LiveChat and Airparser Integration

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Automatically extract key data from LiveChat transcripts using Airparser, then act on it using Latenode's visual editor. Scale affordably as you automate lead qualification, sentiment analysis, or support ticket routing, with low-code customization options.

Swap Apps

LiveChat

Airparser

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect LiveChat and Airparser

Create a New Scenario to Connect LiveChat and Airparser

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a LiveChat, triggered by another scenario, or executed manually (for testing purposes). In most cases, LiveChat or Airparser will be your first step. To do this, click "Choose an app," find LiveChat or Airparser, and select the appropriate trigger to start the scenario.

Add the LiveChat Node

Select the LiveChat node from the app selection panel on the right.

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LiveChat

Configure the LiveChat

Click on the LiveChat node to configure it. You can modify the LiveChat URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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LiveChat

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Connect LiveChat

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Run node once

Add the Airparser Node

Next, click the plus (+) icon on the LiveChat node, select Airparser from the list of available apps, and choose the action you need from the list of nodes within Airparser.

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Airparser

Authenticate Airparser

Now, click the Airparser node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Airparser settings. Authentication allows you to use Airparser through Latenode.

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Airparser

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Configure the LiveChat and Airparser Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Airparser Oauth 2.0

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Set Up the LiveChat and Airparser Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that donโ€™t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring LiveChat, Airparser, and any additional nodes, donโ€™t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking โ€œRun onceโ€ and triggering an event to check if the LiveChat and Airparser integration works as expected. Depending on your setup, data should flow between LiveChat and Airparser (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect LiveChat and Airparser

LiveChat + Airparser + Slack: When a chat is deactivated in LiveChat, the transcript is sent to Airparser to extract key information. Then, a summary of the key insights is sent to a designated Slack channel.

Airparser + LiveChat + Google Sheets: When Airparser processes a document, it extracts relevant data and updates a Google Sheet. If a specific value changes in a defined cell, LiveChat agents are notified.

LiveChat and Airparser integration alternatives

About LiveChat

Integrate LiveChat into Latenode to automate support workflows. Route chats based on keywords, tag conversations, or trigger automated responses. Connect LiveChat data to other apps (CRM, databases) for unified insights. Simplify complex routing and ensure agents have context โ€“ all visually, and without code.

About Airparser

Airparser in Latenode extracts data from PDFs, emails, and documents. Automate data entry by feeding parsed content directly into your CRM or database. Use Latenode's logic functions to validate or transform data, then trigger actions like sending notifications or updating records. Scale document processing without complex code.

See how Latenode works

FAQ LiveChat and Airparser

How can I connect my LiveChat account to Airparser using Latenode?

To connect your LiveChat account to Airparser on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select LiveChat and click on "Connect".
  • Authenticate your LiveChat and Airparser accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I extract customer feedback from LiveChat transcripts into Airparser?

Yes, you can! Latenode enables this, automating data extraction from chats. Analyze feedback in Airparser for improved customer service, saving time with efficient workflows.

What types of tasks can I perform by integrating LiveChat with Airparser?

Integrating LiveChat with Airparser allows you to perform various tasks, including:

  • Automatically saving chat transcripts from LiveChat into Airparser.
  • Parsing customer data collected during LiveChat sessions.
  • Analyzing customer sentiment from LiveChat conversations.
  • Triggering actions in Airparser based on LiveChat keywords.
  • Updating Airparser records with new data from LiveChat interactions.

Can I trigger LiveChat chats from parsed data in Airparser?

Yes! Latenode allows triggering LiveChat conversations based on conditions in Airparser, enabling proactive customer engagement and personalized support.

Are there any limitations to the LiveChat and Airparser integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data parsing in Airparser may require advanced configuration.
  • High volumes of LiveChat data may impact workflow execution speed.
  • Real-time synchronization of data may experience slight delays.

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