Oluwanifemi109/web-scraping-largest-companies-wikipedia
Domain:
socioeconomicRecord type:
dataset
Creator:
Olu
Host:
Web scraping project extracting the latest rankings of the world's largest technology companies and Africa's largest companies by revenue from Wikipedia using Python (BeautifulSoup + pandas). Includes clean Jupyter notebooks, exported CSV datasets, and reproducible code. Data as of November 2025.
# 💻 Web Scraping: Largest Companies Rankings from Wikipedia
---
This repository contains two simple, well-documented Jupyter notebooks that scrape and clean publicly available rankings from Wikipedia:
1. **Top Technology Companies by Revenue**
Source: en.wikipedia.org
(2024 fiscal year data, accessed November 2025)
2. **Africa's Largest Companies by Revenue**
Source: en.wikipedia.org
(latest available data, accessed November 2025)
---
The notebooks use only `requests` and `BeautifulSoup` for scraping and `pandas` for cleaning/exporting.
## 🗃️ Output Files
Cleaned datasets are saved in the `/data` folder:
- `top_tech_companies_by_revenue_2025.csv`
- `africa_largest_companies_by_revenue_2025.csv`
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