HTTP Request and Text Classifier integration

Save yourself the work of writing custom integrations for HTTP Request and Text Classifier and use n8n instead. Build adaptable and scalable Development, Core Nodes, AI, and Langchain workflows that work with your technology stack. All within a building experience you will love.

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How to connect HTTP Request and Text Classifier

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

HTTP Request and Text Classifier integration: Create a new workflow and add the first step

Step 2: Add and configure HTTP Request and Text Classifier nodes

You can find HTTP Request and Text Classifier in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure HTTP Request and Text Classifier nodes one by one: input data on the left, parameters in the middle, and output data on the right.

HTTP Request and Text Classifier integration: Add and configure HTTP Request and Text Classifier nodes

Step 3: Connect HTTP Request and Text Classifier

A connection establishes a link between HTTP Request and Text Classifier (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

HTTP Request and Text Classifier integration: Connect HTTP Request and Text Classifier

Step 4: Customize and extend your HTTP Request and Text Classifier integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect HTTP Request and Text Classifier with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

HTTP Request and Text Classifier integration: Customize and extend your HTTP Request and Text Classifier integration

Step 5: Test and activate your HTTP Request and Text Classifier workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from HTTP Request to Text Classifier or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

HTTP Request and Text Classifier integration: Test and activate your HTTP Request and Text Classifier workflow

Advanced AI Demo (Presented at AI Developers #14 meetup)

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024.

AI workflows

Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node, simplifying this usecase.
Ingest a PDF into a Pinecone vector store and chat with it (RAG example)
AI Agent example showcasing the HTTP Request tool. We teach the agent how to check availability on a Google Calendar and book an appointment.

Nodes used in this workflow

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Popular HTTP Request and Text Classifier workflows

Advanced AI Demo (Presented at AI Developers #14 meetup)

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. AI workflows Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node, simplifying this usecase. Ingest a PDF into a Pinecone vector store and chat with it (RAG example) AI Agent example showcasing the HTTP Request tool. We teach the agent how to check availability on a Google Calendar and book an appointment.

Build your own HTTP Request and Text Classifier integration

Create custom HTTP Request and Text Classifier workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.