Web Scraping/Table Extraction
📊Table ScrapingSmart Table Detection

Extract Tables from Any Website

Pull tables from Wikipedia, financial sites, sports stats — AI detects and extracts table data directly into your spreadsheet.

table-scraper.gsheet
ABC
1URLFormulaTable Data
2wikipedia.org/wiki/Countries
3finance.yahoo.com/stock=AI_SCRAPE(A3, "price table")[[Date, Open, Close, Volume]...]
4sports.com/standings=AI_SCRAPE(A4, "league table")[[Team, W, L, Pts]...]
Features

Smart table extraction that just works

AI detects tables and preserves their structure automatically.

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Smart Detection

AI automatically identifies tables on any webpage.

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Preserve Structure

Headers, rows, columns — all mapped correctly to your sheet.

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Any Source

Wikipedia, finance sites, sports data, government portals.

Clean Data

Removes formatting, scripts, and noise automatically.

Bulk Extraction

Extract multiple tables from multiple pages at once.

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Auto Formatting

Numbers, dates, and currencies formatted correctly.

Examples

Table extraction in action

See how AI extracts tables while preserving structure.

FinanceStock Data Tables
Formula
=AI_SCRAPE(A2, "extract stock price history table")
Source
finance.yahoo.com/quote/AAPL/history
Extracted Table
Date | Open | High | Low | Close | Volume 2025-01-15 | 185.20 | 187.50 | 184.80 | 186.90 | 52M 2025-01-14 | 183.50 | 185.30 | 183.00 | 185.20 | 48M
SportsLeague Standings
Formula
=AI_SCRAPE(A2, "extract league standings table")
Source
espn.com/nba/standings
Extracted Table
Team | W | L | PCT | GB Boston | 32 | 10 | .762 | - Milwaukee | 28 | 13 | .683 | 3.5
ReferenceWikipedia Tables
Formula
=AI_SCRAPE(A2, "extract data table")
Source
wikipedia.org/wiki/List_of_countries
Extracted Table
Country | Population | Area | GDP China | 1.4B | 9.6M km² | $17.7T India | 1.4B | 3.3M km² | $3.2T
E-commerceProduct Comparison
Formula
=AI_SCRAPE(A2, "product comparison table")
Source
bestbuy.com/compare/laptops
Extracted Table
Model | Price | RAM | Storage | Rating MacBook Pro | $1,999 | 16GB | 512GB | 4.8 Dell XPS 15 | $1,499 | 16GB | 512GB | 4.6
ResearchData Tables
Formula
=AI_SCRAPE(A2, "extract research data table")
Source
statista.com/statistics/123
Extracted Table
Year | Value | Growth 2024 | $5.2B | +12% 2023 | $4.6B | +15%
TravelFlight Prices
Formula
=AI_SCRAPE(A2, "flight price table")
Source
kayak.com/flights/NYC-LAX
Extracted Table
Airline | Depart | Arrive | Price Delta | 8:00 AM | 11:30 AM | $299 United | 9:15 AM | 12:45 PM | $279
FAQ

Frequently Asked Questions

Any HTML table from Wikipedia, financial sites, sports stats, government data, or any webpage. AI detects tables even if they're styled unconventionally.

Yes! Headers, rows, and columns are preserved exactly as they appear. Multi-row headers and merged cells are handled intelligently.

Yes, specify which table by index (first, second, etc.) or let AI choose the most relevant table based on your description.

You'll need to scrape each page separately. Put page URLs in a column and combine the results for complete datasets.

The function extracts raw table data. Use standard spreadsheet functions like FILTER, QUERY, or ARRAYFORMULA to transform it.

Ready to extract tables from the web?

Pull structured table data into your spreadsheet.

Wikipedia, finance, sports — any table, any site.

No credit card required • Smart detection • Structure preserved