Amazon SQS + LinkedIn Lead Gen Forms Integrations

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About Amazon SQS

Amazon SQS is a fully managed message queuing service. It offers reliable, highly scalable, reliable messaging and transaction processing that lets you decouple tasks or processes that must communicate.

About LinkedIn Lead Gen Forms

LinkedIn Lead Gen Forms are a simple way to increase your qualified lead generation and your sales pipeline. All of your opportunities are stored within the form so you can use all of LinkedIn's data to further target and qualify leads.

LinkedIn Lead Gen Forms Integrations
Connect Amazon SQS + LinkedIn Lead Gen Forms in easier way

It's easy to connect Amazon SQS + LinkedIn Lead Gen Forms without coding knowledge. Start creating your own business flow.

Since its inception in 2013, Amazon Simple Queue Service (SQS. has become an indispensable tool for many businesses to send and receive messages in real time. SQS allows you to build distributed systems and apps that communicate with each other without worrying about the mechanics of message delivery, which can be a complex task. It provides a simple web service interface which can be leveraged to build a reliable messaging system between any two components of your application, whether they are on the same device or across the globe.A common use case for SQS is to build a real-time notification system between a mobile app and its backend server. In this scenario, the mobile app sends requests to the server when a user performs some action on the app. The server then processes these requests and returns a response back to the app. If the response takes longer than expected, it would be undesirable for the app to block the user interface, so instead it can use SQS to enqueue the request. By doing so, the user will continue using the app while the server processes the request in the background. When the response arrives, SQS can deliver it immediately to the app.The importance of integrating Amazon SQS with other services cannot be overstated. With Amazon ECS you can run Docker containers on AWS infrastructure, and with Amazon SQS you can now easily and reliably deliver messages from your containers at scale.Using LinkedIn Lead Gen Forms as an example, this post will guide you through the process of creating a new integration between Amazon Web Services (AWS. and Linkedin lead gen forms. This integration will allow users to generate leads on Linkedin based on their own custom criteria for those leads.In order to create this integration, we will leverage Amazon Web Service's (AWS. Webhooks feature to integrate with LinkedIn Lead Gen Forms' webhooks API. AWS Webhooks allows us to define a piece of code that will be called back when events occur in AWS. We will create our AWS Lambda code to do the following:Listen for when Amazon SQS receives a message via the EnqueueMessage API callWhen a message is received, call out to LinkedIn Lead Gen Forms via their webhooks API to populate our database with leads from LinkedIn.After completing this guide, you will understand how to use AWS Webhooks with Amazon SQS and LinkedIn Lead Gen Forms to integrate two different services into one application.Finally, here are some things you'll need before getting started:Linkedin Lead Gen Forms account — https://www.linkedin.com/pulse/create-google-forms-connect-linkedin-jennifer-liu/ Amazon Web Services account — https://aws.amazon.com/free/ AWS CLI (Command Line Interface. — https://aws.amazon.com/cli/ Twitter account for verification in Linkedin Lead Gen Forms (optional. Slack account for verification in Linkedin Lead Gen Forms (optional)If you have everything set up and ready to go, let's get started!

We will first need to create an AWS Lambda function that will listen for messages from Amazon SQS and then call out to Linkedin Lead Gen Forms via their webhooks API. The Linkedin Lead Gen Forms' webhooks API is used to trigger API actions based on events that happen on our website. For example, we can set up webhooks such that whenever a new lead is created, the lead data is sent back to our own application for further processing and storage. The webhooks API can also be used to trigger events when someone submits a form on our website, such as a signup form or contact form.Let's start by creating an AWS Lambda function that listens for messages from Amazon SQS and calls out via Linkedin Lead Gen Form's webhooks API whenever a message is received:Login into your AWS Lambda console by visiting https://console.aws.amazon.com/lambda/home?region=us-east-1#/functions Click "Create function" Select "Author from scratch" Choose "Python 3.6" as your runtime Create a new role called sqslambda Click next until you arrive at step 4. Select blueprint from a curated list Enter "sqslambda" as our blueprint name Click "Choose" in the pop up menu Click "Next" On Step 5. Configure trigger, select "SQS" as your source Enter "sqslambda-receives-sqs" as your function name Click "Create trigger" On Step 6. Review, click "Create Function" A new page should appear after creating a new Lambda function Now we need to configure our Lambda function so that it is configured to listen for messages from Amazon SQS. First click on "Configuration" tab Under "Basic Settings", make sure that "Code entry type" is set to "Upload a .ZIP file" Under "Function handler", add "index.handler" as your function handler Under "Role", click "Add role", choose the role called sqslambda Now that our lambda function is configured correctly, we need to fill out our code so that it will connect to Linkedin Lead Gen Forms via their webhooks API. First we need to import all of our dependencies. import boto3 import json import os import requests import time Then we need to initialize our global variables. # Boto3 credentials S3 = '<YOUR_BOTO_CONFIG_KEY>' access_key = '<YOUR_ACCESS_KEY>' secret_key = '<YOUR_SECRET_KEY>' region = 'us-east-1' # LinkedIn credentials consumer_key = '<YOURLINKEDINCONSUMERKEY>' consumer_secret = '<YOURLINKEDINCONSUMERSECRET>' jgf_base_url = 'https://www/#' def lambda_handler(event, context. "" Our lambda function "" print('Received event'. global S3 global access_key global secret_key global region global consumer_key global consumer_secret jgf_base_url = 'https://www/#' We specify LinkedIn's webhook base URL as part of our global variables Next we need to specify our error handling functions. # Status codes for errors def error404(error. print('Error 404:', error. def error500(error. print('Error 500:', error. Then we need to specify our process for receiving message via Amazon SQS. def receiveMessage(sqs. "" Receives message from sqs "" print('Receive message from sqs'. global access_key global secret_key global region global consumer_key global consumer_secret try. payload = sqs['Messages'][0]['Body'] print('Receive payload:', payload. except KeyError as e. error400(. return try. conn = boto3.resource('sqs'.Queue(queue_name=os.environ['QUEUE_NAME'], attributes={}. print('Connected to queue'. body = conn.get_message(ExchangeName=os.environ['EXCHANGE_NAME'], MaxSize=102400, WaitTimeSeconds=300. print('Receive body:', body. except ConnectionError as e. error400(. return try. msg = json.loads(body['Body']. print('Receive message:' + str(msg. except ValueError as e. error400(. return try. data = { "clientId". os.environ['CLIENTID'], "clientSecret". os.environ['CLIENTSECRET'], "grantType". "client_credentials", "scope". ['user'] } auth_data = { 'Authorization'. 'Bearer ' + access_key } print('Using Linkedin authorization'. headers = { 'Content-Type'. 'application/x-www-form-urlencoded', 'Accept'. 'application/json', } r = requests.post( url=jgf_base_url+'/oauth2/accessToken', data=json.dumps(data), headers=headers . print('Send Linkedin authorization request'. resp = r.json(. token = resp['accessToken'] print('Linkedin access token:', token. access_token = token print('Linkedin access token key:'+access_token['oauthTokenKey']. Now that we have specified all of our error handling and our process for receiving messages from Amazon SQS, we now need to specify our process for sending messages via LinkedIn Lead

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