Airparser and LiveChat Integration

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Automatically create LiveChat leads from Airparser data extractions. Use Latenode's visual editor to filter and qualify leads before they reach your team. Benefit from affordable pricing based on execution time.

Swap Apps

Airparser

LiveChat

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Airparser and LiveChat

Create a New Scenario to Connect Airparser and LiveChat

In the workspace, click the “Create New Scenario” button.

Add the First Step

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

Add the Airparser Node

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

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Airparser

Configure the Airparser

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

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Airparser

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Connect Airparser

Sign In

Run node once

Add the LiveChat Node

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

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LiveChat

Authenticate LiveChat

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

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LiveChat

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Connect LiveChat

Sign In

Run node once

Configure the Airparser and LiveChat 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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LiveChat Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the Airparser and LiveChat 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 don’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 Airparser, LiveChat, and any additional nodes, don’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 “Run once” and triggering an event to check if the Airparser and LiveChat integration works as expected. Depending on your setup, data should flow between Airparser and LiveChat (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Airparser and LiveChat

Airparser + LiveChat + Slack: When Airparser detects specific keywords or patterns in a document, indicating urgent issues, it triggers a notification to a LiveChat agent via a Slack message. This ensures immediate attention to critical issues identified in parsed documents.

LiveChat + Airparser + Google Sheets: When a chat is deactivated in LiveChat, the chat transcript is sent to Airparser to identify mentions of specific keywords. The chat details, including identified keywords, are then logged into a Google Sheet for sentiment analysis and reporting.

Airparser and LiveChat integration alternatives

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.

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 – all visually, and without code.

See how Latenode works

FAQ Airparser and LiveChat

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

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

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

Can I automatically send parsed data to LiveChat?

Yes, you can! Latenode lets you create automated workflows. Send parsed data from Airparser to LiveChat agents for immediate action, streamlining customer support and data delivery.

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

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

  • Send new Airparser data rows directly to LiveChat as messages.
  • Trigger LiveChat chats based on parsed data from Airparser documents.
  • Update LiveChat contact information with Airparser extraction results.
  • Create new LiveChat tickets from specific Airparser data entries.
  • Automatically route chats based on data extracted by Airparser.

CanIusetheAirparserintegrationtoextractspecificdatainLatenode?

Yes, Airparser on Latenode allows precise data extraction. Use its parsing capabilities and Latenode's workflow to filter and format data easily.

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

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

  • Complex parsing logic in Airparser may require JavaScript for advanced customization.
  • LiveChat API rate limits could affect high-volume data transfer.
  • Real-time data updates depend on the Airparser parsing frequency.

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