STEP 1
Connect AWS SQS and Landbot
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
AWS SQS and Landbot Integration
Connect AWS SQS and Landbot to automate communication workflows. Trigger events from one app, run actions in the other and use AI to make smart decisions. Integrate apps in 3 simple steps - no code required.
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Learn about AWS SQS and Landbot
Detailed info you need to know about AWS SQS and Landbot integrations in WEXTL. Explore which modules apps support and how you connect them.
How to connect AWS SQS to Landbot
Set up your AWS SQS and Landbot integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS SQS and Landbot nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between AWS SQS and Landbot. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS SQS and Landbot work in WEXTL?
WEXTL exposes actions and triggers for AWS SQS and Landbot that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
AWS SQS triggersLandbot actions
AWS SQS modules
- Add PermissionAdds a permission to a queue for a specific principal.
- Cancel Message Move TaskCancels a running message move task.
- Change Message VisibilityChanges the visibility timeout of a received message.
- Change Message Visibility BatchChanges the visibility timeout of multiple received messages in one request.
- Create QueueCreates a new SQS queue. FIFO queues must have a name ending in .fifo and set the FifoQueue attribute.
- Delete MessageDeletes a received message from a queue, acknowledging successful processing.
- Delete Message BatchDeletes up to 10 messages from a queue in a single request.
- Delete QueueDeletes an SQS queue and all its messages. This action is irreversible.
- Get Queue AttributesReturns attributes of an SQS queue.
- Get Queue UrlReturns the URL of an existing SQS queue by name.
- List Dead Letter Source QueuesLists source queues that have a dead-letter queue configured.
- List Message Move TasksLists active and completed message move tasks for a source queue.
- List QueuesLists SQS queues in the region, optionally filtered by name prefix.
- List Queue TagsReturns the tags assigned to an SQS queue.
- Make an API CallPerforms an arbitrary authorized API call to the Amazon SQS endpoint.
- Purge QueueDeletes all messages from a queue without deleting the queue itself. This action is irreversible.
- Receive MessageRetrieves up to 10 messages from a queue. Messages become invisible for the visibility timeout; delete them to acknowledge processing.
- Remove PermissionRemoves a permission from an SQS queue.
- Send MessageSends a message to an SQS queue.
- Send Message BatchSends up to 10 messages to an SQS queue in a single request.
- Set Queue AttributesSets the attributes of an SQS queue.
- Start Message Move TaskStarts a message move task to move messages from a dead-letter queue to a source queue.
- Tag QueueAdds or updates cost-allocation tags on an SQS queue.
- Untag QueueRemoves cost-allocation tags from an SQS queue.
- Watch Queue MessagesTriggers when new messages arrive in an SQS queue. Messages become invisible for the visibility timeout; chain Delete Message to acknowledge.
Landbot modules
- 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.
- Assign Customer to BotHands a customer to a bot.
- Assign Customer to MeAssigns a customer to the agent who owns the token.
- Block CustomerBlocks a customer from messaging.
- Copy AI AgentMakes a copy of an AI agent (needs permission to edit bots).
- Create AI AgentCreates an AI agent (needs permission to edit bots).
- Create APIchat CustomerCreates a customer in an APIchat channel.
- Create Customer FieldCreates a custom field on a customer.
- Delete CustomerDeletes a customer.
- Delete Customer FieldDeletes a custom field from a customer.
- 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.
- Make an API CallPerforms an arbitrary authorized API call.
- Remove Customer WhatsApp Opt-InRemoves a customer's WhatsApp opt-in.
- Search ChannelsRetrieves a list of channels that match a name, with their UUIDs.
- Send APIchat MessageSends a message into an APIchat conversation.
- Send ImageSends an image to a customer.
- Send LocationSends a map location to a customer.
- Send Text MessageSends a text message to a customer.
- Send WhatsApp TemplateSends a WhatsApp template message to a customer.
- Set APIchat Conversation as ReadMarks an APIchat conversation as read.
- Unarchive CustomerBrings an archived customer back.
- Unassign CustomerRemoves the agent or bot from a customer.
- Unblock CustomerLets a blocked customer message again.
- Update AI AgentReplaces an AI agent with the settings you send (needs permission to edit bots).
- Update APIchat CustomerUpdates a customer in an APIchat channel.
- Update Channel DesignUpdates the look and settings of a channel (needs permission to create channels).
- Update Customer FieldChanges the value of an existing custom field on a customer.
- Upload Channel ImageUploads an image and returns its address for use in a channel design.
- 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.
Frequently asked questions
Common questions about connecting AWS SQS and Landbot.
Connect your AWS SQS and Landbot accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when AWS SQS's "Watch Queue Messages" fires, WEXTL can "Add Knowledge Source" in Landbot. AWS SQS has 1 trigger (including Watch Queue Messages); Landbot has 43 actions (including Add Knowledge Source, Archive Customer, and Assign Customer to Agent). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. AWS SQS-to-Landbot automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment AWS SQS (or Landbot) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your AWS SQS + Landbot automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the AWS SQS and Landbot integration.
- AWS SQS and Landbot integration source code, module specs and credentials implementation.
- Our AWS SQS and Landbot integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS SQS and Landbot — 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.
- AWS SQS integration information
- Landbot integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library