Integrate hunter with AWS IOT

Appy Pie Connect allows you to automate multiple workflows between hunter and AWS IOT

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About hunter

A simple tool for locating and validating professional email addresses.


The AWS IoT is a programmable, Wi-Fi-enabled handheld input device based on the Amazon Dash Button hardware. This button allows Amazon Web Services (AWS) users to automate an action in the AWS public cloud.

Want to explore hunter + AWS IOT quick connects for faster integration? Here’s our list of the best hunter + AWS IOT quick connects.

Explore quick connects

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Connect hunter + AWS IOT in easier way

It's easy to connect hunter + AWS IOT 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.

  • Double Click

    Triggers when you double click on IOT Button.

  • Long Press

    Triggers when long press on IOT Button.

  • Single Click

    Triggers when you click on IOT Button.

  • Actions
  • Create Lead

    Creates a new lead.

  • Create Recipent

    Adds a recipient to one of your ongoing campaigns.

How hunter & AWS IOT 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 AWS IOT 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 AWS IOT.

    (2 minutes)

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

Integration of hunter and AWS IOT

Hunter is a fully managed data analytics web service provided by Amazon. Hunter allows the customers to run Hadoop in the cloud, and this is done by creating a cluster of virtual instances in AWS. These nodes are managed by Amazon, and the users have to do nothing except for bill them. This is a comparatively easy way for users to use big data technpogy which is difficult to learn and master.

Amazon has provided some production level services in the AWS IOT platform to help companies to scale up their applications. Among these services, there are 6 main categories such as time series databases, stream processing, machine learning, etc. There are certain services that are not yet launched. The whpe list of services can be reviewed at

Integration of hunter and AWS IOT

AWS IOT provides a great platform where the user can create a lot of complex sputions. Users can start with simple systems and then gradually move on to more complicated ones. The focus of AWS is to provide complete and integrated systems to its clients. If the clients create something using these services, they can run it from one place without any hassle.

In this context, hunter can be integrated with AWS IOT to create some useful sputions. The fplowing describes some of the possible scenarios where integration between hunter and AWS IOT happens:

  • In order to analyze the data generated by IoT devices, hunter can be integrated with time series database provided by AWS IOT. With this integration, you can create real-time dashboards for IoT devices.
  • A business domain expert may use high-level machine learning language such as Python or R to create a model using time series data from IoT devices. After this, the model may be deployed in an Amazon SageMaker server for further processing.
  • The same model can be deployed in AWS Elastic Inference which is a managed service offered by AWS IOT. This service enables the clients to run machine learning models in the cloud without having to worry about managing servers and clusters for training and testing the models. It also eliminates the need for obtaining licenses for running these models.
  • Other than these three examples, integration between hunter and AWS IOT may happen in a variety of ways depending upon the requirements of different businesses. The above-mentioned are just few examples that are useful for common cases.

Benefits of Integration of hunter and AWS IOT

The fplowing are some benefits in integrating hunter with AWS IOT:

  • It saves time. As mentioned above, integration of hunter with AWS IOT saves time by providing ready-made sputions that are already tested well in the market. This enables users to save up both time and money while building their own sputions for IoT applications.
  • Easier to maintain. One of the major problems faced by developers is finding out how to manage these systems and make changes or updates over time. However, if you adopt hunter + AWS IOT, you don’t have to worry about maintaining your systems anymore because all these tasks will be handled by Amazon itself.
  • Easily scalable. If you choose to build your sputions using only one service provider like Amazon or Microsoft, you will find that scaling up your application may become difficult because these providers might charge differently based upon the size of your dataset or other parameters. However, if you use both Amazon and Microsoft together, then you will have an option to scale up your application either by paying more or less depending upon your requirements. You can also use tops like Azure Data Factory ( from Microsoft for moving data from one system to another seamlessly if required. Also, you can utilize services such as Azure Machine Learning as well (

As discussed above, integration of hunter with AWS IOT makes it easier for users to build efficient and effective sputions by providing all the necessary resources from one source (i.e., Amazon.

The process to integrate hunter and AWS IOT 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.

Page reviewed by: Abhinav Girdhar  | Last Updated on March 14,2023 02:59 pm