Extract Text with MonkeyLearn API

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Extract Text with the MonkeyLearn API

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Getting Started#

Create a workflow to Extract Text with the MonkeyLearn API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Extract Text action
1. Connect your MonkeyLearn account
2. Select a Extractor Id
3. Configure Data
4. Optional- Configure Production Model
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Extract Text with MonkeyLearn API on New Requests (Payload Only) from HTTP / Webhook API

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Zoom + MonkeyLearn

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Extract Text with MonkeyLearn API on New Submission (Instant) from Jotform API

Jotform + MonkeyLearn

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Extract Text with MonkeyLearn API on New Custom Webhook Events from Stripe API

Stripe + MonkeyLearn

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Details#

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Extract Text on MonkeyLearn

Description:Extracts information from texts with a given extractor. [See the docs here](https://monkeylearn.com/api/v3/#extract)

Version:0.0.1

Key:monkeylearn-extract-text

View on GitHub

Code#

import app from "../../monkeylearn.app.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "monkeylearn-extract-text",
  name: "Extract Text",
  description: "Extracts information from texts with a given extractor. [See the docs here](https://monkeylearn.com/api/v3/#extract)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    extractorId: {
      propDefinition: [
        app,
        "extractorId",
      ],
    },
    data: {
      propDefinition: [
        app,
        "data",
      ],
    },
    productionModel: {
      propDefinition: [
        app,
        "productionModel",
      ],
    },
  },
  async run({ $ }) {
    const {
      extractorId,
      data,
      productionModel,
    } = this;
    if (!data || !Array.isArray(data) || data.length === 0) {
      throw new ConfigurationError("Data array is required and must have at least one string to be classified.");
    }
    const response = await this.app.extractText($, extractorId, data, productionModel);
    $.export("$summary", "Successfully extracted from all elements");
    return response;
  },
};

Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
MonkeyLearn	`app`	`app`	This component uses the MonkeyLearn app.
Extractor Id	`extractorId`	`string`	Select a value from the drop down menu.
Data	`data`	`string[]`	A list of up to 500 data elements. Each element must be a string with the text.
Production Model	`productionModel`	`boolean`	Indicates if the extractions are performed by the production model. Only use this parameter on custom models. Note that you first need to deploy your model to production.

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Upload Training Data with the MonkeyLearn API

Uploads data to a classifier. This component can be used to upload new data to a classifier, to update the tags of texts that have already been uploaded, or both. See the docs here

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