What this site is
- - One product with two linked tools: Crawl and Chart.
- - Public web data in, chart-ready rows out.
- - Support, ownership, and policy links stay visible site-wide.
Focused product | Public data only
DataVizForge
Extract public tables and turn spreadsheets into charts.
DataVizForge focuses on two jobs: Crawl fetches a public URL and extracts structured rows, then Chart turns spreadsheet data or crawl results into clean visuals you can export.
The goal is practical workflow. Inspect the source rows, choose a chart type, and understand the limits before you publish anything downstream.
Before you start
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Crawl
Fetch a public page on demand and extract tables, lists, and JSON-LD into rows you can review or send to Chart.
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Chart
Read .xlsx/.xls data in the browser, map columns, preview 12 chart styles, and export clean image files.
Operator and support
- - Built and maintained by Shen.
- - Questions and corrections go to sapsap@qq.com.
- - The transparency, privacy, and terms pages explain the boundaries.
Good fits
- - Public pricing, catalog, or comparison pages with real structure.
- - Spreadsheet columns that need a quick visual for a report or deck.
- - One-off extraction and charting instead of ongoing scraping.
Current limits
- - No login-only pages, private networks, or anti-bot workarounds.
- - Chart reads the first worksheet and exports image files.
- - Rows should always be reviewed before you reuse or publish them.
Crawl
Fetch a public page on demand and extract tables, lists, and JSON-LD into rows you can review or send to Chart.
- - Public HTTP or HTTPS URL input
- - Extracts HTML tables, JSON-LD, and lists with at least three items
- - Lets you preview rows and send the first result into Chart
Best when the source data already lives on a public web page.
Open CrawlChart
Read .xlsx/.xls data in the browser, map columns, preview 12 chart styles, and export clean image files.
- - Reads the first worksheet of an .xlsx or .xls file in your browser
- - Lets you map category and value columns before rendering
- - Exports PNG, JPG, SVG, or WebP, or copies the image to your clipboard
Best when you already have spreadsheet columns and need a fast visual.
Open ChartWorkflow
Two tools, one clear path from rows to visuals.
Start with Crawl when the data is already published on a page, or skip straight to Chart when you already have an Excel sheet. Either way, the site keeps the flow centered on reviewing structured rows before you export the result.
Inspect
Check the extracted or uploaded rows before you trust the output.
Visualize
Try the chart styles that fit the column types you actually have.
Export
Download an image file or copy the chart into your document or deck.
Trust and support
Know who runs the site and how to reach them.
DataVizForge is run by Shen, and the support inbox, privacy policy, terms, FAQ, and transparency page are linked directly from the default homepage.
Independent operator: Builds, writes, and maintains DataVizForge.
Support inbox: sapsap@qq.com
Most support and correction requests are answered on the next business day.
About
Who runs DataVizForge, what it does, and how the two tools fit together.
Transparency
How pages are written, checked, corrected, and kept aligned with the product.
FAQ
Inputs, outputs, data handling, supported formats, and known limits.
Contact
One inbox for support, corrections, privacy questions, and product issues.
Privacy
What stays in your browser, what the server fetches, and which logs may exist.
Terms
Rules for lawful use, public-source crawling, and output verification.
How the tools work
What Crawl does
Crawl fetches the public URL you submit on demand and looks for HTML tables, JSON-LD blocks, and long-form lists. When it finds usable structure, the app shows a preview so you can judge the rows before charting them.
It is built for quick extraction and review, not unattended bulk scraping. Pages behind logins, aggressive bot protection, or very large responses may fail or return no structured rows.
Current Crawl outputs
- - HTML tables
- - JSON-LD blocks
- - Lists with at least three items
- - First result can move directly into Chart
What Chart does
Chart reads the first worksheet of an .xlsx or .xls file in your browser. It suggests category and value columns, lets you switch chart styles, and renders a live preview with your current theme.
You can also send the first Crawl result into Chart without reformatting the rows manually. Exports are image-first: PNG, JPG, SVG, WebP, or copy to the clipboard.
Available chart styles
Vertical barHorizontal barLineAreaPieDoughnutRadarScatterStacked barComposedFunnelRadial bar
Example workflows
Compare public tables
- 1. Paste a public pricing or catalog page into Crawl.
- 2. Review the extracted table rows and column names.
- 3. Send the first result into Chart and compare categories with a bar chart.
Works best when the page exposes a real HTML table.
Turn product schema into a quick chart
- 1. Use Crawl on a page that exposes JSON-LD product or article data.
- 2. Inspect the parsed keys before charting anything.
- 3. Use Chart to visualize one or two numeric fields for a quick report graphic.
Useful when the page ships structured metadata even if the visible design is dense.
Visualize a spreadsheet for a deck or memo
- 1. Upload an .xlsx or .xls file directly into Chart.
- 2. Pick the category column and the value columns that matter.
- 3. Export a clean image file for slides, docs, or internal notes.
Chart reads the first worksheet, so move the final table there first.
Limits to know before you rely on it
- - Crawl supports public HTTP and HTTPS pages only. Private networks, login walls, and many anti-bot pages are out of scope.
- - Very large pages, pages with no usable HTML table or JSON-LD, and pages that rely on unusual rendering can return no data.
- - Chart reads the first worksheet of an .xlsx or .xls file. If your source data lives on another sheet, move or copy it first.
- - Exports are image files or clipboard output. The product is not a collaborative dashboard, storage layer, or long-running scraper.
Responsible data use
- - Only crawl pages that you are allowed to access and process.
- - Avoid using the service for personal, private, or confidential data unless you have a lawful reason and understand the risks.
- - Review extracted rows before charting or publishing them. Parsers can miss context, duplicate headers, or units.
- - Keep a copy of your original source material. DataVizForge helps summarize data, but it does not replace source verification.
Questions about policy or source handling: sapsap@qq.com