You will get so many insights from your data with some proper analysis & visualizations.


Project details
I will scrape your data from that webpage and wrangle it into structured data for you to use for further work. I'm well versed in data analysis and web scraping using Python libraries such as BeautifulSoup, Selenium, etc., so get me that webpage so that I can mine the data out of it for you and you can move on with your research as quickly as possible.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$35
|
Advanced
$55
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 2 days |
Number of Pages Mined/Scraped | 1 | 1 | 4 |
Number of Sources Mined/Scraped | 1 | 2 | 4 |
Number of Revisions | 1 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Additional Page Mined/Scraped
(+ 1 Day)
+$15
Additional Revision
+$10Frequently asked questions
About Moses
Data Scientist & Analyst | Tableau | SQL | Python
Rhondda, United Kingdom - 1:30 pm local time
Some of my hard skills and tools include but are not limited to -
• Data analysis and reporting (Python, SQL, Excel)
• Statistical analysis, experimentation, trend and anomaly detection
• Data quality assessment (completeness, consistency, validity, distribution checks)
• Peer comparison, segmentation, and time-based analysis
• Reproducible analysis and documentation
• Collaboration (stakeholder communication, business requirements gathering, agile methods)
• - Python (Pandas, NumPy, SciPy, scikit-learn)
• - SQL (complex joins, CTEs, window functions)
• - Power BI, Tableau
• - Bash, Linux, Docker
• - Git, basic cloud tooling (GCP)
I can guarantee you effective communication and extensive revisions.
Kindly drop a message and let's work.
Steps for completing your project
After purchasing the project, send requirements so Moses can start the project.
Delivery time starts when Moses receives requirements from you.
Moses works on your project following the steps below.
Revisions may occur after the delivery date.
Receive url and target data from client.
Use suitable python library to scrape data from url.