Start Your Project with Us

Whatever your project size is, we will handle it well with all the standards fulfilled! We are here to give 100% satisfaction.

  • Any feature, you ask, we develop
  • 24x7 support worldwide
  • Real-time performance dashboard
  • Complete transparency
  • Dedicated account manager
  • Customized solutions to fulfill data scraping goals
Careers

For job seekers, please visit our Career Page or send your resume to hr@actowizsolutions.com.

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

While scraping web data, many cases are there while you want to scrape tabular data from websites. The normal way of going is writing a web data scraper. using Selenium, Scrapy, Python, Beautifulsoup, and more.

However, one easy way of getting tabular data from web pages using Pandas is there and you can do it within one minute and Python code of five lines.

In the example, we would work with available Monkeypox data here. Luckily, there is merely one table on this website having Monkeypox infection data. Here, the point is that our technique will work irrespective of how many tables are given on a page.

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.

Web scraping is an excellent way of saving money and time in the business through automating jobs, which would else take days or hours to complete manually. With Actowiz Solution's expertise in data scraping at a huge scale, we can assist you to get and run the finest web scraping services for your requirements.

Contact Actowiz Solutions for all your web data scraping requirements today!

RECENT BLOGS

View More

How to Scrape Jewelry Websites Data USA & Canada?

Scrape jewelry websites data in USA & Canada efficiently using web scraping tools for valuable market insights.

How to Scrape Google Shopping Data, Google Maps Data, and Google Search Results Data?

Learn how to efficiently scrape Google Shopping, Google Maps, and Google Search Results data using advanced web scraping techniques.

RESEARCH AND REPORTS

View More

Actowiz Solutions Growth Report

Actowiz Solutions: Empowering Growth Through Innovative Solutions. Discover our latest achievements and milestones in our growth report.

Analysis of Trulia Housing Data

Comprehensive research report analyzing trends and insights from Trulia housing data for informed decision-making in real estate.

Case Studies

View More

Case Study - Revolutionizing Medical Price Comparison with Actowiz Solutions

Revolutionizing healthcare with Actowiz Solutions' advanced medical data scraping and price comparison, ensuring transparency and cost savings for patients.

Case Study - Empowering Price Integrity with Actowiz Solutions' MAP Monitoring Tools

This case study shows how Actowiz Solutions' tools facilitated proactive MAP violation prevention, safeguarding ABC Electronics' brand reputation and value.

Infographics

View More

Maximize Growth with Price Sensitivity and Price Matching in 2024

Maximize growth in 2024 with insights on price sensitivity, price matching, price scraping, and effective pricing data collection techniques.

Unleash the power of e-commerce data scraping

Leverage the power of e-commerce data scraping to access valuable insights for informed decisions and strategic growth. Maximize your competitive advantage by unlocking crucial information and staying ahead in the dynamic world of online commerce.