Find Reddit posts where people ask for n8n help
An n8n agent scrapes recent Reddit posts, stores them in a vector store, and retrieves n8n help requests for the author. Task: Suggested implementation: Build two n8n workflows. The first runs on a schedule, uses an Apify actor to scrape recent posts from selected n8n subreddits, creates embeddings, and stores them in PostgreSQL with pgvector. The second listens in a Telegram chat, sends messages to an AI agent with access to that vector store, and returns results. Human role: Configure subreddits and verify relevance of retrieved posts.; tools: n8n. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include n8n, Apify, PostgreSQL with pgvector, Telegram, and an AI model. The source mentions using Gemini Flash 3.1 Lite due to its high free-tier limits, but this is unverified. Integration uncertainty exists regarding API costs and rate limits. Human approval is required for initial setup and ongoing relevance checks..
Tools
Published on Agent Work Atlas:
Overview
An n8n agent scrapes recent Reddit posts, stores them in a vector store, and retrieves n8n help requests for the author.
Workflow
Suggested implementation: Build two n8n workflows. The first runs on a schedule, uses an Apify actor to scrape recent posts from selected n8n subreddits, creates embeddings, and stores them in PostgreSQL with pgvector. The second listens in a Telegram chat, sends messages to an AI agent with access to that vector store, and returns results. Human role: Configure subreddits and verify relevance of retrieved posts.
Reported result
Actual outcomes are unknown as the source returned a 403 error and no execution evidence is available. Proposed acceptance check: Measure the number of valid n8n help requests identified per day and verify that retrieved posts match user queries.
Human role
The original post does not say how a person stayed involved.
Limitations
Prerequisites include n8n, Apify, PostgreSQL with pgvector, Telegram, and an AI model. The source mentions using Gemini Flash 3.1 Lite due to its high free-tier limits, but this is unverified. Integration uncertainty exists regarding API costs and rate limits. Human approval is required for initial setup and ongoing relevance checks.
Try it
I want to build a Reddit monitoring assistant using n8n. Please guide me through setting up two workflows. First, create a scheduled workflow that uses an Apify actor to scrape recent posts from [replaceable: list of n8n subreddits, e.g., r/n8n, r/automation]. Process these posts to generate embeddings and store them in a PostgreSQL database with the pgvector extension. Second, create a workflow that listens for messages in a Telegram chat [replaceable: Telegram bot token and chat ID]. When a message arrives, send it to an AI agent [replaceable: AI model name, e.g., Gemini Flash] that has access to the vector store to retrieve relevant Reddit posts. Before running the full workflow, perform a dry run with a small sample of 5 posts to verify the embedding and retrieval logic. I will manually confirm the relevance of the retrieved posts before enabling the scheduled scraping. Please provide the n8n JSON workflow structure and configuration steps for each node. If any API keys or specific model parameters are missing, ask me for them before proceeding.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.