TextRazor

The Natural Language Processing API

Integrate the TextRazor API with the Schedule API

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

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

 
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Daily schedule from the Schedule API

Trigger your workflow every day.

 
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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

 
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Weekly schedule from the Schedule API

Trigger your workflow on one or more days each week at a specific time (with timezone support).

 
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Overview of TextRazor

The TextRazor API offers advanced natural language processing capabilities that let you analyze text, extracting entities, concepts, and categorizing content with ease. Utilizing machine learning and AI, TextRazor can break down your content into actionable data, identifying the sentiment, relationship, and structure of the text provided. It's a gold mine for developers looking to automate content analysis, enrich search capabilities, or implement AI-driven content recommendations.

Connect TextRazor

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    textrazor: {
      type: "app",
      app: "textrazor",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.textrazor.com/account/`,
      headers: {
        "X-TextRazor-Key": `${this.textrazor.$auth.api_key}`,
      },
    })
  },
})

Overview of Schedule

The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.