Sales teams live and die by their pipeline. Every morning, thousands of SDRs open Apollo, ZoomInfo, or Hunter.io and run the same searches. They pay $99-299/month per seat for data that's often stale, bounced, or straight-up wrong.
The dirty secret of the lead gen industry: most of these tools are scraping the same public sources and repackaging them at enterprise prices. A solo developer with good scraping skills can build a tool that pulls fresh leads from Google Maps, LinkedIn profiles, and company websites — no cookies or logins required.
Socleads.com proved the model: one developer hit $10K+ MRR selling B2B leads at a fraction of Apollo's price. The key is picking a niche (real estate agents, dentists, SaaS companies) and owning that vertical's data quality.
💰 Revenue Blueprint
Three-tier value ladder to monetize from day one
50 leads/month from any niche. Basic contact info (name, email, company). See the data quality before you commit.
1,000 leads/month with verified emails. Export to CSV. Filter by location, industry, company size.
10,000 leads/month, API access, CRM integrations, enriched data (phone, LinkedIn, revenue estimates). Priority support.
Why Now?
Cold outbound is having a renaissance. Every bootstrapped SaaS, agency, and consultancy is doing cold email at scale. But the big players (Apollo, ZoomInfo) keep raising prices — ZoomInfo now starts at $14K/year. There's massive demand for affordable, accurate lead data from solo founders and small teams who can't justify enterprise pricing.
📊 Market Evidence
The Market Gap
Apollo and ZoomInfo dominate but charge enterprise prices ($99-299/seat/mo). Hunter.io is email-only. Socleads proved you can win with simpler, cheaper, and fresher data. The gap: nobody serves the $49-149/mo segment with comprehensive B2B data (not just emails) and a modern UX.
Revenue Examples
Reddit r/microsaas founder post
🏆 Competitor Landscape
How existing players stack up in this market
| Competitor | Pricing | Notes |
|---|---|---|
| Apollo.io | $49-99/mo | Full-featured but expensive |
| Hunter.io | $49/mo | Email focus |
| Socleads | $49/mo | Indie, $10k+ MRR proven |
Full-featured but expensive
Email focus
Indie, $10k+ MRR proven
Launch Strategy
Pick one niche (e.g., real estate agents in US cities). Build the scraper, verify emails, launch with 10K free leads to prove quality. Then post on r/sales, r/coldoutreach with real results. Offer free trials to cold email agencies. Write comparison content: 'Apollo alternatives 2026'. Scale to more niches once the engine works.
🛠️ Recommended Tech Stack
Suggested tools and technologies to build this idea
Why this stack: Python excels at web scraping with Playwright/BeautifulSoup. FastAPI handles async scrapers well. Redis queues manage scrape jobs. Railway supports long-running workers.
Strengths
- ✓Proven $10k+ MRR by solo founder
- ✓Evergreen demand - every sales team needs leads
- ✓Can charge $49-99/mo validated
Risks
- ⚠Platform ToS changes
- ⚠Scraping cat-and-mouse with anti-bot
Score Breakdown
High demand, proven revenue, low competition — a strong opportunity
Market (20%) + Revenue (20%) + Trend (15%) + Competition (15%) + Build (15%) + Pricing (15%)
Apollo, Hunter, Lusha all paid; Socleads at $10k+ MRR
Multiple indie tools $5-20k MRR with public proof
B2B outreach evergreen, cold email still massive
Crowded but big players expensive; room for simpler/cheaper
2 weeks; scraping logic + anti-detection needs care
$49-99/mo validated; usage-based scales well
🚀 Start Building
Copy a prompt into your favorite AI coding tool and start building this idea right now.
Build a SaaS product called "B2B Lead Scraper Tool". ## Product Overview Scrape fresh B2B leads from social platforms and Google Maps — no logins or cookies required. ## Problem Sales teams need fresh leads but big tools like Apollo are expensive and require logins ## Solution Simple scraper that pulls leads from public social profiles and Google Maps without authentication ## Target Audience Sales teams, recruiters, agencies, small businesses doing outbound ## Tech Stack - Next.js 15 (App Router) with TypeScript - Tailwind CSS v4 for styling - Supabase for auth, database, and storage - Vercel for deployment - shadcn/ui for UI components - Framer Motion for animations ## MVP Features to Build 1. Landing page with clear value proposition 2. User authentication (sign up, sign in, forgot password) 3. Core product functionality based on the solution above 4. Dashboard for users to manage their data 5. Pricing page with at least 2 tiers (free + paid) 6. Basic settings/profile page ## Known Competitors Apollo.io, Hunter.io, Socleads ## Key Risks to Address Platform ToS changes Scraping cat-and-mouse with anti-bot ## Deployment 1. Set up Supabase project and configure environment variables 2. Deploy to Vercel with `npx vercel --prod` 3. Set up custom domain 4. Configure Supabase RLS policies for security ## Instructions Start by creating the project structure, then build the landing page first. Use server components where possible. Make it mobile-responsive from the start. Focus on getting the core value loop working before adding polish.