Bernardas Ališauskas is a seasoned Python developer with 11 years of experience specializing in web scraping, automation, and reverse engineering, currently leading scraping operations at Podqi. He has built and maintained large-scale scraping engines, contributed bug fixes and media-pipeline improvements to Scrapy, and added usability features like a pip completer to the xonsh shell. Comfortable across the stack, Bernardas delivers data via Django/Flask/FastAPI, designs monitoring and data-quality systems, and optimizes pipelines for PostgreSQL, Redis, Couchbase and more. He has led small agile teams and run growth-oriented devtools and content efforts at Scrapfly, blending technical leadership with developer education. Based in Thailand, he’s an advocate for open source and software education, regularly writing technical content and contributing to community projects. An accidental specialist in evading anti-bot systems, he pairs practical reverse-engineering skills with a taste for elegant, reusable tooling.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Informatics, Bachelor's degree Informatics at Klaipedos state college
:shell: Python-powered shell. Full-featured and cross-platform.
Role in this project:
Back-end Developer
Contributions:20 commits, 7 PRs, 16 comments in 7 months
Contributions summary:Bernardas primarily contributed to the development of a pip completer for the xonsh shell, enhancing its usability. This involved writing code to interact with the pip package manager, parsing its output, and providing intelligent tab completion suggestions to the user. Refactoring and optimizations were also made, including lazy loading and improvements to the completion logic. Finally, the user updated the news changelog to reflect the changes.
Scrapy, a fast high-level web crawling & scraping framework for Python.
Role in this project:
Back-end Developer
Contributions:12 commits, 8 PRs, 17 comments in 8 months
Contributions summary:Bernardas primarily contributed to the Scrapy framework by fixing bugs and enhancing its media pipeline functionalities. They addressed issues related to redirect handling and settings configuration within the media pipeline, ensuring proper behavior and improved user control. The user also made adjustments to variable wording and redirect logic, as well as added new features like support for handling specific HTTP statuses and enabling redirection. They added new tests and documentation to improve clarity and functionality of the media pipeline, contributing to the overall stability and usability of the Scrapy framework.
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Bernardas Ališauskas - Python Developer, Web Scraping Operations