
GauchoGrid HTML Table Exporter
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HTML Table Exporter is a Chrome extension that detects and exports HTML tables from any webpage to CSV, Excel, JSON, NDJSON, or SQL โ with one click.
100% local processing. Your data never leaves your browser. No servers, no uploads, no tracking. Works offline after installation.
The problem it solves: Copy-pasting web tables breaks formatting. Numbers become text, dates get mangled, and you spend hours cleaning data in Excel. HTML Table Exporter fixes the data before you export it.
Free version includes: - CSV, JSON, and Excel export - Automatic table detection - Export all tables as ZIP
PRO features for power users: - NDJSON and SQL export formats - Reusable export profiles (Pandas, DuckDB, BigQuery presets) - Smart data cleaning: normalize numbers, dates, nulls, booleans - Column selection and drag-and-drop reordering - Export history with one-click repeat - Hover preview to see transformations before export
Built for: Data analysts, researchers, consultants, developers, and anyone who regularly extracts table data from websites for analysis in Excel, Google Sheets, Python, or SQL databases.
Pricing: Free forever for basic exports. PRO starts at $19/month or $149/year.
GauchoGrid HTML Table Exporter
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GauchoGrid HTML Table Exporter's answer
100% local processing. Your data never leaves your browser. No servers, no uploads, no tracking. Plus built-in data cleaning and normalization that other extensions don't offer.
GauchoGrid HTML Table Exporter's answer
Privacy-first approach with all processing done locally. The Pro version includes smart data cleaning, reusable export profiles for tools like Pandas and Excel, and column selection; features that save time on repetitive exports.
GauchoGrid HTML Table Exporter's answer
Data analysts, researchers, consultants, and anyone who regularly extracts table data from websites for analysis in Excel, Google Sheets, Python, or SQL databases.
GauchoGrid HTML Table Exporter's answer
Built out of frustration with existing tools that either broke formatting, required coding, or sent data to external servers. I wanted a fast, private, one-click solution that produces clean, analysis-ready data.
GauchoGrid HTML Table Exporter's answer
JavaScript, Chrome Extensions API, and LemonSqueezy for license management. All data processing happens locally in the browser. Only license validation requires external communication.
GauchoGrid HTML Table Exporter's answer
Based on our record, GitHub seems to be a lot more popular than GauchoGrid HTML Table Exporter. While we know about 2473 links to GitHub, we've tracked only 10 mentions of GauchoGrid HTML Table Exporter. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use a browser extension like HTML Table Exporter or copy-paste into a spreadsheet and save as CSV. - Source: dev.to / 6 months ago
Use tools that handle encoding correctly. HTML Table Exporter preserves Unicode throughout the export process, avoiding the conversion errors that cause mojibake. - Source: dev.to / 6 months ago
Tools like HTML Table Exporter detect tables on the page and export directly to CSV or Excel. No code required. - Source: dev.to / 6 months ago
This guide shows how to generate CREATE TABLE and INSERT INTO statements from any web table, handling type inference, identifier sanitization, and proper escaping. This is the approach I use in HTML Table Exporter. - Source: dev.to / 6 months ago
I've collected the five patterns that cause the most issues while building HTML Table Exporter, with detection code and fixes for each. - Source: dev.to / 6 months ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 1 day agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 2 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 2 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 12 days ago
The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 13 days ago
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