

90% cheaper with Latenode
AI agent that builds your workflows for you
Hundreds of apps to connect
Automate document processing: connect Airparser to LlamaCloud for instant data extraction then feed it to AI models. Latenode's visual editor and affordable pricing make it simple to build custom, scalable workflows without complex coding or per-step fees.
Swap Apps
LlamaCloud
Airparser
No credit card needed
Without restriction
Create a New Scenario to Connect LlamaCloud and Airparser
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a LlamaCloud, triggered by another scenario, or executed manually (for testing purposes). In most cases, LlamaCloud or Airparser will be your first step. To do this, click "Choose an app," find LlamaCloud or Airparser, and select the appropriate trigger to start the scenario.
Add the LlamaCloud Node
Select the LlamaCloud node from the app selection panel on the right.
LlamaCloud
Configure the LlamaCloud
Click on the LlamaCloud node to configure it. You can modify the LlamaCloud URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Airparser Node
Next, click the plus (+) icon on the LlamaCloud node, select Airparser from the list of available apps, and choose the action you need from the list of nodes within Airparser.
LlamaCloud
β
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.
Configure the LlamaCloud 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.
Set Up the LlamaCloud and Airparser Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
β
AI Anthropic Claude 3
β
Airparser
Trigger on Webhook
β
LlamaCloud
β
β
Iterator
β
Webhook response
Save and Activate the Scenario
After configuring LlamaCloud, Airparser, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the LlamaCloud and Airparser integration works as expected. Depending on your setup, data should flow between LlamaCloud and Airparser (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
LlamaCloud + Airparser + Google Sheets: When a document is uploaded to Airparser, LlamaCloud extracts data from it. The extracted data is then added as a new row in Google Sheets.
Airparser + LlamaCloud + Airtable: When a new document is uploaded to Airparser, LlamaCloud enriches the extracted text and saves the categorized data into Airtable as a new record.
About LlamaCloud
Use LlamaCloud inside Latenode to streamline AI model deployment. Build workflows that automate prompt engineering, A/B testing, and model evaluation. Connect data sources, trigger LlamaCloud jobs, and manage results via webhooks or REST. Scale AI tasks and track performance visually without complex code.
Related categories
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.
Similar apps
Related categories
How can I connect my LlamaCloud account to Airparser using Latenode?
To connect your LlamaCloud account to Airparser on Latenode, follow these steps:
Can I automate analysis of parsed data using AI models?
Yes! Latenode's visual editor simplifies connecting Airparser to LlamaCloud for AI-driven insights. Automate workflows that extract data and send it to LlamaCloud for analysis.
What types of tasks can I perform by integrating LlamaCloud with Airparser?
Integrating LlamaCloud with Airparser allows you to perform various tasks, including:
What LlamaCloud AI models can I use within a Latenode workflow?
You can leverage LlamaCloud's text generation, summarization, and classification models directly within Latenode workflows.
Are there any limitations to the LlamaCloud and Airparser integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: