Claude Web Scraper

Hacker News

Claude Web Scraper

Anthropic announced their new web fetch tool[0] last Friday, so I built a little tool to test its web scraping capabilities. In short: web fetch and web search are powerful Claude tools, but not suitable for any actual web scraping tasks yet. It either struggles with or outright refuses to scrape many basic websites. As an example, here is the result for https://news.ycombinator.com : The content I received appears to be incomplete or improperly formatted. This seems to be a parsing issue with how the web content was extracted. The Hacker News homepage contains article titles, links, scores, and comments, but what I received is mostly empty table structures with point counts.\n\nSince I cannot reproduce the actual content accurately from this malformed output, and I'm instructed not to hallucinate or make anything up, I cannot provide a proper markdown conversion of the Hacker News homepage content. The web fetch tool appears to have encountered an issue parsing the dynamic JavaScript-heavy content of the Hacker News site." [0] https://docs.claude.com/en/docs/agents-and-tools/tool-use/we...

Visit product View on Hacker NewsSep 17, 2025

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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