Block 1 - Trigger: Schedule Workflow
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.3
Who’s it for This workflow is designed for Japanese speaking individuals who want to efficiently stay up to date with practical, experience based AI and engineering insights shared by developers on...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.rssfeedread, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.httprequest, n8n-nodes-base.code
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Koyanagi Naoyuki.
Original n8n.io sourceThis workflow is designed for Japanese-speaking individuals who want to efficiently stay up to date with practical, experience-based AI and engineering insights shared by developers on platforms like Qiita and note.
It specifically targets users who prefer real-world knowledge such as implementation examples, troubleshooting solutions, and hands-on AI use cases written in Japanese, rather than generalized global IT news or curated media content.
The workflow is optimized for those who want to quickly consume high-quality Japanese technical content on a daily basis.
This workflow collects, processes, and summarizes Japanese AI and engineering-related articles published within the last 24 hours from Qiita and note RSS feeds.
It merges multiple RSS sources, filters only recent articles (last 24 hours), and prepares structured data for AI processing.
Then, it uses AI to evaluate and rank the articles, selects the most valuable ones, retrieves each article page, extracts readable content, and generates structured summaries in Japanese, including:
Finally, it formats the results and sends a daily digest to Slack in Japanese.
Users can also customize RSS sources to match their preferred content.
Add your API credentials in n8n, set the Slack destination channel, review and adjust the AI prompts if needed, and activate the workflow.
You can also customize RSS sources depending on your preferred Japanese content (e.g., specific hashtags, niche blogs, or categories).
You can customize this workflow by:
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.
Showing the first 24 of 25 workflow blocks. Download the JSON for the full node graph.
| Workflow | Summarize Japanese AI engineering articles from Qiita and note RSS to Slack |
|---|---|
| Complexity | advanced |
| Nodes | 25 |
| Categories | Market Research, AI Summarization |
| Author | Koyanagi Naoyuki |
| Published | 10 Apr 2026 |
Use the JSON export at /data/workflows/14980/14980.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.
Who’s it for This workflow is designed for Japanese speaking individuals who want to efficiently stay up to date with practical, experience based AI and engineering insights shared by developers on...
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, AI Summarization use case.