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Developer Builds Open-Source Product Hunt Scraper for Real-Time Launch Tracking

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A developer has built and open-sourced a Product Hunt scraper that extracts structured data from new product launches, including names, taglines, upvotes, topics, makers, and media. The tool supports multiple data-collection strategies such as Atom feed parsing, topic page browsing, keyword search, and direct URL scraping. Built in Python using httpx and BeautifulSoup4, it uses concurrent fetching to efficiently handle large volumes of products. The scraper is deployed on Apify and also powers a REST API available on RapidAPI, making it accessible without self-hosting. The creator, who maintains a broader portfolio of content extraction tools, says use cases include lead generation, market research, trend analysis, and automated newsletter creation.

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