Chrome extension for web tables
Turn web tables into clean, usable data.
Detect the table on the page, clean it in a focused preview, and export it in the format your workflow actually needs: CSV, TSV, Markdown, HTML, or JSON.
Built for pricing tables, comparison grids, docs tables, dashboards, research pages, and spreadsheet handoff workflows. Local-first. No account required.
Local-firstPreview before exportExcel, Sheets, Notion, Airtable
Built for the tables people actually deal with.
TableSnap is aimed at messy browser reality: pricing pages, comparison matrices, docs tables, dashboards, research pages, and multi-table workflows.
Pricing and comparison tables
Capture plan matrices, benefit comparisons, and feature grids without rebuilding them row by row in a spreadsheet.
Documentation and README tables
Turn docs tables into Markdown or clean HTML when the destination is a changelog, an internal doc, or a product note.
Research and operations workflows
Collect related tables, merge them, normalize the columns, and keep one clean export surface for the next step.
What's new
Current release v0.1.0
Released May 19, 2026. This release sharpens messy table detection, full-window preview editing, export presets, and multi-table collection workflows.
Three moves from page to usable data.
TableSnap keeps the workflow compact: detect the table on the page, clean the extracted structure in preview, and export in the format your destination expects.
01
Open the page
Detect tables on pricing pages, docs, dashboards, research pages, and supported comparison layouts directly in Chrome.
02
Preview and adjust
Review headers, remove duplicate or empty rows, reorder columns, merge captures, and tune the output before export.
03
Copy or download
Send the result to Excel, Google Sheets, Notion, Airtable, Markdown docs, or JSON-based automation without rebuilding the table by hand.
What TableSnap handles.
It is not just a one-click copier. It is a compact browser workflow for turning web tables into data you can actually use.
D
Detect messy table patterns
Find semantic HTML tables, ARIA grids, and supported layout-based comparison tables without switching tabs or opening devtools.
P
Preview and clean before export
Review headers, remove duplicates, trim whitespace, hide noisy rows, and shape the output before anything reaches your clipboard.
F
Export for the destination
Copy or download CSV, TSV, Markdown, HTML, or JSON with presets tuned for Excel, Google Sheets, Notion, and Airtable workflows.
M
Merge and reuse workflows
Collect multiple tables, capture paginated lists, merge related blocks, and save site-specific recipes for repeated work.
CSVTSVMarkdownHTMLJSONExcelSheetsNotionAirtable
Built for search and answer-engine discovery.
The site structure, content, and query framing are tuned around clear user intent: copying tables from websites into clean, reusable formats for spreadsheet, documentation, and research workflows.
Q
Query coverage that matches real intent
Built around the phrases people actually search for: copy table from website, HTML table to CSV, pricing table to Excel, and table to Markdown.
C
Content that speaks to use cases
The site, blog, and FAQ focus on pricing tables, comparison grids, docs tables, research tables, and spreadsheet handoff workflows.
G
Readable for answer engines too
Clear headings, structured FAQ content, blog articles, changelog history, and machine-readable metadata help search and generative systems understand the product.
T
Tight topical surface
Instead of vague data-scraping claims, TableSnap is positioned around one narrow promise: copy web tables cleanly and make them usable fast.
Privacy posture
Your table workflow stays local.
TableSnap is built for browser-local table extraction. It does not require an account, a hosted backend, or a remote data pipeline just to copy a table from a page into your tools.
Export presets, table collections, and site-specific rules live in browser storage, not in a TableSnap cloud account.
TableSnap works on the pages you open and choose to inspect so it can read the DOM and extract the tables you want.
Detect, preview, merge, and export web tables without signing in or routing your table data through a hosted service.
FAQ for spreadsheet, docs, and research workflows.
Short answers for Chrome Web Store reviewers, analysts, marketers, researchers, and teams deciding whether TableSnap fits their table-capture workflow.
What kinds of tables can TableSnap copy?
TableSnap is built for semantic HTML tables, ARIA grids, pricing tables, comparison tables, documentation tables, and supported custom table-like layouts.
Can TableSnap copy a table directly to Excel or Google Sheets?
Yes. CSV and TSV exports are designed for spreadsheet workflows, and the preview lets you clean the structure before you paste or download.
Can I export a web table as Markdown?
Yes. TableSnap can convert a table on a page into Markdown, which is useful for README files, product docs, release notes, and Notion pages.
Does TableSnap work only on perfect HTML tables?
No. It also supports many real-world cases like ARIA grids and supported comparison layouts that are not marked up as textbook tables.
Can I edit the extracted table before export?
Yes. The preview lets you filter rows, edit cells, reorder rows and columns, add rows and columns, remove duplicates, and apply simple transforms before export.
Can TableSnap merge several tables together?
Yes. You can collect multiple related tables, reorder the sources, map headers, and merge them into one preview before copying or downloading.
Does TableSnap upload my table data to a server?
No. TableSnap is designed as a local-first browser tool. Settings and table workflows stay in the browser, and table content is not sent to a remote backend.
Why does TableSnap need page access?
It needs access to the pages you choose so it can read the DOM, detect tables, highlight them, and extract their visible content for preview and export.
Can TableSnap help with paginated tables?
Yes. You can capture the current page, move to the next page, and build a collection that can later be merged and exported as one structured result.
Who is TableSnap for?
It is useful for analysts, marketers, SEOs, researchers, ecommerce teams, product managers, students, and anyone who regularly moves structured data from websites into docs or spreadsheets.
Built for the moment when the table has to leave the browser.
Use TableSnap when you need to move structured data from a webpage into a spreadsheet, doc, database, or automation workflow without rebuilding the table by hand.