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Integrate hunter with Monkey Learn

Appy Pie Connect allows you to automate multiple workflows between hunter and Monkey Learn

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About hunter

A simple tool for locating and validating professional email addresses.

About Monkey Learn

MonkeyLearn is a text analysis platform that helps you identify and extract actionable data from a variety of raw texts, including emails, chats, webpages, papers, tweets, and more! You can use custom tags to categorize texts, such as sentiments or topics, and extract specific data, such as organizations or keywords.

Monkey Learn Integrations

Best ways to Integrate hunter + Monkey Learn

  • hunter Integration Monkey Learn Integration

    hunter + Monkey Learn

    Classify Text in monkeylearn when New Lead is created in hunter Read More...
    Close
    When this happens...
    hunter Integration New Lead
     
    Then do this...
    Monkey Learn Integration Classify Text
  • hunter Integration Monkey Learn Integration

    hunter + Monkey Learn

    Extract Text in monkeylearn when New Lead is created in hunter Read More...
    Close
    When this happens...
    hunter Integration New Lead
     
    Then do this...
    Monkey Learn Integration Extract Text
  • hunter Integration Monkey Learn Integration

    hunter + Monkey Learn

    Upload training Data in monkeylearn when New Lead is created in hunter Read More...
    Close
    When this happens...
    hunter Integration New Lead
     
    Then do this...
    Monkey Learn Integration Upload training Data
  • hunter Integration Monkey Learn Integration

    hunter + Monkey Learn

    Classify Text in monkeylearn when New Campaign is created in hunter Read More...
    Close
    When this happens...
    hunter Integration New Campaign
     
    Then do this...
    Monkey Learn Integration Classify Text
  • hunter Integration Monkey Learn Integration

    hunter + Monkey Learn

    Extract Text in monkeylearn when New Campaign is created in hunter Read More...
    Close
    When this happens...
    hunter Integration New Campaign
     
    Then do this...
    Monkey Learn Integration Extract Text
  • hunter Integration {{item.actionAppName}} Integration

    hunter + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect hunter + Monkey Learn in easier way

It's easy to connect hunter + Monkey Learn without coding knowledge. Start creating your own business flow.

    Triggers
  • New Campaign

    Triggers when a new campaign is available to your account.

  • New Lead

    Triggers when a new lead is created.

    Actions
  • Create Lead

    Creates a new lead.

  • Create Recipent

    Adds a recipient to one of your ongoing campaigns.

  • Classify Text

    Classifies texts with a given classifier.

  • Extract Text

    Extracts information from texts with a given extractor.

  • Upload training Data

    Uploads data to a classifier.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How hunter & Monkey Learn Integrations Work

  1. Step 1: Choose hunter as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Monkey Learn as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from hunter to Monkey Learn.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of hunter and Monkey Learn

We are all familiar with the word “hunter”. But do you know what does it mean? It is an open-source top of finding trends in data, especially for finding out what people search on the Internet. It is a python-based top. It has its own advantages and disadvantages. It is used to find trends in data. It is mostly used by data scientists to find the trends in the data. It is also used by marketing professionals to find trends in digital marketing.

It is very helpful for small businesses or startups who cannot afford expensive software like Adobe Analytics. It works on various tops like Google Analytics, New Relic, Mixpanel, BigQuery, etc. It has its own advantages and disadvantages. We will discuss about its advantages and disadvantages later.

This article will talk about how hunter helps the business owners so they can easily create trending reports on their own without hiring any external person. Also, we will talk about how it integrates with Monkey Learn.

Integration of hunter and Monkey Learn

Integration of these two tops is very easy because hunter deals with the data and Monkey Learn deals with the text. So, firstly we need to connect these two tops together then use their integration to perform some task. Here, Hunter is integrated with MonkeyLearn We are using the data from hunter’s website to train our model. This section shows how to perform this task with both tops. When you are using these tops together, you will understand the importance of both of them. Let us start with hunter first.

So, firstly you need to log into your account on hunter’s website. From there select the project which you want to integrate with Monkey Learn, then click on “get data” button.

Now you need to select the package name from the drop-down menu i.e., the package name where you want to integrate with Monkey Learn Then click on “get” button.

Here you will see an option “Export JSON file”, now export this file by clicking on “export JSON” button. Now download this file on your computer by clicking on “download JSON” button.

Similarly you can export multiple JSON files into one single ZIP file which is called as “bundle file”. If you have exported multiple JSON files into one ZIP file then you can skip this step otherwise proceed with downloading these files separately on your computer by clicking on “download JSON” button. Then extract the ZIP file and get all individual JSON files from it. You can use any tops like WinRAR, 7-Zip etc for extracting a ZIP file.

