App Tutorial

Web Scrape CoinMarketCap Easily: Python & No-Code (6 Steps)

author
Jason Gong
App automation expert
Apps used
Scraper
LAST UPDATED
April 15, 2024
TL;DR

Web scraping CoinMarketCap can be done using Python libraries like BeautifulSoup and requests, or no-code tools such as Axiom.ai for both programmers and non-programmers. This involves installing necessary packages, selecting data points, and extracting them to a preferred format.

Choosing the right method depends on your technical skills and the specific data you need.

Streamline your cryptocurrency market analysis and portfolio tracking by automating the data extraction process with Bardeen.

How to Web Scrape CoinMarketCap

Web scraping CoinMarketCap involves extracting data from its website for various purposes such as market analysis, tracking cryptocurrency prices, or gathering historical data. This guide covers methods using Python and no-code tools, catering to both programmers and non-programmers.

Automate your CoinMarketCap data extraction and integrate it seamlessly into your workflow with Bardeen. Perfect for cryptocurrency market analysis, portfolio tracking, and more.

Python Scrape CoinMarketCap

Python is a popular choice for web scraping due to its powerful libraries. To scrape CoinMarketCap using Python, you'll primarily need BeautifulSoup and requests libraries.

  1. Ensure Python is installed on your system.
  2. Install necessary Python packages using pip:

'sudo pip install beautifulsoup4'
'sudo pip install requests'

These commands install BeautifulSoup for parsing HTML and requests for making HTTP requests to CoinMarketCap's website.

Scrape CoinMarketCap Data

After setting up your environment, you can start scraping data. Here's a simple example to scrape cryptocurrency statistics:

'from bs4 import BeautifulSoup
import requests
page = requests.get("https://coinmarketcap.com/currencies/bitcoin/")
soup = BeautifulSoup(page.content, "html.parser")
stats = soup.find_all("div", class_="statsValue")
for stat in stats:
   print(stat.text)'

This code fetches and prints various statistics like market cap and volume for Bitcoin from CoinMarketCap.

CoinMarketCap Python Scraper

For a more structured approach, consider creating a Python scraper that systematically extracts and stores data. This involves:

  1. Identifying data points you want to scrape.
  2. Using BeautifulSoup to parse HTML and extract these data points.
  3. Saving the data to a CSV file or database for analysis.

Refer to the CoinMarketCapScraper project on GitHub for an example of a comprehensive scraper.

Web Scraping CoinMarketCap

For those who prefer a no-code solution, tools like Axiom.ai offer a user-friendly interface to scrape CoinMarketCap without writing any code. Simply:

  1. Install the Axiom browser extension.
  2. Use the point-and-click interface to select data you wish to scrape.
  3. Configure the scraper to output data to a Google Sheet or CSV file.
  4. Run the scraper to collect data.

This method is particularly useful for users without programming knowledge or those looking for quick data extraction.

Discover Bardeen's no-code scraper tool that integrates with the most popular work apps, making it easier than ever to scrape data from websites like CoinMarketCap. Learn more at Bardeen's no code scraper tool.

Regardless of the method chosen, always ensure your web scraping activities comply with CoinMarketCap's terms of use and respect rate limits to avoid being blocked.

Automate Your CoinMarketCap Data Extraction with Bardeen

Web scraping CoinMarketCap can be manually executed through programming languages like Python or through no-code tools. However, automating this process enhances efficiency, accuracy, and the potential for real-time data analysis. Automation with Bardeen not only streamlines the data extraction from CoinMarketCap but also integrates this data seamlessly into your workflow. This can be particularly useful for cryptocurrency market analysis, portfolio tracking, and setting up alert systems for price changes.

  1. Extract information from websites in Google Sheets using BardeenAI: This playbook simplifies the process of extracting data from CoinMarketCap and directly saving it into Google Sheets. Automating data extraction to Google Sheets facilitates easy access, sharing, and analysis of cryptocurrency market data.
  2. Get pricing information for company websites in Google Sheets using BardeenAI: Tailored to extract pricing data, this playbook can be adapted for scraping cryptocurrency prices and other related financial metrics from CoinMarketCap. It’s especially valuable for price tracking and comparison across different cryptocurrencies.
  3. Get / scrape Google Search results for a keyword and save them to Coda: While focused on Google Search results, this playbook demonstrates Bardeen’s capability to scrape web data based on specific keywords and save them for analysis. This can be utilized to monitor news or social sentiment around specific cryptocurrencies or the market in general.

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