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I will do python web scraping and data extraction to csv excel
Python Data Engineer ,Big Data Automation, Ai integration
With 3+ years of experience as a Python developer, I specialize in web scraping, data extraction, and workflow automation.
Core Expertise:
Web Scraping: Building advanced scrapers using Python, Beau...
About this Gig
Welcome to your ultimate solution for professional Python Web Scraping and Data Extraction!
Are you tired of manually copying and pasting data from websites? Do you need clean, structured data for market research, lead generation, or price tracking? You are at the right place. I leverage powerful Python tools like BeautifulSoup, Selenium, Playwright, and Pandas to extract data efficiently from any website and deliver it in your desired format.
What I Can Do For You:
Static Websites: Extract data fast from traditional HTML pages using BeautifulSoup.
Dynamic & JS-Heavy Sites: Handle modern web apps, infinite scrolling, and login-protected pages using Selenium and Playwright.
Data Cleaning & Formatting: Remove duplicates, fix missing fields, and organize messy data.
Export Formats: Deliver clean files in Excel (.xlsx), CSV, JSON, or direct to Google Sheets.
My Professional Workflow:
Analyze: Review your target URL and requested data fields.
Execute: Run robust custom Python scripts via secure cloud environments.
Verify: Check for data accuracy and clean formatting.
Deliver: Provide your ready-to-use file on time.
Note: Please message me with your target URL and required fields before
Technology:
Python
•
Excel
•
Scrapy
•
Selenium
•
Beautiful soup
Technique:
Automated
My Portfolio
FAQ
What do you need from me before starting?
Just send the target website URL and a list of the specific data fields you want to extract (e.g., product name, price, rating, contact info).
Can you scrape websites that require login or use heavy JavaScript?
Yes! I use advanced automation tools like Selenium and Playwright to handle dynamic pages, pop-ups, and interactive content smoothly.
What formats will my data be delivered in?
I deliver structured data in Excel (.xlsx), CSV, JSON, or directly into Google Sheets, depending on your preference.
How do you handle data accuracy?
I use custom Python scripts combined with rigorous data cleaning steps using Pandas to ensure your dataset is 100% clean and error-free.
