Wikipedia Scraper Chrome Extension

Export Wikipedia tables and lists to Excel in seconds. Works on any article table, list page or category — no coding, no API keys.

Add to Chrome - It's Free

What is the Wikipedia Scraper?

The Wikipedia Scraper by No Code Web Scraper turns Wikipedia pages into clean spreadsheets. Open any article table, list page or category, click the list once, and every row — with table columns, links, images and more — lands in Excel or CSV. No code, no API keys, and your data never leaves the browser.

Every visible Wikipedia field, one column each — captured exactly as shown on the page.

Table ColumnsLinksImagesReferences

How to Scrape Wikipedia Data in 3 Steps

Step 1

Open Wikipedia

Go to any article table — or any Wikipedia page with a list of tables and lists — in Chrome.

Step 2

Click to select the list

Open No Code Web Scraper from the side panel, hover the list and click — every row on the page is detected with all its fields automatically.

Step 3

Export to Excel or CSV

Run the extraction (current page, auto-scroll or pagination) and download every row as a clean spreadsheet.

Who Uses Wikipedia Scraper?

Researchers

Turn any wiki table into a clean dataset.

Data Journalists

Extract rankings and statistics instantly.

Students

Collect structured data for projects.

Analysts

Grab country and company lists without retyping.

Developers

Prototype with real-world datasets.

Frequently Asked Questions

Scraping publicly visible data for personal analysis is generally lawful in the US and EU. The extension only reads what your own browser already displays — nothing is bypassed and no data leaves your machine.

Install the free Chrome extension, open Wikipedia, and click the list you want. Fields are detected automatically and you export to Excel or CSV — no code, no selectors, no API.

Excel (.xlsx), CSV and JSON — ready for spreadsheets, CRMs or scripts.

No API keys and no signup. The extension works on the pages your browser can open, exactly as you see them.

The scraper reads rendered table rows — including links and images inside cells — and exports them as columns.

Yes. The same extension scrapes any site — Wikipedia today, Google Maps, Amazon or your niche directory tomorrow. One tool for every list on the web.