← MonkeyLearn

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.

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

Integrations

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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

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.
LabelPropTypeDescription
MonkeyLearnappappThis component uses the MonkeyLearn app.
Extractor IdextractorIdstringSelect a value from the drop down menu.
Datadatastring[]

A list of up to 500 data elements. Each element must be a string with the text.

Production ModelproductionModelboolean

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.

Authentication

MonkeyLearn uses API keys for authentication. When you connect your MonkeyLearn account, Pipedream securely stores the keys so you can easily authenticate to MonkeyLearn APIs in both code and no-code steps.

MonkeyLearn requires that you authenticate by sending an API Key with each request to grant you access to the API. See docs.

About MonkeyLearn

Text Analysis

More Ways to Use MonkeyLearn

Actions

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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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