sdk';

export default defineComponent({
  props: {
    columns_ai: {
      type: "app",
      app: "columns_ai",
    }
  },
  async run({steps, $}) {    
    const rows = [{
        "value": 312,
        "state": "WA",
        "parent": "US"
      }];// rows is an example data set where you should organize your data in a similar way.

    //Instantiates a Columns SDK object with your API Key.  
    const columns = new Columns(this.columns_ai.$auth.api_key);
    const data = columns.data(['state'], ['value'], rows);
    const graph = columns.graph(data);

    // switch to different chart types: BAR, PIE, DOUGHGUT, LINE, AREA, SCATTER, etc.
    graph.type = ChartType.COLUMN;

    // customise the graph (lots of options in its data model)
    graph.settings.general.palette = ['#ff0000', '#00ff00', '#0000ff'];
    graph.settings.general.background = '#00000002';
    
    return graph;          
  },
})

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo