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Automatically update LiveChat with parsed data from Docparser documents. Latenode’s visual editor makes it easy to route extractions while affordable pricing means you only pay for the automation’s execution time.
Connect Docparser and LiveChat in minutes with Latenode.
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In the workspace, click the “Create New Scenario” button.

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

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

Docparser
Click on the Docparser node to configure it. You can modify the Docparser URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the Docparser 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
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.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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LiveChat
Trigger on Webhook
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Docparser
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Iterator
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Webhook response
After configuring Docparser, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Docparser and LiveChat integration works as expected. Depending on your setup, data should flow between Docparser and LiveChat (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Docparser + Google Sheets + LiveChat: When Docparser parses a new document, the data is added to a Google Sheet. If a new row is added to the Google Sheet, LiveChat can be used to offer chat support based on the data.
LiveChat + Docparser + Email: When a customer asks a question in LiveChat, use Docparser to fetch related information from documents based on keywords in the chat message and email it to the customer.
About Docparser
Extract data from PDFs, invoices, and forms automatically with Docparser in Latenode. Stop manual data entry. Build workflows that trigger actions based on parsed content. Use Latenode’s no-code tools to filter, transform, and route data to your database or apps, creating scalable document processing pipelines.
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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.
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How can I connect my Docparser account to LiveChat using Latenode?
To connect your Docparser account to LiveChat on Latenode, follow these steps:
Can I automatically send parsed invoice data to a LiveChat agent?
Yes, you can! Latenode allows you to automatically send parsed data to agents, streamlining support. Use visual flow to filter data and AI to summarize key insights before sending.
What types of tasks can I perform by integrating Docparser with LiveChat?
Integrating Docparser with LiveChat allows you to perform various tasks, including:
Can I use custom JavaScript to enhance Docparser data within Latenode?
Yes! Latenode allows custom JavaScript blocks to transform parsed Docparser data before it reaches LiveChat, enabling advanced data manipulation.
Are there any limitations to the Docparser and LiveChat integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: