Block 1 - Filter New Tweets
- Type / Role
- n8n-nodes-base.filter - filter
- Config choices
- Version 2.2
This workflow is provided as-is. Please review and test before using in production.
This workflow automates the process of monitoring Twitter accounts for intelligence gathering. It fetches new tweets from specified accounts via RSS, uses a powerful AI model (Google Gemini) to ana...
n8n-nodes-base.filter, n8n-nodes-base.postgres, @n8n/n8n-nodes-langchain.googlegemini, n8n-nodes-base.code, n8n-nodes-base.if, n8n-nodes-base.rssfeedread, n8n-nodes-base.telegram, n8n-nodes-base.scheduletrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by jellyfish.
Original n8n.io sourceThis workflow automates the process of monitoring Twitter accounts for intelligence gathering. It fetches new tweets from specified accounts via RSS, uses a powerful AI model (Google Gemini) to analyze the content based on your custom prompts, and sends formatted alerts to a Telegram chat for high-priority findings.
Key Features:
Scheduled Execution: Runs automatically at your desired interval.
Dynamic Configuration: Manage which Twitter accounts to follow and what AI prompts to use directly from a Postgres database.
AI-Powered Analysis: Leverages Google Gemini to extract summaries, keywords, and assign an importance level to each tweet.
Duplicate Prevention: Keeps track of the last processed tweet to ensure you only get new updates.
Customizable Alerts: Sends well-structured and easy-to-read notifications to Telegram.
Setup Required:
Postgres Database: Set up a table to store your configuration (see the Sticky Note in the workflow for the required schema).
RSSHub: You need access to an RSSHub instance to convert Twitter user timelines into RSS feeds.
Credentials: Add your credentials for Postgres, Google AI (Gemini), and your Telegram Bot in n8n.
Configuration: Update the placeholder values in the RSS and Telegram nodes (e.g., your RSSHub URL, your Telegram Chat ID).
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.
| Workflow | Monitor Twitter accounts & generate intelligence summaries with Gemini AI & Telegram |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | Market Research, Multimodal AI |
| Author | jellyfish |
| Published | 13 Aug 2025 |
Use the JSON export at /data/workflows/7316/7316.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
This workflow automates the process of monitoring Twitter accounts for intelligence gathering. It fetches new tweets from specified accounts via RSS, uses a powerful AI model (Google Gemini) to ana...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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 Market Research, Multimodal AI use case.