Python Automation · Data Engineering
Business Lead Research & Extraction Pipeline
Developed a custom Python-based lead-research tool for extracting and organizing publicly available business information. The system used browser automation, configurable search criteria and structured exports to reduce repetitive manual research.
The Problem
Manually researching business directories for lead data is time-consuming and inconsistent. Extracting company names, websites and contact information across hundreds of listings requires automation to be practical at scale.
The Approach
Built a Python tool using Selenium and ChromeDriver to automate browser-based directory research. The system applied configurable geographic and industry filters, extracted structured records, identified missing fields and exported clean CSV datasets.
Project Evidence
Anonymized example — dental office lead extraction.
The screenshots below show the project folder structure and a terminal run from a dental-office lead-extraction project. Client identity, target criteria and extracted records are not published.
Project folder structure
Project directory showing lead_extractor.py, ChromeDriver and ChromeDriver licensing files — the complete browser-automation and extraction toolchain.
Capabilities
- Business-directory research
- Location-based business discovery
- Company-name extraction
- Website and public contact discovery
- Industry and specialty filtering
- Geographic targeting
- Duplicate removal
- Record validation
- Missing-field identification
- Structured CSV and JSON exports
- Browser automation
- Selenium and ChromeDriver workflows
- Logging and retry handling
- Configurable research criteria
Responsible Use
This tool collects publicly available business information from authorized sources. Private lead lists, personal contact information, customer identities and proprietary target criteria are not published here. Data collection and outreach compliance are separate responsibilities — collecting data does not imply that every extracted business has consented to marketing contact.
Technologies
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