RSS

Real Simple Syndication

Integrate the RSS API with the Metatext.AI Pre-build AI models API API

Setup the RSS API trigger to run a workflow which integrates with the Metatext.AI Pre-build AI models API API. Pipedream's integration platform allows you to integrate RSS and Metatext.AI Pre-build AI models API remarkably fast. Free for developers.

Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Item in Feed from RSS API
RSS + Metatext.AI Pre-build AI models API
 
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Extract Keywords with Metatext.AI Pre-build AI models API API on New Item in Feed from RSS API
RSS + Metatext.AI Pre-build AI models API
 
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Generate Blog Post with Metatext.AI Pre-build AI models API API on New Item in Feed from RSS API
RSS + Metatext.AI Pre-build AI models API
 
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Generate Headline with Metatext.AI Pre-build AI models API API on New Item in Feed from RSS API
RSS + Metatext.AI Pre-build AI models API
 
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Generate Text with Metatext.AI Pre-build AI models API API on New Item in Feed from RSS API
RSS + Metatext.AI Pre-build AI models API
 
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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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Analyze Sentiment with the Metatext.AI Pre-build AI models API API

Determine the sentiment of the given text (positive, negative, or neutral). 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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Extract Keywords with the Metatext.AI Pre-build AI models API API

Identify and extract significant keywords from the given text. See the documentation.

 
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Generate Blog Post with the Metatext.AI Pre-build AI models API API

Generate a blog post based on the given prompt. See the documentation.

 
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Generate Headline with the Metatext.AI Pre-build AI models API API

Generate a short summary for news headlines. 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

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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 Metatext.AI Pre-build AI models API

The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.

Connect Metatext.AI Pre-build AI models API

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    metatext_ai_pre_build_ai_models_api: {
      type: "app",
      app: "metatext_ai_pre_build_ai_models_api",
    }
  },
  async run({steps, $}) {
    const data = {
      "text": `{your_text}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
      headers: {
        "Content-Type": `application/json`,
        "x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
      },
      data,
    })
  },
})