Connect ChatBot and Google Cloud Dialogflow ES integrations
Connect ChatBot and Google Cloud Dialogflow ES with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like ChatBot and Google Cloud Dialogflow ES to create visual automated workflows. Choose from thousands of ready-made apps or use our no-code toolkit to connect to apps not yet in our library.
Triggers when a user sends a specific message into a chat.
Creates a context in the specified session.
Creates an agent in the specified project.
Creates an entity type in the specified agent.
Creates an intent in the specified agent.
Creates multiple entities in the specified entity type.
Removes a context in the specified session.
Removes an agent in the specified project.
Removes an entity type in the specified agent.
Removes an intent and its followup intents in the specified agent.
Removes multiple entities in the specified entity type.
Processes a natural language query.
Retrieves the details of a context in the specified session.
Retrieves the details of an agent in the specified project.
Retrieves the details of an entity type in the specified agent.
Retrieves the details of an intent in the specified agent.
Performs an arbitrary authorized API call.
Responds to the incoming fulfillment request. The response must occur within 10 seconds for Google Assistant applications or 5 seconds for all other applications, otherwise the request will time out.
Updates a context in the specified session.
Updates an agent in the specified project.
Updates an entity type in the specified agent.
Updates an intent in the specified agent.
Lists all contexts in the specified session.
Lists all entities in the specified entity type.
Lists all entity types in the specified agent.
Lists all intents in the specified agent.
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Build your ChatBot and Google Cloud Dialogflow ES integrations.
Create custom ChatBot and Google Cloud Dialogflow ES workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Creates multiple entities in the specified entity type.
Creates a context in the specified session.
Creates a new user.
Creates an agent in the specified project.
Creates an entity type in the specified agent.
Creates an intent in the specified agent.
Removes multiple entities in the specified entity type.
Removes a context in the specified session.
Removes an agent in the specified project.
Popular ChatBot and Google Cloud Dialogflow ES workflows.
Looking to get more out of ChatBot and Google Cloud Dialogflow ES? With Make you can visually integrate ChatBot and Google Cloud Dialogflow ES into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
Detect Dialogflow intents for new WhatsApp messages
Every time a new message is received on WhatsApp, Make will automatically detect the intent with Google Dialogflow API. Then, the intent's output is sent as a reply in WhatsApp.
TRY IT ->Create new Google Calendar events from new Chatbot messages
Every time a new ChatBot message is received, a new event will be created in Google Calendar. Please note that this template is based on the "Lead Generation Bot" ChatBot template which was enriched with a webhook action at the very end. This template works with these variables from ChatBot: 1) `CompanyName` 2) `default_name` 3) `Team` 4) `CompanyNeed` 5) `default_email` Depending on how exactly your bot is configured, available variables may vary and you should run the scenario at least once in order to see all the available variables from ChatBot.
TRY IT ->Add new Salesforce leads from new ChatBot users
This scenario periodically checks for new ChatBot users and uses the retrieved information to create new leads in Salesforce. The template is using "Lead Generation Bot" template from Chatbot. The bot is asking for name, email, company name, company size, and a purpose of the inquiry. It's important to pay attention to the scenario schedule and to the filter configuration in the first Chatbot module - both elements need to be the same. If you schedule this scenario to run every 15 minutes then the scenario should only check new users created in the last 15 minutes.
TRY IT ->Add new MailChimp subscribers from new Chatbot users
This scenario periodically checks for new ChatBot users and uses the retrieved information to create new subscribers MailChimp. The template is using "Lead Generation Bot" template from Chatbot. The bot is asking for name, email, company name, company size, and a purpose of the inquiry. It's important to pay attention to the scenario schedule and to the filter configuration in the first Chatbot module - both elements need to be the same. If you schedule this scenario to run every 15 minutes then the scenario should only check new users created in the last 15 minutes.
TRY IT ->Detect Dialogflow intents for new Messenger messages
Every time a new message is received on Facebook Messenger, Make will automatically detect the intent with Google Dialogflow API. Then, the intent's output is sent as a reply in Messenger.
TRY IT ->Perform a Dialogflow fulfillment with webhooks (custom response format)
In this example, Make will automatically perform a fulfillment for the ongoing conversation. Then, a webhook response is sent to Dialogflow with a custom JSON format.
TRY IT ->Perform a Dialogflow fulfillment with webhooks
Every time a new Dialogflow fulfillment webhook is triggered, Make will automatically perform a fulfillment for the ongoing conversation. Then, a webhook response is sent to Dialogflow.
TRY IT ->Create Dialogflow entities from new Google Sheets rows
Every time a new row is added to Google Sheets, Make will automatically create a new entity in Google Cloud Dialogflow. This template uses [this example spreadsheet](https://docs.google.com/spreadsheets/d/1aPTmooD8oediEfOmvAeOnNzh6FNSzHjZgQtM3gMYeIE/edit?usp=sharing).
TRY IT ->Perform a Dialogflow conditional fulfilment response
Every time a new Dialogflow fulfillment webhook is triggered, Make will automatically filter the scenario based on a condition. Then, a specific fulfillment response is sent depending on each route.
TRY IT ->
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