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Automation Scraping Web Scraping

Case Study: Real-Time Bitcoin Price Tracking for Top Crypto Currencies

The Challenge

Our client, a fintech analytics company, wanted to monitor live Bitcoin prices and other top cryptocurrencies every hour. They also had a custom algorithm to rank cryptocurrencies, and only the top 50 according to this ranking needed to be tracked.

Manual tracking was inefficient due to:

  • Hundreds of coins and constant price fluctuations.
  • Dynamic web pages with data loading via JavaScript.
  • The need for secure login to access certain data sources.

The goal was to automate hourly price collection, filter by the client’s ranking criteria, and store the data in a structured, usable format.

Hurdles We Faced

  • Dynamic Web Pages: Cryptocurrency prices were loaded dynamically, making simple HTML parsing insufficient.
  • Frequent Updates: Prices change every second, so data had to be collected efficiently without missing updates.
  • Anti-Bot Measures: CoinMarketCap and other platforms implement throttling and bot detection.
  • Custom Ranking Integration: Only coins meeting the client’s specific algorithm criteria were relevant.

Our Step-by-Step Approach

  1. Requirement Analysis:
    Determined key data points for each cryptocurrency: coin name, price, market cap, and rank according to the client’s algorithm.
  2. Custom Scraping Scripts:
    Developed Python scripts using Selenium and API integration (where possible) to fetch real-time prices for Bitcoin and other top cryptocurrencies.
  3. Handling Anti-Bot Measures:
    Implemented techniques such as rotating proxies, randomized intervals, and automated retries to avoid detection and maintain uninterrupted data collection.
  4. Login Automation Plugin:
    Built a custom plugin to automate login for sources requiring authentication, ensuring secure and reliable access to data.
  5. Data Cleaning & Standardization:
    Converted scraped data into a uniform structure, including the client’s custom ranking, making it ready for analysis and reporting.
  6. Database Integration:
    Aggregated hourly price data into a central database, enabling the client to visualize trends, generate reports, and make informed decisions.

Results & Impact

  • Successfully tracked Bitcoin and other top cryptocurrencies hourly with high accuracy.
  • Reduced manual monitoring effort from hours each day to a fully automated solution.
  • Provided a centralized and structured dataset for analysis and strategic decision-making.
  • Built a scalable system that can easily include new cryptocurrencies or changes in ranking criteria.

Our Services & Expertise

At Ascendance Solutions, we specialize in:

  • Web & App Scraping for structured and dynamic content.
  • Automation to streamline repetitive data collection tasks.
  • AI & Data Processing to convert raw data into actionable insights.

Whether you need data from financial platforms, apps, or websites, our team delivers accurate, reliable, and scalable solutions.

📧 Connect with us at connect@ascendancesolutions.com to discuss how we can help your business harness critical cryptocurrency data.

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