This n8n workflow automates the process of scraping the latest articles from TechCrunch. It starts with a manual trigger and makes an HTTP request to the TechCrunch ‘latest’ page, then parses the HTML to extract individual posts. Each post’s detailed information, including images, titles, URLs, and timestamps, is captured by further HTML parsing. The workflow then requests each article’s detail page to extract full content, additional metadata, and images, before saving these values for further use. This setup is ideal for keeping a regularly updated feed of recent tech articles for content curation, research, or news aggregation purposes.
Automated Scraping of Latest TechCrunch Articles
Node Count | 6 – 10 Nodes |
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Nodes Used | html, httpRequest, manualTrigger, set, splitOut |
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