abid raza
Automated web scraping for high-quality leads
New to Contra
abid is ready for their next project!
Most sales teams waste hours going through bad leads.
So I built a simple tool that does one thing well:
š It filters out decision-makers from a messy lead list of 1200
š Flags uncertain leads for manual review
š Reduces the time spent on low-quality prospects
Upload a CSV ā get a clean list of high-value leads in seconds.
No complex setup. No unnecessary AI hype. Just practical automation.
This is useful for:
ā¢ Freelancers doing outreach
ā¢ Agencies handling client leads
ā¢ Startups trying to close faster
If you want, I can customize this for your business workflow.
(Working demo in video below)
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scraped 50 quotes just now without failing the script on API.
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I built an AI-powered system that analyzes leads based on their job roles and automatically generates personalized outreach emails.
The system classifies contacts into decision-makers or individual contributors using AI, then creates tailored messages for each type. This helps businesses improve response rates and avoid sending generic emails.
Key Features:
AI-based lead classification (Decision Maker vs Individual)
Personalized email generation for each lead
Structured CSV output for outreach campaigns
Reduces manual effort in sales communication
Technologies Used:
Python, Transformers (NLP), Pandas
these are results of these.
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"AI bulk processor "This tool processes large lists of leads and automatically organizes them based on importance using AI.
It helps businesses quickly identify decision-makers and separate low-quality or uncertain leads. This project automates a common sales problem.
What It Does?
Processes bulk lead data (names + job titles)
Classifies leads into:
Decision Makers
Individual Contributors
Adds AI confidence score for each lead
Flags uncertain results for manual review
Separates high-value leads automatically
Exports clean CSV files
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