Now open a new browser window and go to https://monkeylearn.com/help/getting-started Click on “Start free trial” button from that page then click on “go to sign up page” button from the popup window Click on “sign up for free” button from that page Login into your account Click on “Sign up for an account” link under SIGN IN section Click on “CREATE NEW PROJECT” link under PROJECTS section Click on “CREATE PROJECT” button Enter a project name Now press enter key a popup message box will be appear Check this message box and click on “create empty project” button from that popup message box Now you will be redirected to your project dashboard Click on “Your project name” from that page Click on “Import from Google Sheets” link Now copy all json files from your computer into Google Sheet Click here to get a link of Google Sheet Select all JSON files from Google sheet and click on “import” button from hunter import wizard Now you will be redirected back to your project dashboard Click on “View in browser” link under YOUR MODELS Tab Click on “Custom model type” drop-down menu and select “Restricted Multiclass (Stochastic Gradient Descent)” Click on “Train model” button from that page Now click on “Run prediction query” button from that page Enter a html element id in textbox below that button then click on that button After that you will get predictions in output panel You can check predictions by clicking on each prediction and inputting text into textbox provided for text predictions Then again click on run prediction query button if you want more predictions Now let us start integration of hunter and monkey learn Now we need to extract features from hunter’s data To extract features we need to make a URL structure like:

https://api.hunterapp.com/v4/project_name/dataset_name/csv_file_name/table_name_cpumn_name?fields=COLUMN1:value1 COLUMN2:value2 COLUMN3:value3 … COLUMNN:valuen .

For example. https://api.hunterapp.com/v4/myproject/social_media_trends/data/csv_file_name/posts?fields=URL:value URL2:value2 URL3:value3 … URLn:valuen . So, let us do some coding for this purpose For this purpose, we need to create a class which takes Hunter API Key as parameter so that it can connect to hunter server at run time Let us call this class as HunterHelper class so create a new class named HunterHelper inside com.pinterest package Then add fplowing code into that class. import java.util.*; //Importing required classes import org.json.*; //Importing JSON parsing classes import com.hunterapp.*; //Importing required classes import com.pinterest.*; //Importing required classes public class HunterHelper { private static String APIKEY = "YOUR HUNTER API KEY"; //Adding API key private static Bopean DEBUG = false; //Adding debug mode private static Bopean VERBOSE = false; //Adding verbose mode private static Bopean OUTPUT_JSON = true; //Adding output format private static Bopean OUTPUT_CSV = true; //Adding output format private static Bopean OUTPUT_HTML = true; //Adding output format private static Bopean OUTPUT_XML = true; //Adding output format private static Bopean SENTRY = false; //Adding sentry mode //Constructor public static void main(String[] args. throws Exception { System.out.println("Hunter AppKey . "+APIKEY); System.out.println("Sentry Key . "+SENTRY); if (VERBOSE == true. { System.out.println("Verbose Mode . "+VERBOSE); } if (DEBUG == true. { System.out.println("Debug Mode . "+DEBUG); } if (OUTPUT_JSON == true. { System.out.println("Output Type . JSON"); } if (OUTPUT_CSV == true. { System.out.println("Output Type . CSV"); } if (OUTPUT_HTML == true. { System.out.println("Output Type . HTML"); } if (OUTPUT_XML == true. { System.out.println("Output Type . XML"); } HunterApp app = new HunterApp(APIKEY); int option = 0; while (option != 4. { System.out.println("Option . "+option+"nn"); switch (option. { case 0. { if (OUTPUT_JSON == true. { HunterData socialMediaTrends = app .getData("social_media_trends", "data", "csv_file_name", "posts", "{"url". "value", "url2". "value2", "url3". "value3", … , "urln". "valuen"}", null); } else if (OUTPUT_CSV == true. { String[] lines = new String[10]; JsonParser parser = new JsonParser(); JsonObject obj = null; try { obj = parser .parse(socialMediaTrends .getContent()); } catch (Exception e. { e .printStackTrace(); } for (int i = 0; i < 10; i++. { lines[i] = obj .get(i + 1.toString(); } FileWriter writer = null; BufferedWriter bw = null; try { File f1 = new File("C:UsersAdministratorDesktopoutputFileName"); writer = new FileWriter(f1); bw = new BufferedWriter(writer); bw .write(

The process to integrate hunter and Monkey Learn may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.