How to Extract Monkeypox Data By Using Web Scraping & Pandas?

Phase 1 - Installing Pandas

In case, you haven't installed pandas – just install it utilizing the command given in the terminal.

pip install pandas

Phase 2 - Start Scraping Monkeypox Data

The code given here extracts data from a page into the CSV file. Observe the explanation given below to know how this code will work.

import pandas as pd

url = 'https://www.Monkeypox.global.health/'

df_list = pd.read_html(url)

Monkeypox = df_list[0]

Monkeypox.to_csv('Monkeypox.csv')

In the initial line - we have introduced the pandas’ library. Then, we are instructing the scraper about the table or data we wish to extract is at the URL https://www.Monkeypox.global.health/.

The line that comes after that is the most significant. We're instructing the pandas’ library for using the read_html task to get tables on a webpage. read_html() yields the list having data frames about all the accessible tables on a page.

Here, only a single table is there; the initial element given on a list would have Monkeypox data. We retrieve it using an index in the given code link.

Monkeypox = df_list[0]

The following step is converting data into the CSV file, as well as we use the to_csv function for converting Monkeypox data frames into the CSV file.

Monkeypox.to_csv('Monkeypox.csv')

And hurrah…we have done it! That’s how we scrape tabular data from the webpage in the CSV having only five lines of code as well as under one minute.

In this blog, we've discussed how to utilize Python as well as pandas for scraping Monkeypox data from a Global Health site. We've presented you how to use web scraping, which tools to utilize, and how to format code as well as scrape the right data.

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