STEP 1
Select Landbot in workflow
Pick Landbot app in the workflow builder [4] - just one click to select the app.
Landbot Integration
Chatbot and AI agent builder for WhatsApp and websites. Route Landbot messages and channel activity into workflows that keep your teams and systems in sync. When Watch APIchat Messages arrives, automatically update CRM, tickets, docs, or other tools.
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- GDPR
- Data Encryption
- 2FA
- Local Data Region
Supported triggers and actions for Landbot integration
Triggers can detect changes in Landbot and run actions that can create, search or modify data inside Landbot automatically [3] — exactly how you set them.
- Watch APIchat MessagesTriggers when a bot or agent sends a message in an APIchat channel.
- Watch Channel MessagesTriggers when a message is sent in a web or WhatsApp channel.
- Get AI AgentReturns a single AI agent (needs permission to view bots).
- Get AI Agent SchemaReturns the description of the settings an AI agent accepts (needs permission to view bots).
- Get APIchat AgentReturns a single agent of an APIchat channel.
- Get ChannelReturns a single channel with its design settings.
- Get Channel by UUIDReturns a single channel using its UUID.
- Get Channel Draft DesignReturns the unpublished test copy of a channel's design (needs permission to create channels).
- Get CustomerReturns a single customer.
- Get Customer FieldReturns a single custom field of a customer.
- Get Customer MessagesRetrieves the full conversation with a customer.
- Get Test Channel ConfigurationReturns the settings needed to open a conversation with a bot's test channel (needs permission to create channels).
- List ChannelsRetrieves a list of channels in your workspace.
- List CustomersRetrieves a list of customers in your workspace.
- List Knowledge SourcesRetrieves the sources an AI agent learns from (needs permission to view bots).
- List WhatsApp TemplatesRetrieves a list of WhatsApp templates.
- Search ChannelsRetrieves a list of channels that match a name, with their UUIDs.
- Add Knowledge SourceAdds a text or website source to an AI agent (needs permission to edit bots).
- Archive CustomerArchives a customer.
- Assign Customer to AgentAssigns a customer to a specific agent.
How to integrate Landbot in automation workflow?
3 simple steps to make your Landbot connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.
STEP 2
Connect Landbot
When prompted, authorize access to Landbot in WEXTL once. Landbot credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].
WEXTL wants to integrate with your Landbot account. Approve?
STEP 3
Build a workflow
Build your workflow with Landbot yourself or with WEXTL® AI Builder. Connect Landbot to any available integrations [5], or use HTTP node to go beyond them.
Landbot
How Landbot connects and integrates with WEXTL
Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever Landbot app is called in workflows. That allows your communication automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that Landbot supports.
The following table illustrates what fields Landbot integration require during authorization flow inside our workflow builder [4].
Connect Landbot
Agent Token*Text
••••••••
Demonstration of Landbot connection step inside WEXTL Workflow Builder [4].
| Field | Type | Help |
|---|---|---|
Agent TokenRequired | password | In Landbot, open Settings, then Account, and copy your agent token. It gives access to your whole workspace, so keep it private. |
Connect Landbot to popular apps on WEXTL
Enter a name of the other app you want to sync with Landbot below. Click on selected app to explore integration options with Landbot. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.
Example automation with Landbot integration
Select Watch Channel Messages trigger from Landbot - this will be a starting point in your automation. Whenever event happens in Landbot, workflow will start [7] from Watch Channel Messages node.
Search for Send APIchat Message, connect it as the next step of integration sequence. You can use filters between Watch Channel Messages and Send APIchat Message, so only important data pass from Watch Channel Messages to the next step. WEXTL gives you full control over the process of Landbot automation. All parts of workflow are visible on the canvas [4].
Landbot on WEXTL has 45 modules for combining communication automations. Explore Landbot documentation for more.
Landbot
Watch Channel Messages
Chatwork
Performs action
OR
Chatwork
Triggers
Landbot
Send APIchat Message
Demonstration of how visual Landbot automation [6] looks in WEXTL.
Frequently asked questions
Common questions about automating Landbot in your workflows.
Landbot has 2 triggers, including "Watch APIchat Messages" and "Watch Channel Messages". Triggers are start points of the workflow, and automations may start from them.
Integration has 43 actions, including "Get AI Agent", "Get AI Agent Schema", and "Get APIchat Agent", and more. Refer to our Landbot Documentation for detailed inputs and outputs.
No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].
Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.
The Landbot integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by Landbot official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.
Absolutely. Where Landbot provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever Landbot or any other service sends event to webhook URL.
WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for Landbot inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with Landbot modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.
References
List of sources used to gather information about the Landbot integration.
- Landbot integration source code, module specs and credentials implementation.
- Internal Landbot integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official Landbot vendor API documentation — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® Visual Workflow Builder, anonymized data from our technical support team.
- WEXTL® Apps Library
- WEXTL® Landbot App Documentation
- WEXTL® Workflow Scheduler
- WEXTL® HTTP node documentation