You will get a Python automation pipeline to track commercial contract data
Project details
Python contract data & workflow automation. Custom Pandas & ETL pipelines to organize public regulatory records and verified estimator profiles into clean, CRM-ready data grids.
Programming Languages
PythonCoding Expertise
Localization, Performance OptimizationWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Install Script | - | - | - |
Test Script | - | - | - |
Task Automation | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50Frequently asked questions
About Samuel
B2B Data Analyst | Python Procurement & Automation Specialist
Techiman, Ghana - 11:39 pm local time
I help commercial contractors, builders, and enterprises discover high-ticket bidding opportunities and targeted B2B leads using custom Python data pipelines.
Instead of generic web scraping or outdated databases, I write automated scripts (using Python, Pandas, BeautifulSoup, and Scrapy) to map out active federal, structural, and public utility contract awards. By combining powerful programming tools with advanced AI efficiencies, I transform complex regulatory tracking and procurement data into highly organized, actionable marketing databases tailored to your precise industry requirements.
Every delivery undergoes rigorous validation to ensure you receive clean, production-grade intelligence.
What I Deliver:
Verified B2B Lead Lists: Deep-dive contact intelligence targeting key decision-makers, estimators, and project managers—verified for accuracy.
Federal & Commercial Award Tracking: Up-to-date mapping of major contract values, reference IDs, and agency contacts extracted directly from government portals.
Clean Data Architecture: Fully structured Google Sheets, Excel, or CSV databases formatted with Pandas, ready for immediate CRM integration and automated outreach campaigns.
Whether you need targeted leads for a specific regional HVAC fleet or ongoing data sheets to get ahead of standard open-market bidding, I build the automated data engines that fuel your business development.
Let’s connect to scale your pipeline.
Steps for completing your project
After purchasing the project, send requirements so Samuel can start the project.
Delivery time starts when Samuel receives requirements from you.
Samuel works on your project following the steps below.
Revisions may occur after the delivery date.
Environment Setup & Parameters
I configure the Python script execution parameters based on your target data regions and formatting guidelines.
Pipeline Engineering
I write custom data extraction logic to cleanly read public databases and open archives.