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Abhiram Kannuri
Python Expert: Web Scraping & Automation | Lead Data Analyst
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I’ve always believed that you don't need over-complicated solutions to get results. This Christmas, I’m celebrating the beauty of simple, effective automation, clean Python scripts, reliable Selenium workflows, and Excel sheets that just work.
Wishing my fellow freelancers and...
From API integrations to Full Stack Development, it’s been a year of building tools that give time back to businesses.
Merry Christmas! Let’s keep the code clean and the workflows simple in the New Year. 🚀
When I take on a web scraping project, my focus extends beyond just "getting the data." I consider:
1. Robustness: What happens when the website changes? My scripts are built with error handling and dynamic selectors to adapt.
2. Scalability: Need 1,000 records today and 100,000 next month? The solution scales without breaking.
3. Ethical Lines: Guiding clients on what's public, acceptable, and how to avoid legal pitfalls.
Data is a long-term asset. Ensure your extraction strategy is too.
What's your biggest concern when acquiring external data?
#WebScraping #DataStrategy #Python #ReliableData #EthicalTech
If you're paying $100+ per month for a SaaS tool (like a niche connector, Zapier, or a basic reporting service) just to move data between two specific points (e.g., your CRM and a custom Excel sheet), you are likely overpaying.
90% of those custom workflows can be replaced by a...
I see companies hiring a scraper to get data, an assistant to clean it in Excel, and a developer to upload it to their API.
That is a waste of time and budget.
I build End-to-End Automation Loops:
1. Extraction: My Python scripts scrape the raw source.
2. Processing: The data is auto-cleaned and formatted.
3. Integration: The script pushes the results directly to your Database or API.
Zero manual touchpoints. 100% automated.
If you are manually moving data between...
