Classify Text with MonkeyLearn API on New Follower Received by User from X (Twitter) API

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New Follower Received by User from the X (Twitter) API

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Classify Text with the MonkeyLearn API

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Getting Started#

This integration creates a workflow with a X (Twitter) trigger and MonkeyLearn action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Follower Received by User trigger
1. Connect your X (Twitter) account
2. Configure timer
3. Optional- Configure User Name or ID
Configure the Classify Text action
1. Connect your MonkeyLearn account
2. Select a Classifier Id
3. Configure Data
4. Optional- Configure Production Model
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger#

New Follower Received by User on X (Twitter)

Description:Emit new event when the specified User receives a Follower [See the documentation](https://developer.twitter.com/en/docs/twitter-api/users/follows/api-reference/get-users-id-followers)

Version:2.1.0

Key:twitter-new-follower-of-user

View on GitHub

X (Twitter) Overview#

The Twitter API on Pipedream enables you to automate interactions with Twitter, from posting tweets to analyzing social media trends. Pipedream's serverless platform provides the tools to create workflows that trigger on specific Twitter activities, process data, and connect with countless other apps for extensive automation scenarios. With Pipedream's integration, you can listen for events such as new tweets, mentions, or followers, and execute actions like tweeting, retweeting, or even leveraging sentiment analysis to gauge public perception.

Trigger Code#

import { defineSource } from "@pipedream/types";
import common from "../common/base.mjs";
import { getUserSummary as getItemSummary } from "../common/getItemSummary.mjs";
import { getUserFields } from "../../common/methods.mjs";
import { DOCS_LINK, MAX_RESULTS_PER_PAGE, } from "../../actions/list-followers/list-followers.mjs";
import cacheUserId from "../common/cacheUserId.mjs";
import { getObjIncludes, getUserIncludeIds, } from "../../common/addObjIncludes.mjs";
export default defineSource({
    ...common,
    key: "twitter-new-follower-of-user",
    name: "New Follower Received by User",
    description: `Emit new event when the specified User receives a Follower [See the documentation](${DOCS_LINK})`,
    version: "2.1.0",
    type: "source",
    props: {
        ...common.props,
        userNameOrId: {
            propDefinition: [
                common.props.app,
                "userNameOrId",
            ],
        },
    },
    methods: {
        ...common.methods,
        ...cacheUserId,
        getUserFields,
        getItemSummary,
        getEntityName() {
            return "Follower";
        },
        async getResources(maxResults) {
            const userId = await this.getCachedUserId();
            const params = {
                $: this,
                maxPerPage: MAX_RESULTS_PER_PAGE,
                maxResults: maxResults ?? MAX_RESULTS_PER_PAGE,
                params: this.getUserFields(),
                userId,
            };
            const { data, includes, } = await this.app.getUserFollowers(params);
            data.forEach((user) => user.includes = getObjIncludes(user, includes, getUserIncludeIds));
            return data;
        },
    },
});

Trigger 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
X (Twitter)	`app`	`app`	This component uses the X (Twitter) app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
User Name or ID	`userNameOrId`	`string`	A Twitter username (handle) prefixed with `@` (e.g. `@pipedream`). You can also use the string `me` to use the authenticated user (default), or a numeric User ID.

Trigger Authentication#

X (Twitter) uses OAuth authentication. When you connect your X (Twitter) account, Pipedream will open a popup window where you can sign into X (Twitter) and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any X (Twitter) API.

Pipedream requests the following authorization scopes when you connect your account:

About X (Twitter)#

Formerly known as Twitter. From breaking news and entertainment to sports and politics, get the full story with all the live commentary. Use a X developer app you've created to send API requests.

Action#

Classify Text on MonkeyLearn

Description:Classifies texts with a given classifier. [See the docs here](https://monkeylearn.com/api/v3/#classify)

Version:0.0.1

Key:monkeylearn-classify-text

View on GitHub

MonkeyLearn Overview#

MonkeyLearn is a text analysis platform that employs machine learning to extract and process data from chunks of text. By leveraging the MonkeyLearn API on Pipedream, you can automate the categorization of text, extract specific data, analyze sentiment, and more, all in real-time. This enables the development of powerful custom workflows that can analyze customer feedback, automate email processing, or provide insightful analytics on textual data from various sources.

Action Code#

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

export default {
  key: "monkeylearn-classify-text",
  name: "Classify Text",
  description: "Classifies texts with a given classifier. [See the docs here](https://monkeylearn.com/api/v3/#classify)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    classifierId: {
      propDefinition: [
        app,
        "classifierId",
      ],
    },
    data: {
      propDefinition: [
        app,
        "data",
      ],
    },
    productionModel: {
      propDefinition: [
        app,
        "productionModel",
      ],
    },
  },
  async run({ $ }) {
    const {
      classifierId,
      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.classifyText($, classifierId, data, productionModel);
    $.export("$summary", "Successfully classified all elements");
    return response;
  },
};

Action Configuration#

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

Label	Prop	Type	Description
MonkeyLearn	`app`	`app`	This component uses the MonkeyLearn app.
Classifier Id	`classifierId`	`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.

Classify Text with MonkeyLearn API on New Follower Received by User from X (Twitter) API

Pipedream makes it easy to connect APIs for MonkeyLearn, X (Twitter) and 2,000+ other apps remarkably fast.

Trusted by 800,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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