Ticketmaster Event Data Scraper
Developed a sophisticated data extraction solution to programmatically retrieve event data from a non-public or "random" API endpoint of Ticketmaster.com. This project demonstrates advanced web scraping techniques, including direct API interaction, data parsing, and efficient organization of unstructured JSON (or similar API response) into a structured tabular format.
About Me
I’m a Python developer with 2 years of hands-on experience specializing in web scraping, data extraction, and automation. I have worked on multiple projects across diverse domains including e-commerce, real estate, job portals, social media, and financial websites. My expertise lies in using libraries like BeautifulSoup, Selenium, Scrapy, Requests, and Pandas to build robust, scalable scraping solutions. I’m skilled in handling dynamic content, login/authenticated scraping, data cleaning, and exporting data to structured formats like CSV, JSON, and databases. I take pride in writing clean, efficient code and building scripts that save time, automate workflows, and deliver real-time insights. Whether it’s a one-time data dump or a full-scale scraping pipeline with scheduling and monitoring, I can help bring your data needs to life.
$ 25 USD/hr
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