STEP 1
Select Chatling in workflow
Pick Chatling app in the workflow builder [4] - just one click to select the app.
Chatling Integration
AI customer-service agent for chatbot contacts and conversations. Route Chatling tickets, replies, and customer issues into CRM, chat, and escalation workflows. When Watch Contacts arrives, automatically continue with Get a Contact or Get a Conversation.
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- Data Encryption
- 2FA
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Supported triggers and actions for Chatling integration
Triggers can detect changes in Chatling and run actions that can create, search or modify data inside Chatling automatically [3] — exactly how you set them.
- Watch ContactsTriggers when a new contact has been collected by a chatbot.
- Watch Conversation MessagesTriggers when a new message is added to a conversation.
- Get a ContactRetrieves a single chatbot contact.
- Get a ConversationRetrieves a single conversation.
- List ContactsRetrieves contacts for a chatbot.
- List Conversation MessagesRetrieves a list of messages for a conversation.
- List ConversationsRetrieves conversations from a chatbot.
- Delete a ContactDeletes a chatbot contact.
- Perform an API CallPerforms an arbitrary authorized API call.
How to integrate Chatling in automation workflow?
3 simple steps to make your Chatling connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.
STEP 2
Connect Chatling
When prompted, authorize access to Chatling in WEXTL once. Chatling credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].
WEXTL wants to integrate with your Chatling account. Approve?
STEP 3
Build a workflow
Build your workflow with Chatling yourself or with WEXTL® AI Builder. Connect Chatling to any available integrations [5], or use HTTP node to go beyond them.
Chatling
How Chatling connects and integrates with WEXTL
Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever Chatling app is called in workflows. That allows your support automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that Chatling supports.
The following table illustrates what fields Chatling integration require during authorization flow inside our workflow builder [4].
Video slide demonstrates how Chatling is connected in WEXTL builder [4].
| Field | Type | Help |
|---|---|---|
API KeyRequired | password | Go to your account and open the Project Settings. Click the API Keys tab. Press the New API key button. Enter a name for the key and press Generate key. Copy the newly created key. |
Connect Chatling to popular apps on WEXTL
Enter a name of the other app you want to sync with Chatling below. Click on selected app to explore integration options with Chatling. 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 Chatling integration
Select Watch Contacts trigger from Chatling - this will be a starting point in your automation. Whenever event happens in Chatling, workflow will start [7] from Watch Contacts node.
Search for Delete a Contact, connect it as the next step of integration sequence. You can use filters between Watch Contacts and Delete a Contact, so only important data pass from Watch Contacts to the next step. WEXTL gives you full control over the process of Chatling automation. All parts of workflow are visible on the canvas [4].
Chatling on WEXTL has 9 modules for crafting support automations. Explore Chatling documentation for more.
Video slide demonstrates how Watch Contacts and Delete a Contact [6] nodes are used in Chatling workflow.
Frequently asked questions
Common questions about automating Chatling in your workflows.
Chatling has 2 triggers, including "Watch Contacts" and "Watch Conversation Messages". Triggers are start points of the workflow, and automations may start from them.
Integration has 7 actions, including "Get a Contact", "Get a Conversation", and "List Contacts", and more. Refer to our Chatling 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 Chatling integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by Chatling official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.
Absolutely. Where Chatling 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 Chatling 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 Chatling 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 Chatling 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 Chatling integration.
- Chatling integration source code, module specs and credentials implementation.
- Internal Chatling integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official Chatling 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® Chatling App Documentation
- WEXTL® Workflow Scheduler
- WEXTL® HTTP node documentation