Creating a Chatbot using Amazon Lex Service: Day 4 (Facebook Messenger Integration)

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In the last three articles of this series we tried to create a chatbot using Amazon Lex services, we used AWS lambda functions and Slots to make our chatbot more interactive and richer. The concepts are introduced so that these services could be further leveraged to make a custom bot aligning to business needs. This is the last article of this series where we’ll see how to integrate the bot with Facebook Messenger and make it live with the Messenger.

Series Info

Following is the four-tutorial series to learn how to develop a chatbot using Amazon Lex service and deploy the same on Facebook Messenger.

  1. Creating a Chatbot using Amazon Lex Service: Day 1 (Initial Bot)
  2. Creating a Chatbot using Amazon Lex Service: Day 2 (AWS Lambda Functions)
  3. Creating a Chatbot using Amazon Lex Service: Day 3 (Slots in AWS Lex)
  4. Creating a Chatbot using Amazon Lex Service: Day 4 (Facebook Messenger Integration)

Deploy the Chatbot in Facebook Messenger

Our initial basic bot is completed, you can enhance it more as per your will and requirement. In this section, we’ll see how to deploy the bot on Facebook messenger as a chatbot to your custom Facebook page.

So, the need here would be that suppose you have a Facebook page for your business or company and you need to deploy a feature of auto chatbot in that page so that any user can seek information or talk to that bot.

First things first, for deployment of the bot to the Facebook page, we need to have a Facebook page.

  1. Open the URL and sign in with your existing Facebook credentials or create a new account
  1. I am signing in with my existing Facebook account. It will ask to create a Facebook developers account, and yes, we need to, so click Next.
  1. Provide the App Name (whatever you want) and contact email and click Next.
  1. Pass the security check and click Submit.
  1. It will show the welcome message and ask to add your first product. Click on “Add Your First Product” button.
  1. The next screen you’ll see is the Facebook developer’s dashboard. Since we need to set up the Facebook Messenger, click on the button to setup messenger as shown below.
  1. You need to have an access token and a secret key for that. So, navigate to Settings and scroll down to the section that says Token Generation. Select an existing page if you have or create a new one as per your wish.
  1. Select the type of page you want to create i.e. Community or Business.
  1. Provide the page name and the category.
  1. You can skip the steps like providing profile pic or choose to apply one.
  1. In the next step, you’ll see the page created.
  1. Now again go to settings and Token generation section and choose the newly created page.
  1. It will again prompt you for authentication. Do that.
  1. After the authentication, in the Token Generation section, we see now a Page Access token is generated. Copy that token and keep that at some location. We’ll soon need that.
  1. No, go to Settings->Basic to get the App Secret key as shown below. Copy and keep the App Secret key at some safe location, we’ll need that soon.
  1. Go back to the Amazon Lex service, its time to publish your bot to the Facebook Messenger for the newly created Facebook page. Click on Publish on the BotService.
  1. It will ask for the alias. Provide the alias name of your choice and remember it or store it somewhere.
  1. Click on publish, which may take some time.
  1. Once the bot is published, you’ll see the confirmation message and a blue colored button which says, “Go to channels”.
  1. This will show up different channels like Facebook, Kik, Slack, and Twillo. Since we need to integrate that bot to Facebook, choose that. Provide the name of the channel, the alias that we created while publishing. Give a token name and remember it or store it. Provide the saved access token and the API secret key that we stored earlier.
  1. Click on Activate after providing all the information on that page.
  1. Once activated, you’ll get the Callback URL at the bottom itself. Copy that URL and save it.
  1. Again, go back to Facebook’s developer’s account and click Settings. Go to Webhooks section and click Setup Webhooks to provide the webhook to that copied call-back URL in the last step.
  1. In the New Page Subscription i.e. the page opened after clicking setup webhooks, provide the Callback URL and verify token name that we stored earlier. Check the options like messages, postbacks, and options as shown below. Click Verify and Save.
  1. Once the webhook setup is complete, select the page to subscribe to webhook events. So select your Facebook page there.
  1. Click on the “Subscribe” button.
  1. Once done, go back to the Facebook page and add a new button by clicking “Add a button” button as shown below.
  1. Provide details for all the steps i.e. selecting Contact you feature for my messenger type. Select the option to send messages.

Live Chatbot on Facebook

After performing all the steps in the last section, we can say that our bot is successfully deployed and integrated with our Facebook page. Time to test it.

  1. Click on newly added “Send Message” button and from the context menu click “Test Button”.
  1. As soon as the Test Button link is clicked, the chatbot will open and note that the name of the chatbot is CodeBusiness. You type Hi, and it shows the message we provided in the error handling section.
  1. You type the utterances in the first intent and it replies back with what we tested in the Bot Service.

Yippie. Our bot seems to be working well. Like-wise you can test everything that we tested on the BotService on Lex like talking to a human, seeing slot information and all. You can also provide the tester permissions to the user you want to see this bot when they see your page on Facebook. I find it very cool.


In this detailed article series, we learned what a chatbot is, how to create your own bot using Amazon’s Lex service. Deploy and integrate the bot with the Facebook messenger. The bot integration could also be done to other platforms like Slack, Twilio etc. Just a matter of exploring and playing with it.


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