A browser extension to export tables to CSV, JSON and Markdown

Hacker News

Hi HN, I made a browser addon called Website Table Exporter for Firefox and Chrome. It lets you export any HTML table on a page to CSV, JSON and Markdown, straight to your clipboard with one click. Why? Because copying tables from websites is surprisingly annoying. I kept running into mangled formatting or weird extra markup when trying to grab data for research or personal use. So I built something small, open, and fully client-side. No tracking, no network calls, no nonsense. Features: - Export any HTML table to CSV, JSON or Markdown. - One-click export via a small button in the first cell of each table. - Automatically strips inner HTML tags. - Warns if the table has merged cells (which can mess up the output). - 100% local, no telemetry, no ads. How to use it: Install the addon, visit any page with a table, and click the little button that appears in the top-left cell. You can toggle the export buttons visibility clicking the addon button on browser's top bar. Links: - Source on GitHub: https://github.com/llagerlof/websitetableexporter - Firefox Add-on: https://addons.mozilla.org/firefox/addon/website-table-expor... Would love any feedback, ideas, or bug reports. Thanks!

Visit product View on Hacker NewsJul 28, 2025

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

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

25%25% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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