You will get automation to manual data extraction and reporting workflows
Project details
This project delivers scalable automation for manual data extraction and operational reporting workflows using Python and Selenium. The solution is designed to reduce manual effort, improve reporting consistency, and generate structured outputs for downstream analysis and business operations.
What sets this project apart is its focus on reliability and operational scalability — including error handling, retry logic, structured Excel and JSON outputs, and support for partial failures and validation workflows. Rather than providing simple scraping scripts, the solution is built with production-style automation practices and business-focused reporting in mind.
With experience supporting large-scale operational and analytics environments, I focus on creating automation workflows that are maintainable, scalable, and designed to support real business processes and decision-making.
What sets this project apart is its focus on reliability and operational scalability — including error handling, retry logic, structured Excel and JSON outputs, and support for partial failures and validation workflows. Rather than providing simple scraping scripts, the solution is built with production-style automation practices and business-focused reporting in mind.
With experience supporting large-scale operational and analytics environments, I focus on creating automation workflows that are maintainable, scalable, and designed to support real business processes and decision-making.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$99
|
Standard
$349
|
Advanced
$799
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Pages Mined/Scraped | 25 | 100 | 250 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
Additional Source Mined/Scraped
(+ 1 Day)
+$75
Additional Revision
+$50
Dashboard Reporting
(+ 2 Days)
+$150
Technical Documentation
(+ 1 Day)
+$75
Scheduled Automation Setup
(+ 2 Days)
+$250Frequently asked questions
About Jesse
Senior Data Analyst | Business Intelligence & Operations Analytics
Nashville, United States - 8:08 pm local time
My background includes analytics engineering, ETL development, KPI reporting, dashboard creation, SQL development, and operational analytics at enterprise scale. I specialize in turning complex or messy datasets into actionable insights that improve visibility, efficiency, and performance.
I’ve worked across fulfillment, transportation, delivery operations, program management, and business intelligence environments, building tools and reporting solutions that support both frontline operations and executive leadership.
Core skills include:
• SQL (advanced)
• Python automation & scripting
• ETL pipeline development
• Dashboard development (Power BI, QuickSight, Tableau)
• Data visualization & reporting
• KPI/metric development
• Operational & supply chain analytics
• Forecasting & trend analysis
• Process improvement & automation
• Cross-functional stakeholder support
I work best with teams that need someone who can bridge the gap between business operations and technical analytics — whether that’s building dashboards, automating reporting workflows, improving data quality, or helping leadership make better decisions with data.
I value clear communication, reliable delivery, and creating solutions that are practical, scalable, and easy for teams to use long term.
Steps for completing your project
After purchasing the project, send requirements so Jesse can start the project.
Delivery time starts when Jesse receives requirements from you.
Jesse works on your project following the steps below.
Revisions may occur after the delivery date.
Review project requirements
I will review the target workflow, data sources, access needs, output format, and business rules to confirm scope and expectations.
Design the automation approach
I will map the extraction process, identify required fields, and determine the best structure for the automation workflow.