Manhar Patel

Senior Python Developer

Apify • Vollzeit

Jan 2024 - Jul 2026 • 2 yrs 6 mos

Worked on Python-based web scraping and automation solutions, focusing on extracting structured data from websites, automating browser workflows, and building reliable data-processing pipelines. Responsibilities & Achievements Developed web scraping solutions using Python, Selenium, BeautifulSoup, Requests, and Pandas. Built browser automation workflows for dynamic and JavaScript-rendered websites. Created scraping scripts capable of handling pagination, infinite scrolling, filters, forms, and dynamically loaded content. Designed reusable scraping components to simplify development across different website structures. Implemented robust error handling, retries, timeouts, and logging to improve scraper stability. Extracted and transformed unstructured web information into clean, structured datasets. Used Pandas for data cleaning, deduplication, validation, transformation, and CSV/Excel exports. Troubleshot Selenium issues involving dynamic elements, stale element references, synchronization, and changing page layouts. Automated repetitive research and data-collection processes to reduce manual work. Worked with APIs and web-based data sources where appropriate to complement browser-based extraction. Focused on writing maintainable Python code that could be adapted to changing scraping requirements. Key Skills Python · Selenium · Web Scraping · Web Automation · BeautifulSoup · Requests · Pandas · Data Extraction · Data Cleaning · API Integration · HTML/CSS · XPath · Dynamic Websites · Browser Automation · Error Handling

Senior Python Developer

Apollo • Vollzeit

Dec 2019 - Dec 2023 • 4 yrs

Worked on Python-based web data collection and browser automation projects, focusing on extracting, processing, and organizing structured information from dynamic websites. Responsibilities & Achievements Developed Python web-scraping solutions using Selenium, Requests, BeautifulSoup, and Pandas. Automated data collection from dynamic and JavaScript-heavy websites using Selenium. Built scraping workflows with pagination, scrolling, filtering, form interactions, and dynamic element handling. Cleaned, transformed, and structured extracted data for CSV and Excel-based reporting. Implemented exception handling, logging, retries, and validation to improve scraper reliability. Troubleshot common Selenium challenges including timeouts, stale elements, changing page structures, and synchronization issues. Created reusable Python functions and scraping components that could be adapted to different websites and data requirements. Worked with large datasets and optimized scraping workflows for better performance and maintainability. Automated repetitive data-collection tasks, reducing the need for manual research and extraction. Focused on producing clean, accurate, and client-ready datasets from publicly accessible web sources. Key Skills Python · Selenium · Web Scraping · Data Extraction · BeautifulSoup · Requests · Pandas · Data Cleaning · Browser Automation · API Integration · CSV/Excel · HTML/CSS · XPath · Error Handling

Python Developer

TatvaSoft • Vollzeit

Dec 2015 - Nov 2019 • 3 yrs 11 mos

Worked on Python-based web automation, web scraping, and data extraction projects using tools such as Selenium, BeautifulSoup, Requests, Pandas, and REST APIs. My responsibilities included developing automated web scrapers, extracting structured data from dynamic websites, handling pagination and JavaScript-rendered content, implementing browser automation workflows, and cleaning and organizing extracted data for client use. I also worked on troubleshooting scraping issues, improving scraper reliability, handling common website changes, and optimizing automation processes to reduce manual data collection efforts. Key Achievements Developed Python-based web scraping solutions for extracting structured information from websites. Built Selenium automation workflows for websites containing dynamic and JavaScript-rendered content. Created reusable scraping scripts with pagination, filtering, scrolling, form handling, and automated navigation. Used Pandas to clean, transform, validate, and export scraped data into CSV and Excel formats. Implemented error handling and logging to make scraping scripts more reliable and easier to maintain. Worked with different website structures and adapted scraping solutions when page layouts or elements changed. Automated repetitive browser-based tasks, helping reduce manual effort and improve data collection efficiency. Delivered maintainable Python scripts with clear structure and reusable functions. Gained practical experience debugging Selenium issues such as timeouts, stale elements, dynamic elements, and browser synchronization. Collaborated with team members to understand requirements, troubleshoot technical challenges, and deliver automation solutions according to project needs.