PDF Parsing and Ethical Web Scraping

PDF Data Extraction Bot

I undertook the creation of a high-performance, multi-threaded bot designed to extract data from an extensive collection of PDF documents. Each PDF was substantial, containing at least a hundred pages. The challenge was to extract both textual content and convert images within the PDFs into text, ensuring comprehensive data retrieval. Leveraging Python, I designed an automated bot that meticulously converted these PDFs into structured text data.

Furthermore, the bot didn’t stop at data extraction. It dynamically adjusted its variables based on extensive testing to confirm the accuracy and relevance of the extracted data. This project showcased my adeptness in automation, multi-threading, PDF processing, and quality assurance.

Web Scraping with Selenium

In another engaging project for the same client, I executed web scraping with an ethical and permission-granted approach. Utilizing the Selenium framework, I crafted a powerful web scraping solution that efficiently and reliably collected valuable information from websites.

Selenium allowed me to navigate websites, interact with elements, and systematically collect data as per the client’s requirements. This project underscored my proficiency in web scraping, Selenium, and ethical data acquisition.

Together, these projects exemplify my commitment to delivering robust and innovative solutions, showcasing my expertise in automation, data extraction, and web scraping technologies.