You will get Web Scraping to CSV/Excel (Python) - 1 Site, Up to 1,000 Records
Project details
Need clean CSV/Excel data from a public website? I build a custom Python scraper (Selenium, BeautifulSoup, Requests), extract your target records, clean and format the fields, and deliver structured CSV/Excel with extraction notes and a data dictionary.
What you get:
• Clean CSV/Excel dataset with consistent formatting
• Extraction notes documenting source, date, and method
• Data dictionary mapping fields to source elements
• Advanced: rerun guide and multi-site support
Why me:
• Built StatementForge, a data extraction pipeline parsing 10 financial institutions with institution-specific extractors
• Built AutoCSV Profiler (7.3k LOC, 1,514 PyPI downloads, 20 tests) for automated CSV profiling and validation
• Published 2 Python libraries on PyPI (8,800+ total downloads)
• 156 automated tests across 5 Python projects
• IABAC Certified Data Scientist (Grade A) and NASSCOM Certified (Gold)
• Expert-level Python and Pandas; advanced Selenium, BeautifulSoup, and Web Scraping
All scrapers respect robots.txt. Not included: login-only sites without permission, CAPTCHA bypass, or PII scraping.
What you get:
• Clean CSV/Excel dataset with consistent formatting
• Extraction notes documenting source, date, and method
• Data dictionary mapping fields to source elements
• Advanced: rerun guide and multi-site support
Why me:
• Built StatementForge, a data extraction pipeline parsing 10 financial institutions with institution-specific extractors
• Built AutoCSV Profiler (7.3k LOC, 1,514 PyPI downloads, 20 tests) for automated CSV profiling and validation
• Published 2 Python libraries on PyPI (8,800+ total downloads)
• 156 automated tests across 5 Python projects
• IABAC Certified Data Scientist (Grade A) and NASSCOM Certified (Gold)
• Expert-level Python and Pandas; advanced Selenium, BeautifulSoup, and Web Scraping
All scrapers respect robots.txt. Not included: login-only sites without permission, CAPTCHA bypass, or PII scraping.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$10
|
Standard
$75
|
Advanced
$175
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Pages Mined/Scraped | 200 | 1000 | 5000 |
Number of Sources Mined/Scraped | 1 | 1 | 2 |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$60
Additional Source Mined/Scraped
+$90
Additional Revision
+$25
Script handoff + run guide
(+ 1 Day)
+$120
Extra 1,000 pages/records
+$70
Proxy management setup
+$80Frequently asked questions
About Dhanesh
Data Scientist | Python Developer | EDA, Data Wrangling & Automation
Bengaluru, India - 4:56 am local time
I help turn messy PDFs, spreadsheets, notebooks, and web data into clean, validated outputs. My services include data cleaning with pandas, PDF/table extraction to Excel or CSV, EDA and data quality audits, Excel/CSV automation, web scraping, notebook cleanup, and Python bug fixing.
Certified Data Scientist through IABAC and NASSCOM. My ML work includes projects with R2 up to 0.917, recall up to 84.74%, and ROC AUC up to 0.8106.
I also build Python data tools published on PyPI, including AutoCSV Profiler and InsightfulPy, with 8,800+ combined downloads.
Core tools: Python, pandas, NumPy, SQL, scikit-learn, XGBoost, LightGBM, OpenPyXL, pdfplumber, Selenium, BeautifulSoup, Jupyter, and pytest.
I keep the work practical, document what changed, and deliver outputs that are easy to review and reuse.
Tested, documented, production-ready work. Send me your data challenge and lets solve it together.
Steps for completing your project
After purchasing the project, send requirements so Dhanesh can start the project.
Delivery time starts when Dhanesh receives requirements from you.
Dhanesh works on your project following the steps below.
Revisions may occur after the delivery date.
Review target site and scope
Confirm URL, fields, volume, and output format
Build scraper script
Write Python scraper (Selenium/BeautifulSoup) for the target site