Extract & Decode Google News RSS to Clean Article Links
Fetches Google News RSS feeds, decodes encoded URLs with tracking params, and outputs clean direct links for seamless processing and analysis.
This n8n workflow automates the extraction and cleaning of Google News RSS feeds by fetching articles based on language and country parameters, limiting results to manage API usage, extracting encoded URLs, decoding them to remove tracking parameters, stripping unwanted characters, and aggregating clean, usable links.
It solves the common issue of Google News providing URLs cluttered with tracking data, making them hard to process in automated systems. Benefits include time savings for developers and journalists, reliable clean data for further automation, reduced errors in downstream tasks like scraping or analysis, and scalability for high-volume news aggregation.
Ideal use cases: Content aggregators building news pipelines, financial analysts monitoring market news (customize RSS params for finance topics), journalists curating stories, or AI systems summarizing articles. Easily extend with HTTP requests for full content, AI classification, or publishing to CMS like WordPress.
Setup is simple: Adjust 'hl' (language) and 'gl' (country) in the RSS node, set result limits, and activate. Customization options include adding nodes for article text extraction, categorization via AI, or storage in databases.
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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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