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A data-driven business needed scalable, structured product and market data, fast and compliantly.
We built a custom Python scraping solution extracting structured data from publicly accessible websites, eCommerce stores, and market sources. Delivered clean, formatted datasets in CSV and Google Sheets — ready for immediate business use.
✅ Custom scraping scripts for target platforms
✅ eCommerce product data collection
✅ Clean CSV & Google Sheets output
✅ Public, compliant data sourcing only
Result: Client received accurate, structured data ready for immediate business decisions, zero manual effort.
Tags: Web Scraping, Python, Data Extraction, Automation, eCommerce
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Jobs.ge Job Market Intelligence & Company Contact Database
A personal data collection and automation project designed to continuously monitor the Georgian job market and build a structured database of active companies and publicly available business contact information.
Project Overview
I built a locally hosted data collection system that periodically monitors Jobs.ge, a Georgian job-seeking platform, to collect and structure publicly available job vacancy information.
The system is designed to support long-term market research, business development, sales automation, and marketing operations by transforming unstructured job listings into structured, searchable data.
Key Use Cases
The project can be used to:
Monitor newly published job vacancies over time
Track companies that are actively hiring
Identify companies based on job roles, departments, industries, and hiring activity
Build a structured database of active companies
Collect publicly available company contact information where available
Support market research and business intelligence activities
Identify potential business opportunities based on hiring activity
Provide data that can be used in compliant sales and marketing workflows
Data Collection & Processing
The system is designed to:
Crawl job listings periodically
Detect new and updated vacancies
Extract relevant information from job postings
Store structured job and company data
Maintain historical records of hiring activity
Build a searchable company database
Collect publicly available business contact information where appropriate
Business Value
Hiring activity can provide valuable insights into a company's current business needs and growth stage.
For example, a company that is actively hiring for multiple positions may indicate:
Business expansion
Growth of a specific department
New projects or initiatives
Increased demand for particular services
Potential opportunities for B2B sales and business development
This project demonstrates how publicly available data can be transformed into structured business intelligence to support data-driven decision-making and automation.
Technical Focus
The project focuses on:
Web crawling and data extraction
Automated data collection
Data cleaning and structuring
Company and job market intelligence
Historical data tracking
Database design
Automation workflows
Data preparation for sales and marketing systems
Project Type
Personal Project
The system is currently hosted and operated locally for personal experimentation, development, and research purposes.
Project Outcome
This project demonstrates the development of a data-driven system that continuously transforms publicly available job market information into structured business intelligence.
The collected data can serve as a foundation for market analysis, company research, business development, and compliant sales automation workflows.
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