You will get Automated Dubai real estate data extraction and Excel dashboards
Project details
Are you spending hours manually tracking lease deadlines, rents, and deposits from property documents?
Let’s automate it! I will build a Python system to convert your property PDFs or contract images into a Corporate Navy Executive Excel Dashboard.
What this service delivers:
Automated Extraction: Accurate retrieval of Landlord/Tenant names, Annual Rent, Payment Methods, Security Deposits, Notice Periods, and Late Fees.
Visual Urgency Status: Conditional formatting that flags deadlines (🔴 HIGH URGENCY, 🟡 MEDIUM RISK, 🟢 SECURE) like professional asset management firms.
Executive Dashboards: Visual aids including Pie Charts (Rent Segment Breakdown) and Bar Charts (Annual Rent per Contract) to see performance at a glance.
Clean Data: No markdown issues—all columns are auto-fitted and formatted perfectly.
Why choose me?
As an automation specialist in legal/property document management, I combine accurate data parsing with professional sheet design.
Please message me before placing an order for non-standard layouts or custom tracking requirements!
Let’s automate it! I will build a Python system to convert your property PDFs or contract images into a Corporate Navy Executive Excel Dashboard.
What this service delivers:
Automated Extraction: Accurate retrieval of Landlord/Tenant names, Annual Rent, Payment Methods, Security Deposits, Notice Periods, and Late Fees.
Visual Urgency Status: Conditional formatting that flags deadlines (🔴 HIGH URGENCY, 🟡 MEDIUM RISK, 🟢 SECURE) like professional asset management firms.
Executive Dashboards: Visual aids including Pie Charts (Rent Segment Breakdown) and Bar Charts (Annual Rent per Contract) to see performance at a glance.
Clean Data: No markdown issues—all columns are auto-fitted and formatted perfectly.
Why choose me?
As an automation specialist in legal/property document management, I combine accurate data parsing with professional sheet design.
Please message me before placing an order for non-standard layouts or custom tracking requirements!
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$55
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Pages Mined/Scraped | 5 | 25 | 50 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Number of Revisions | 2 | 4 | 5 |
Optional add-ons
You can add these on the next page.
Google Sheets Integration
(+ 1 Day)
+$25About Fadwa
Automated Lease Abstractor | Python & Data Analytics Specialist
Tetouan, Morocco - 4:54 pm local time
What makes my approach different is my background: I combine a formal legal education with Python data automation. I don't just copy-paste text; I actually understand contract architecture, notice periods, and liability clauses. This means your data is interpreted accurately, not just scraped blindly.
How I handle your lease portfolios:
• Precise Extraction: Pulling exact Landlord/Tenant entities, Premises Addresses, Monthly Rents, and Late Fees using specialized Python scripts (pdfplumber, pandas).
• Risk-Mitigation Dashboards: I format your final Excel files to include color-coded Urgency Flags (Red/Yellow/Green) based on critical notice windows (30/60/90 days), ensuring you never miss a renewal or exit deadline.
• Human-in-the-Loop Quality Control: Even though I use code for speed and absolute formula accuracy, every single row undergoes a manual verification check against the original document before delivery.
Whether you have 10 residential agreements or a complex commercial portfolio, I deliver clean, corporate-ready spreadsheets that give you total clarity over your real estate assets.
Let’s discuss your portfolio structure. Send over a sample lease, and I’ll show you exactly how clean and structured your data can look.
Steps for completing your project
After purchasing the project, send requirements so Fadwa can start the project.
Delivery time starts when Fadwa receives requirements from you.
Fadwa works on your project following the steps below.
Revisions may occur after the delivery date.
Document Review
Reviewing the client's PDF layout and structure
Python Scripting
Writing and testing the extraction code