AutomationFlowsRecipes › HTTP Request → Supabase

HTTP Request → Supabase

When you need HTTP Request and Supabase talking to each other, here are the 136 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 Supabase

AI & RAG

⏺ 🚀 How it works

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

L&D_AgentsAI_ATIVO. Uses httpRequest, agent, googleCalendarTool, toolSerpApi. Webhook trigger; 93 nodes.

HTTP Request, Agent, Google Calendar Tool +9
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

• Create a Google Drive folder to watch. • Connect your Google Drive account in n8n and authorize access. • Point the Google Drive Trigger node to this folder (new/modified files trigger the flow).

Agent, Chat Trigger, Memory Buffer Window +14
AI & RAG

Flux. Uses lmChatOpenAi, agent, googleGemini, httpRequest. Webhook trigger; 67 nodes.

OpenAI Chat, Agent, Google Gemini +8
AI & RAG

crawl4 ai. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

Document Default Data Loader, Text Splitter Character Text Splitter, Supabase Vector Store +12
AI & RAG

Chat with docs - 5minAI New version. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 62 nodes.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +10
AI & RAG

I prepared a detailed guide that illustrates the entire process of building an AI agent using Supabase and Google Drive within N8N workflows.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +10
AI & RAG

System Architecture Two integrated N8N workflows providing automated US stock portfolio management through Telegram:

Output Parser Autofixing, OpenAI Chat, Perplexity +10
AI & RAG

Agent: IPTV (instance_e2165d22_1762376395079). Uses openAi, redis, supabase, httpRequest. Webhook trigger; 56 nodes.

OpenAI, Redis, Supabase +7
AI & RAG

YouTube Agent. Uses supabase, agent, lmChatAnthropic, outputParserStructured. Webhook trigger; 56 nodes.

Supabase, Agent, Anthropic Chat +10
AI & RAG

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

Memory Buffer Window, Supabase Vector Store, Document Default Data Loader +8
AI & RAG

Wordpress Ai Chatbot To Enhance User Experience With Supabase And Openai. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Token Splitter +9
AI & RAG

RAG & GenAI App With WordPress Content. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Token Splitter +9
AI & RAG

RAG & GenAI App With WordPress Content. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Token Splitter +9
AI & RAG

OIL Rag. Uses lmChatOpenAi, embeddingsOpenAi, agent, telegramTrigger. Event-driven trigger; 53 nodes.

OpenAI Chat, OpenAI Embeddings, Agent +12
Social Media

This template is for advanced users, content teams, and data analysts who need a robust, automated system for capturing YouTube transcripts. It’s ideal for those who monitor multiple channels and want

Supabase, Stop And Error, RSS Feed Read +1
AI & RAG

Fully automated blog creation system using n8n + AI Agents + Image Generation

Agent, Output Parser Structured, Groq Chat +9
AI & RAG

'Elena AI' is a powerful n8n workflow that transforms your automation platform into a full-fledged, multi-agent AI hub. 🤖✨ By combining Redis state management with specialized “tool” sub-workflows, yo

Redis, HTTP Request, Supabase +7
AI & RAG

Telegram dummy_client. Uses telegramTrigger, agent, lmChatOpenAi, telegram. Event-driven trigger; 48 nodes.

Telegram Trigger, Agent, OpenAI Chat +12
CRM & Sales

AI-Powered Lead Qualification & Routing System. Uses supabase, httpRequest, openAi, slack. Webhook trigger; 47 nodes.

Supabase, HTTP Request, OpenAI +2
AI & RAG

kisisel asistan. Uses toolWorkflow, toolHttpRequest, toolCalculator, toolThink. Scheduled trigger; 43 nodes.

Tool Workflow, Tool Http Request, Tool Calculator +15
AI & RAG

This template crawls a website from its sitemap, deduplicates URLs in Supabase, scrapes pages with Crawl4AI, cleans and validates the text, then stores content + metadata in a Supabase vector store us

HTTP Request, XML, Document Default Data Loader +5
AI & RAG

Autonomous Ai Crawler. Uses toolWorkflow, lmChatOpenAi, outputParserStructured, manualTrigger. Event-driven trigger; 38 nodes.

Tool Workflow, OpenAI Chat, Output Parser Structured +3

See more HTTP Request workflows · Supabase workflows

FAQ

How do I trigger a Supabase 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 Supabase 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 Supabase 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 → Supabase 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.