Real Estate Data Aggregation & SaaS MVP

Project Title
UK/EU Python Developer for Property Research Automation & SaaS MVP
Project Description
We are building a high-margin SaaS tool to help UK property professionals discover and analyze commercial opportunities faster. The core is an automation system that compiles and processes public property data from various free and open sources, applies intelligent analysis, and delivers clean, actionable daily insights.
This is an MVP — focus on reliability, clean data handling, premium user experience, and robust automation. Fixed-price preferred.
Key Requirements

Data Aggregation & Automation
Build robust automation to gather and combine public real estate information from multiple free/open sources (e.g., Rightmove, Zoopla, Daltons Business, HM Land Registry, Environment Agency, Companies House, etc.)
Implement efficient data collection, deduplication (fuzzy matching on address/postcode/grid ref), and normalization
Use best-practice techniques for reliable, high-performance automation (randomized timing, session management, error handling, retries, alerts on failures)
Support configurable scheduling (default nightly, adjustable to multiple runs per day)

AI Enrichment & Analysis
Integrate free-tier LLM (Groq/OpenAI) to analyze aggregated data
Generate:
Viability score 0–100 + 1-sentence rationale
3–4 risk/opportunity bullet points
Personalized email template (max 120 words)
30-second call script
Action checklist (3–5 steps)

Batch processing and ranking of results

Output & User Experience
Daily structured output to Google Sheets (master sheet + per-category tabs, timestamped)
Auto-generate professional 1–2 page PDF reports per opportunity (summary, visuals, next steps, branding)
Simple web dashboard: interactive Mapbox map (color-coded pins), card-based list (photo, headline, stats, “Copy Email” button), dark mode default, mobile-responsive
Drip-feed logic: 5 fresh opportunities/day (ranked by proximity), with “See Full Batch” option
Stripe integration for subscription payments (£99 flat tier), short-lived access keys

Additional Features
Configurable via JSON/env vars (frequency, limits, etc.)
Error monitoring and fallback mechanisms
Proxy support (optional, off by default)


Deliverables

Full source code (private GitHub repo)
Clear documentation (setup, configuration, maintenance)
Deployment on low-cost host (Render/Vercel free tier)
Test run with sample data → example Sheets + PDFs
2–3 revisions after initial testing

Tech Stack (preferred)

Python 3.10+
Requests / BeautifulSoup for data handling
fuzzywuzzy or similar for deduplication
Groq / OpenAI API (free tier)
ReportLab / WeasyPrint for PDFs
Next.js / React or Bubble.io + Tailwind CSS + Mapbox GL JS
Stripe webhook
Google Sheets API

Budget
$2,500 – $3,200 USD fixed (milestones preferred)
Timeline
4–8 weeks maximum
Skills Required

Proven experience in reliable data aggregation from public sources
Strong AI integration (LLM prompting & output structuring)
Building clean SaaS frontends (Stripe + interactive dashboards)
Focus on reliability (error handling, fallbacks, monitoring)

To Apply
Please reply with:

Relevant past projects (especially property/research/data automation tools)
Fixed-price quote + milestone breakdown
Your availability and estimated timeline
Any questions on scope

Serious applicants only — we’re looking for a reliable partner to help bring this to life.