Need to get data from a website into your spreadsheet? There are dozens of ways to do it, from simple copy-pasting to advanced Python scripts. This guide compares the 4 most popular methods so you can choose the best one for your needs.
Comparison Summary
| Method | Difficulty | Best For | Dynamic Sites? |
|---|---|---|---|
| Browser Extension | âââââ (Easiest) | Daily use, non-techies | ✅ Yes |
| Excel "From Web" | âââ (Medium) | Recurring reports | ⌠No |
| Google Sheets | âââ (Medium) | Simple, public tables | ⌠No |
| Python (Pandas) | â (Hard) | Bulk scraping | âš ï¸ Complex |
Method 1: Browser Extension (Recommended)
For most users, a Chrome extension is the fastest and most reliable method. It works exactly like you'd expect: find a table, click download.
How to use "Table to Excel"
- Install Table to Excel from the Chrome Web Store.
- Hover your mouse over any table on any website.
- Detailed export buttons will appear.
- Click Excel or CSV to download immediately.
Pros: Works on dynamic (React/Vue) sites, requires no setup, handles large
tables.
Cons: Requires Chrome-based browser (Chrome, Edge, Brave).
Method 2: Excel "Get Data From Web"
Microsof Excel has a built-in scraper.
- Open Excel.
- Go to the Data tab.
- Click From Web.
- Paste the URL of the website.
- Select the table from the list found by Excel.
Pros: Built-in to Excel, can be refreshed.
Cons: Breaks easily on modern websites that require login or JavaScript. Often
fails to find the table.
Method 3: Google Sheets IMPORTHTML
Google Sheets has a magic function for fetching tables.
=IMPORTHTML("https://en.wikipedia.org/wiki/List_of_countries", "table", 1)
Pros: Cloud-based, live updating.
Cons: Only works on public, static HTML pages. Unable to scrape data behind
logins or generated by JavaScript.
Method 4: Python Pandas
For data scientists, the read_html() function is legendary.
import pandas as pd
dfs = pd.read_html('https://example.com/data.html')
dfs[0].to_csv('data.csv')
Pros: Powerful, scriptable, infinite scale.
Cons: Requires coding skills. Often gets blocked by anti-bot protections.
Which one should you choose?
- 👉 Use the Extension if you just want the file now without hassle.
- 👉 Use Excel if you need a recurring report on a corporate intranet.
- 👉 Use Python if you are scraping 1,000+ pages.
Try the Easiest Method First
Download any table in seconds with our free tool.
â¬‡ï¸ Table to Excel (Free)