№ 010Sales & marketingWorking prototype
Instagram Lead Generation System
Finds Instagram prospects, scores them with AI and drafts a personal message for each.
A lead-generation workflow combining Instagram audience research, data extraction, AI enrichment and personalized outreach. The detailed case study covers its components and reported results.
- Web scraping
- AI enrichment
- API integration
- Workflow automation
The problem
Prospecting by hand is hours of scrolling and a generic template at the end.
Who it is for
Founders and sales teams who need researched prospects without a researcher.
What it does
01
Find by hashtag, location or competitor audience
02
Research each lead
LinkedIn and website details are scraped.
03
AI scores the lead and drafts a personal message
04
Everything is written to a CRM sheet for a rep to review and send
How it works
The working version is an n8n workflow. A Telegram trigger starts a run, scraper steps pull details, an AI agent drafts the message, and the result goes back to the sheet.
- n8n
- web scraping
- AI enrichment
- Google Sheets
- Role
- Built by Vas.
- Status
- Working prototype.
The Challenge
The problem
Manual lead research on Instagram was incredibly time-consuming, taking hours to identify qualified prospects. Generic outreach messages resulted in low response rates (under 5%). The client could only reach 20-30 prospects per week, severely limiting growth potential.
Why existing solutions failed
Basic Instagram automation tools focused on mass following/unfollowing, which violated platform policies and damaged brand reputation. They lacked intelligent targeting and personalization capabilities. Existing solutions couldn't analyze prospect profiles to craft truly personalized messages, resulting in spam-like outreach.
Business impact
Limited prospecting capacity capped potential revenue growth. Low response rates wasted time and resources on unqualified leads. Manual research prevented the sales team from focusing on high-value activities like closing deals and relationship building. The business couldn't scale outreach efforts without proportionally scaling headcount.
Our Solution
Approach
We built an intelligent system that combines automated lead discovery with AI-powered personalization. The system scrapes Instagram based on specific criteria, analyzes each prospect's profile using AI, and generates highly personalized outreach messages that feel authentic and relevant. Built-in safety features ensure compliance with Instagram policies.
Workflow
Define target criteria → Automated Instagram search and scraping → Profile analysis and scoring → Lead qualification filtering → AI-powered profile analysis → Personalized message generation → Automated outreach with rate limiting → Response tracking → CRM synchronization → Follow-up sequence automation
Key features
- Smart lead scraping based on hashtags, locations, and competitors
- AI-powered profile analysis for qualification
- Lead scoring based on multiple criteria
- Personalized message generation using GPT-4
- Automated outreach with human-like timing patterns
- Response detection and conversation tracking
- Automated follow-up sequences
- CRM integration for seamless handoff
- Rate limiting to avoid platform restrictions
- Detailed analytics and reporting dashboard
Results
Before
Manual research: 2-3 hours per day, 20-30 prospects per week, generic messaging, 5% response rate, no follow-up system, manual CRM entry
After
Automated research: 15 minutes per day, 200-300 prospects per week, personalized messaging, 15% response rate, automated follow-ups, CRM auto-sync
What changed for the business
Lead volume increased from 80 to 1,200 per month with the same team size. Response rate improvement from 5% to 15% tripled qualified conversations. Sales team spent 90% more time on actual sales conversations rather than prospecting. Monthly revenue increased 2.5x within first quarter. Customer acquisition cost decreased by 60% due to higher conversion rates and reduced labor costs.
Technical Details
Architecture
Python-based automation system with PostgreSQL database for lead storage and state management. Redis queue for job processing and rate limiting. Proxy rotation system ensures account safety. Microservices architecture allows independent scaling of scraping, analysis, and outreach components.
Integrations
- Instagram Private API for profile access and messaging
- OpenAI GPT-4 for profile analysis and message generation
- Proxy network for IP rotation and safety
- PostgreSQL for lead database
- Redis for queue management
- HubSpot/Salesforce CRM integration
- Webhook endpoints for real-time notifications
- Analytics dashboard for monitoring
Security and compliance
- Instagram account safety with rate limiting
- Proxy rotation to avoid IP bans
- Human-like behavior patterns
- Secure credential storage
- Data encryption for lead information
- GDPR-compliant data collection
- Opt-out mechanism for prospects
- Regular compliance audits
Technologies
- Python
- OpenAI
- PostgreSQL
- Redis
- Celery
- Instagram API
- Proxies
- FastAPI
- React
- Docker
- Nginx
Related
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- Next.js
- TypeScript
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№ 012LiveQuickRevenue
An outreach application for discovering leads and preparing personalized emails with AI. Includes the related SDR Employee research and implementation work that informed the product.
- Next.js
- Convex
- Claude
- Firecrawl
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Next project
Lead Enrichment SystemResearches each lead's LinkedIn profile and website, then writes the first message.