Ai movie recommender on WhatsApp

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Important notice

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

1. Workflow Overview

This automated n8n workflow enables an AI powered movie recommendation system on WhatsApp. Users send messages like "I want to watch a horror movie" or "Where can I watch the Jumanji movie?" The wo...

Best for

Support Chatbot automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatollama, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.if, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.stickynote, n8n-nodes-base.webhook

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Oneclick AI Squad.

Original n8n.io source

1.1 Workflow description

Title: Ai movie recommender on WhatsApp
Workflow name: Ai movie recommender on WhatsApp

This automated n8n workflow enables an AI-powered movie recommendation system on WhatsApp. Users send messages like "I want to watch a horror movie" or "Where can I watch the Jumanji movie?" The workflow uses AI to interpret the request, searches relevant APIs (e.g., TMDb, JustWatch), and replies with movie recommendations or streaming platform availability via WhatsApp.

Fundamental Aspects

WhatsApp Webhook Trigger: Initiates the workflow when a WhatsApp message is received.
Analyze WhatsApp Message: Uses AI (e.g., Ollama Model) to interpret the user's intent and extract request type.
Check Request Type: Determines if the request is for a movie genre or a specific movie title.
Check Where Request: Identifies if the request includes a "where to watch" query.
Extract Movie Title: Extracts the movie title from the message if specified.
Extract Genre: Identifies the movie genre from the message if specified.
Search Specific Movie Title: Queries an API (e.g., TMDb) for details about a specific movie.
Search Movies by Genre: Queries an API (e.g., TMDb) for movies matching the genre.
Get Streaming Availability: Queries an API (e.g., JustWatch) for streaming platforms.
Format Streaming Response: Prepares the response with streaming platform details.
Format Genre Recommendations: Prepares the response with genre-based movie recommendations.
Prepare WhatsApp Message: Formats the final response for WhatsApp.
Send WhatsApp Response: Sends the recommendation or streaming info back to the user via WhatsApp.

Setup Instructions

Import the Workflow into n8n: Download the workflow JSON and import it via the n8n interface.
Configure API Credentials:
- Set up WhatsApp Business API credentials with a valid phone number and token.
- Configure TMDb API key (e.g., https://api.themoviedb.org).
- Configure JustWatch API key (e.g., https://api.watchmode.com).
- Set up AI model credentials (e.g., Ollama Model).
Run the Workflow: Activate the webhook trigger and test with a WhatsApp message.
Verify Responses: Check WhatsApp for accurate movie recommendations or streaming info.
Adjust Parameters: Fine-tune API endpoints or AI model as needed.

Features

AI Interpretation: Uses AI to analyze user intents (genre or movie title).
API Integration: Searches TMDb for movie details and JustWatch for streaming availability.
Real-Time Responses: Sends instant replies via WhatsApp.
Custom Recommendations: Provides genre-based or specific movie recommendations.

Technical Dependencies

WhatsApp Business API: For receiving and sending messages.
TMDb API: For movie details and genre searches.
JustWatch API: For streaming availability.
Ollama Model: For AI-based message analysis.
n8n: For workflow automation and integration.

Customization Possibilities

Add More APIs: Integrate additional movie databases (e.g., IMDb).
Enhance AI: Train the Ollama Model for better intent recognition.
Support More Languages: Add multilingual support for WhatsApp responses.
Add Email Alerts: Include email notifications for admin monitoring.
Customize Responses: Adjust the format of recommendations or streaming info.

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 - Ollama Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOllama - lmChatOllama
Config choices: Version 1

Block 2 - Analyze WhatsApp Message

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 3 - Check Request Type

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

Block 4 - Check Where Request

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

Block 5 - Extract Movie Title

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

Block 6 - Extract Genre

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

Block 7 - Search Specific Movie

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

Block 8 - Search Movies by Genre

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

Block 9 - Get Streaming Availability

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

Block 10 - Format Genre Recommendations

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 11 - Format Streaming Response

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 12 - Prepare WhatsApp Message

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 13 - Overview

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

Block 14 - Setup Guide

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

Block 15 - Message Processing

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

Block 16 - Request Routing

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

Block 17 - API Integration

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

Block 18 - Response Formatting

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

Block 19 - Send WhatsApp Response

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

Block 20 - WhatsApp Webhook Trigger

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

3. Summary Table

Workflow	Ai movie recommender on WhatsApp
Complexity	advanced
Nodes	20
Categories	Support Chatbot, Multimodal AI
Author	Oneclick AI Squad
Published	08 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7173/7173.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Support Chatbot workflows Multimodal AI workflows

Frequently asked questions

What does Ai movie recommender on WhatsApp do?

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 Support Chatbot, Multimodal AI use case.

Oneclick AI Squad

224 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatollama @n8n/n8n-nodes-langchain.agent n8n-nodes-base.if n8n-nodes-base.set n8n-nodes-base.httprequest n8n-nodes-base.code n8n-nodes-base.stickynote n8n-nodes-base.webhook

Complexity

advanced

Published 08 Aug 2025

Likes 0

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Install path: /data/workflows/7173/7173.json

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Ai movie recommender on WhatsApp

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Fundamental Aspects

Setup Instructions

Features

Technical Dependencies

Customization Possibilities

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Ollama Model

Block 2 - Analyze WhatsApp Message

Block 3 - Check Request Type

Block 4 - Check Where Request

Block 5 - Extract Movie Title

Block 6 - Extract Genre

Block 7 - Search Specific Movie

Block 8 - Search Movies by Genre

Block 9 - Get Streaming Availability

Block 10 - Format Genre Recommendations

Block 11 - Format Streaming Response

Block 12 - Prepare WhatsApp Message

Block 13 - Overview

Block 14 - Setup Guide

Block 15 - Message Processing

Block 16 - Request Routing

Block 17 - API Integration

Block 18 - Response Formatting

Block 19 - Send WhatsApp Response

Block 20 - WhatsApp Webhook Trigger

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions