I will do web scraping, data extraction and data mining using python

I specialize in extracting data from websites using Python and custom-built Chrome extensions. I can scrape static pages, dynamic/JavaScript-heavy websites, e-commerce stores, directories, social media profiles, job boards, real estate listings, and more.

I thoroughly clean scraped or raw data by fixing missing values, removing duplicates, standardizing formats, correcting inconsistencies, handling special characters, and structuring unstructured data into clean, usable formats.

I use Python (Pandas, NumPy, BeautifulSoup, Scrapy, Selenium, Playwright) along with custom-made Chrome extensions for efficient scraping. This combination allows me to bypass restrictions and extract data reliably even from complex sites.

I can deliver the final cleaned data in any format you need: Excel (.xlsx), CSV, JSON, TXT, Google Sheets, or even directly into a database if required.

I use smart techniques such as proxies, user-agent rotation, delays, and headless browsers to avoid blocks. I’m experienced with scraping large volumes of data efficiently and reliably.

Yes, I can handle authenticated pages and login-required websites using proper automation techniques while maintaining full respect for the site’s terms of service.

Yes. In addition to extraction and cleaning, I can analyze the data to uncover trends, summarize key metrics, and deliver actionable insights using Pandas and NumPy.

Absolutely. Your data and project details are 100% confidential. I never share or reuse any scraped or client data. I’m happy to sign an NDA if needed.

Please share the target website URL(s), the specific data fields you want to extract, and any special requirements (like output format or frequency). The more details you provide, the faster and more accurate the result will be.

Yes. I can build reusable Python scripts or custom Chrome extensions so you can run the scraping and data extraction process whenever you need it.