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How I Automated B2B Lead Extraction with Custom Python Automation
Finding verified B2B leads across multiple cities manually takes hours of repetitive work. I built a custom Google Maps Lead Extraction & Enrichment Tool in Python to automate the entire workflow from discovery to decision-maker identification.
Multi-Location & Niche Targeting: Set specific business types and scrape across multiple target cities (e.g., New York, London) sequentially.
Lead Control & Limits: Define exact extraction caps per location to optimize workflow and data output.
Automated Data Enrichment: Extracts business names, phone numbers, addresses, websites, star ratings, and review counts.
Decision-Maker Discovery: Automatically queries verified owner/CEO names and LinkedIn profile links.
CSV/Excel Export: Cleanly formats all collected lead intelligence into organized spreadsheets ready for outreach pipelines.
Outreach Readiness: Built to integrate with automated WhatsApp and email outreach flows.
Need custom web automation, Python scraping tools, or lead generation systems built for your business? Send a message or invite me to your project on Contra!
#WebScraping #PythonAutomation #LeadGeneration #B2BMarketing #DataExtraction #Python #SoftwareDevelopment #AutomationTool #LeadGen #WorkflowAutomation
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Spaciva — AI Automation & Technology Solutions
Designed and developed the Spaciva website to position the company around AI automation, custom software, and technology solutions for businesses.
The website is structured around a clear service-led journey, helping visitors understand what Spaciva builds, who it serves, and how projects are delivered. The experience focuses on communicating complex technical services in a simple, conversion-oriented way.
Key Features
AI automation service presentation
Custom software development positioning
AI agent and workflow solutions
Business-focused service architecture
Conversion-focused landing page
Clear service and solution navigation
Responsive and modern UI/UX
Lead-generation focused CTAs
Structured content and information architecture
Ongoing support and maintenance positioning
My Role
I handled the website strategy, UI/UX direction, frontend development, content structure, and implementation, creating a digital experience designed to turn technical capabilities into clear business value.
Technology
Next.js · React · TypeScript · Tailwind CSS · Responsive Web Development
Focus: AI Automation · Custom Software · AI Agents · Business Solutions · Web Development · Conversion Optimization
I developed a Python web scraping automation script using Selenium, Undetected ChromeDriver, Pandas, WebDriverWait, and Excel. The script automatically opens car parts product URLs from an Excel file, loads each page, handles pop-ups, waits for dynamic content, and extracts product details such as title, OE number, and interchange part number. It includes error handling, fallback methods, random delays, and browser automation to make the scraping process more reliable. Finally, it stores all collected data in a structured Excel file using Pandas.
#Web_scraping #Automation #Python
How are you handling IP rotation for larger scraping runs? Are you using a proxy pool with session-level rotation, or relying more on request throttling and browser-level fingerprints to reduce blocking?