Skip to content
#

b2b-sales

Here are 15 public repositories matching this topic...

🎯 Complete B2B lead generation system combining Apollo.io, Google Search, LinkedIn scraping, and AI qualification. Generate, enrich, and score thousands of leads automatically with n8n, Airtable, and Google Gemini.

  • Updated Sep 30, 2025

Automated B2B lead generation tool built with Python. Find qualified leads, extract emails, scrape company data, and export to CSV. Includes email templates and CRM integrations (Salesforce, HubSpot). Perfect for sales teams and marketers.

  • Updated Dec 20, 2025
  • Python

🎯 Automated lead generation system that extracts and enriches LinkedIn post commenters into qualified prospects. Built with n8n + Apify. Export enriched profiles to Google Sheets in minutes.

  • Updated Sep 30, 2025

B2B sales lead quality prediction using XGBoost classifier. Achieves 81.06% ROC AUC and 84.74% recall on 7,420 IT sales leads. Handles class imbalance, high-cardinality categoricals, and missing data through frequency encoding and threshold optimization. Includes statistical analysis, cross-validation, feature importance, and business insights.

  • Updated Nov 10, 2025
  • Jupyter Notebook

FastAPI backend service for lead qualification using rule-based scoring + AI reasoning. Accepts product offers and CSV leads, scores buying intent (High/Medium/Low) with dual-layer logic, exports results as JSON/CSV. Features Gemini AI integration, CORS support, Docker deployment, and robust error handling.

  • Updated Sep 18, 2025
  • Python

Improve this page

Add a description, image, and links to the b2b-sales topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the b2b-sales topic, visit your repo's landing page and select "manage topics."

Learn more