Extract & Transform HackerNews Data to Google Docs with Gemini
Automates scraping trending HackerNews posts, transforms raw threads into readable insights using Gemini AI, and exports to formatted Google Docs for easy sharing.
This n8n workflow extracts the latest trending discussions from the HackerNews API, loops through each post to fetch detailed thread data via HTTP requests, and leverages Google Gemini 2.0 Flash to generate human-readable summaries and insights. The enriched content is then formatted and exported directly into a Google Doc, ready for newsletters, reports, or archiving.
Benefits include significant time savings for monitoring tech trends without manual scraping or summarization, ensuring consistent high-quality output powered by AI. It handles multiple posts in a single run, scales effortlessly, and integrates seamlessly with popular tools, reducing the effort from hours to minutes.
Ideal for tech newsletter writers automating weekly digests, content creators sourcing blog ideas, startup founders tracking competitor buzz, investors spotting early signals, researchers analyzing trends, and agencies delivering tech insight reports. No coding required—deploy instantly in n8n.
Key tools: HackerNews API for data, Google Gemini for AI transformation, Google Docs for export, all orchestrated by n8n.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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