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Translate cocktail instructions using DeepL

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Translate cocktail instructions using DeepL preview
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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This workflow allows you to translate cocktail instructions using DeepL. HTTP Request node: This node will make a GET request to the API to fetch a random cocktai...

Best for

  • Document Extraction automation workflows
  • Multimodal AI automation workflows
  • beginner n8n builders looking for reusable templates

Tools used

n8n-nodes-base.httprequest, n8n-nodes-base.deepl

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Harshil Agrawal.

Original n8n.io source

1.1 Workflow description

Title
Translate cocktail instructions using DeepL
Workflow name
Translate cocktail instructions using DeepL

This workflow allows you to translate cocktail instructions using DeepL.

HTTP Request node: This node will make a GET request to the API https://www.thecocktaildb.com/api/json/v1/1/random.php to fetch a random cocktail. This information gets passed on to the next node in the workflow. Based on your use case, replace the node with the node from where you might receive the data.

DeepL node: This node will translate the cocktail instructions that we got from the previous node to French. To translate the instructions in your language, select your language instead.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - HTTP Request

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 1

Block 2 - DeepL

Type / Role
n8n-nodes-base.deepL - deepL
Config choices
Version 1

3. Summary Table

Workflow Translate cocktail instructions using DeepL
Complexity beginner
Nodes 2
Categories Document Extraction, Multimodal AI
Author Harshil Agrawal
Published 23 Mar 2021

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/998/998.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Translate cocktail instructions using DeepL do?

This workflow allows you to translate cocktail instructions using DeepL. HTTP Request node: This node will make a GET request to the API to fetch a random cocktai...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, Multimodal AI use case.