AutomationFlowsRecipes › HTTP Request → Google Gemini Chat

HTTP Request → Google Gemini Chat

When you need HTTP Request and Google Gemini Chat talking to each other, here are the 627 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair HTTP Request with Google Gemini Chat

AI & RAG

This workflow creates a multi-talented AI assistant named Simran that interacts with users via Telegram. It can handle text and voice messages, understand the user's intent, and perform various tasks.

MongoDB, Chain Llm, Google Gemini Chat +11
AI & RAG

⏺ 🚀 How it works

Agent, Anthropic Chat, Output Parser Structured +6
AI & RAG

Camila IA. Uses postgres, crypto, redis, agent. Webhook trigger; 92 nodes.

Postgres, Crypto, Redis +13
AI & RAG

This project is a template for building a complete academic virtual assistant using n8n. It connects to Telegram, answers frequently asked questions by querying MongoDB, keeps the community informed a

Telegram, MongoDB, Telegram Trigger +6
AI & RAG

ANIS_HUB 1. Uses gmail, googleDrive, googleSheets, httpRequest. Webhook trigger; 89 nodes.

Gmail, Google Drive, Google Sheets +3
AI & RAG

Api Schema Extractor. Uses manualTrigger, httpRequest, splitOut, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 88 nodes.

HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
AI & RAG

Wait Splitout. Uses manualTrigger, httpRequest, splitOut, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 88 nodes.

HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
AI & RAG

This workflow automates the process of discovering and extracting APIs from various services, followed by generating custom schemas. It works in three distinct stages: research, extraction, and schema

HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
AI & RAG

A Telegram bot that converts natural-language work descriptions into detailed cost estimates using AI parsing, vector search, and the open-source DDC CWICR database with 55,000+ construction work item

HTTP Request, Telegram, Telegram Trigger +6
AI & RAG

Content - Newsletter Agent. Uses formTrigger, chainLlm, outputParserStructured, httpRequest. Event-driven trigger; 87 nodes.

Form Trigger, Chain Llm, Output Parser Structured +7
Data & Sheets

Stopanderror Splitout. Uses outputParserStructured, lmChatOpenAi, formTrigger, chainLlm. Event-driven trigger; 85 nodes.

Output Parser Structured, OpenAI Chat, Form Trigger +8
AI & RAG

LinkedIn_Job_Hunt_and_Cover_Letter. Uses outputParserStructured, outputParserAutofixing, googleDrive, agent. Scheduled trigger; 85 nodes.

Output Parser Structured, Output Parser Autofixing, Google Drive +6
AI & RAG

This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers.

Output Parser Structured, OpenAI Chat, Form Trigger +8
AI & RAG

How it Works

Memory Buffer Window, Agent, Output Parser Structured +9
AI & RAG

Episode 18 Scary Stories TikTok final. Uses httpRequest, lmChatOpenAi, lmChatOllama, lmChatDeepSeek. Event-driven trigger; 83 nodes.

HTTP Request, OpenAI Chat, Ollama Chat +12
AI & RAG

Creators, marketers, and brands that want to turn a single product photo into premium motion clips, then optionally publish to Instagram/TikTok/YouTube via LATE. No editing skills required.

Telegram, Agent Tool, Telegram Trigger +5
AI & RAG

Product to Social Video (xCodeWraith Edition). Uses telegram, agentTool, telegramTrigger, httpRequest. Event-driven trigger; 83 nodes.

Telegram, Agent Tool, Telegram Trigger +5
AI & RAG

This comprehensive workflow bundle is designed as a powerful starter kit, enabling you to build a multi-functional AI assistant on Telegram. It seamlessly integrates AI-powered voice interactions, an

Telegram Trigger, Telegram, OpenAI +19
AI & RAG

Automatically scan major financial newswires for biotech catalyst events, score them with AI sentiment analysis, and surface ranked trade candidates — all without manual monitoring.

RSS Feed Read, Data Table, HTTP Request +4
AI & RAG

My workflow 53. Uses formTrigger, httpRequest, lmChatOpenAi, form. Event-driven trigger; 74 nodes.

Form Trigger, HTTP Request, OpenAI Chat +15
AI & RAG

Episode 23: UGC with nanobanana. Uses lmChatOpenAi, lmChatOllama, lmChatDeepSeek, lmChatOpenRouter. Event-driven trigger; 74 nodes.

OpenAI Chat, Ollama Chat, Lm Chat Deep Seek +12
AI & RAG

⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, splitOut, chainLlm. Chat trigger; 72 nodes.

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

This n8n workflow transforms entire YouTube playlists or single videos into interactive knowledge bases you can chat with. Ask questions and get summaries without needing to watch hours of content. 🔗

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

Find trending theories – Uses Grok-4 to scan X (Twitter) for the top emerging conspiracy theory from the last 3 days Write the script – Takes the theory and creates a 24-second documentary-style scrip

HTTP Request, Jwt, Chain Llm +5

See more HTTP Request workflows · Google Gemini Chat workflows

FAQ

How do I trigger a Google Gemini Chat action from HTTP Request?

Most workflows in this list use either a HTTP Request webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Google Gemini Chat nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a HTTP Request and a Google Gemini Chat account?

Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.

Are these HTTP Request → Google Gemini Chat workflows free?

Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.