I will scrape web and API data and turn it into clean, analyzed datasets using python
Python Developer, Web Scraping and Data Analysis Expert
About this Gig
Do you need data pulled from a website or API and turned into something usable?
I'm a Python developer specializing in web scraping (API + HTML/BeautifulSoup) and data cleaning & analysis with Pandas and NumPy. I help clients turn scattered, messy, or hard-to-access data into clean, structured datasets ready for decisions.
What I can do for you:
* Extract data from websites (static pages) using Requests + BeautifulSoup
* Pull data directly from public APIs (JSON/REST) faster and more reliable than page scraping when available
* Clean and organize raw data (handle missing values, fix formatting, remove duplicates)
* Perform analysis (statistics, grouping, summarizing trends)
* Build visualizations (charts, graphs) so your data is easy to understand
* Deliver in any format you need: CSV, Excel, JSON
Why work with me:
* Strong analytical foundation trained to be precise and detail-oriented with data
* Hands-on experience with both API-based and HTML-based scraping
* Clear communication and realistic delivery timelines
* I confirm feasibility before you order no surprises
Send me your target website/API and what you need extracted, and I'll tell you honestly whether it's doable and
Technology:
Python
•
Scrapy
•
Beautiful soup
•
Pandas
Information type:
Price comparison
•
Products & reviews
•
Websites
Technique:
Automated
FAQ
Do you scrape using APIs or webpage scraping?
Both. I use official/public APIs when available (faster, more reliable), and Requests + BeautifulSoup for HTML page scraping when no API exists.
Can you scrape websites that require login?
I focus on publicly available data. Message me the URL first so I can confirm feasibility before you order.
What format will I get my data in?
CSV, Excel, or JSON — whatever works best for you.
Do you also clean and analyze the data, or just scrape it?
Both — scraping is the extraction step; I also offer cleaning, analysis, and visualization in the Standard/Premium packages.
What tools do you use?
Python, Requests, BeautifulSoup, Pandas, NumPy, Matplotlib/Seaborn, and SQL for structured data storage.
Can you handle confidential data?
Yes — all client data is treated confidentially and deleted after project completion.
Do you offer a free feasibility check?
Yes — send me the website/API and what you need, and I'll tell you upfront if it's doable and roughly how long it'll take.

