Pricing

from $0.50 / 1,000 results

Wikipedia Data Scraper

Extract structured data from Wikipedia tables as clean JSON. Supports any Wikipedia language. Great for AI training data and research.

Pricing

from $0.50 / 1,000 results

Rating

0.0

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Developer

Muhammad Naufal

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Monthly active users

a day ago

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📗 Wikipedia Data Scraper

Extract structured data from Wikipedia tables. Clean JSON output — no HTML, no parsing needed.

What it does

Give it a Wikipedia URL, and it returns the data from any wikitable as structured JSON. Great for AI training data, research, datasets, and reference material.

Input

Field	Type	Default	Description
`pageUrl`	string	`List of largest companies`	Full Wikipedia URL
`tableIndex`	integer	`0`	Which table on the page (0 = first)
`maxResults`	integer	`20`	Max rows to return

Output

{
  "page": "https://en.wikipedia.org/wiki/...",
  "title": "List of largest companies by revenue - Wikipedia",
  "count": 15,
  "rows": [
    {
      "col0": "1",
      "col1": "Walmart",
      "col2": "United States"
    }
  ]
}

(Clean column names coming soon — currently col0, col1, etc.)

Use cases

📚 Build datasets for ML/AI training
🔬 Research — extract stats, demographics, historical data
📊 Power dashboards and analytics
📰 Enrich content with structured reference data

Pricing

$0.001 per result (each row in the table). Roughly $1 per 1,000 rows.

How to use

Open Wikipedia and find a page with a table
Copy the URL
Paste it here, pick the table number if there's more than one
Run — get clean JSON

Supports any Wikipedia language (en.wikipedia.org, de.wikipedia.org, id.wikipedia.org, etc.)

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