I will scrape web data and export to clean excel or csv using python
About this Gig
Need public web data extracted quickly into a clean, ready-to-use spreadsheet?
I extract, clean, and structure raw web data into organized Excel (.xlsx) or CSV files using Python automation (BeautifulSoup, Selenium, Playwright, Pandas).
What I Can Extract: E-commerce Stores: Product titles, prices, SKUs, ratings, reviews, stock status, and images. Business Directories: Company names, addresses, phone numbers, emails, and links. Market Listings: Real estate, job boards, vehicle specifications, and public directories. Dynamic Sites: Pages requiring pagination, infinite scrolling, or JavaScript rendering.
Deliverables: Clean, deduplicated, and formatted data (.xlsx, .csv, .json). Structured columns ready for Google Sheets, Airtable, or databases. Fast turnaround and sample preview verification before final delivery.
Please message me with the target website URL and required fields before placing an order to confirm feasibility!
Technology:
Python
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Scrapy
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Selenium
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Beautiful soup
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Pandas
Technique:
Automated
FAQ
Can you scrape dynamic or JavaScript-heavy websites?
Yes. I use headless browser automation (Playwright and Selenium) to handle dynamic rendering, infinite scrolling, and interactive elements cleanly.
Will the output data be cleaned and deduplicated?
Yes. All data is processed using Pandas to eliminate duplicates, strip broken HTML, and organize clear column headers before delivery.

