You will get USA Permits, Foreclosure & Mortgage Records ETL Pipeline
Project details
I build custom Python ETL pipelines to collect, process, and standardize U.S. public records data from county portals and government databases.
━━ DATA TYPES ━━
• Building permits (residential, commercial, electrical, plumbing)
• Foreclosure records (NOD, NTS, Lis Pendens, REO)
• Mortgage originations (loan, lender, borrower, property)
• Deed transfers (buyer, seller, sale price, date)
• Tax liens and delinquencies
• Court and recorder filings
━━ WHAT I DELIVER ━━
• End-to-end ETL: collection, cleaning, structured output
• Standardized fields: addresses, APNs, dates, entity names
• Deduplication, validation, and QA reports
• Bulk data extraction from public sources
• PDF parsing and field extraction
• Change tracking for recurring updates
━━ OUTPUT FORMATS ━━
CSV · Excel · JSON · PostgreSQL · Google Sheets · API-ready
━━ DELIVERY ━━
One-time datasets or automated recurring updates with monitoring
Built for real estate investors, proptech, data vendors, legal/title teams, and research groups.
Send your target county, state, and use case for a same-day feasibility review.
━━ DATA TYPES ━━
• Building permits (residential, commercial, electrical, plumbing)
• Foreclosure records (NOD, NTS, Lis Pendens, REO)
• Mortgage originations (loan, lender, borrower, property)
• Deed transfers (buyer, seller, sale price, date)
• Tax liens and delinquencies
• Court and recorder filings
━━ WHAT I DELIVER ━━
• End-to-end ETL: collection, cleaning, structured output
• Standardized fields: addresses, APNs, dates, entity names
• Deduplication, validation, and QA reports
• Bulk data extraction from public sources
• PDF parsing and field extraction
• Change tracking for recurring updates
━━ OUTPUT FORMATS ━━
CSV · Excel · JSON · PostgreSQL · Google Sheets · API-ready
━━ DELIVERY ━━
One-time datasets or automated recurring updates with monitoring
Built for real estate investors, proptech, data vendors, legal/title teams, and research groups.
Send your target county, state, and use case for a same-day feasibility review.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$200
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Pages Mined/Scraped | 1 | 150 | 20 |
Number of Sources Mined/Scraped | 1 | 5 | 20 |
Number of Revisions | 1 | 5 | Unlimited |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $100
Additional Page Mined/Scraped
(+ 1 Day)
+$30
Additional Source Mined/Scraped
(+ 1 Day)
+$50Frequently asked questions
About Waqas
Data Engineer | Python | PostgreSQL | AWS | ETL | Scraping | USA DATA
Islamabad, Pakistan - 9:07 am local time
I help companies collect, clean, structure, and scale data using Python, PostgreSQL/PostGIS, AWS, ETL pipelines, and advanced web scraping automation. My goal is always automation, consistency, and clean, production-ready solutions that your team can actually use.
What I Can Do for You
✅ Design and build end-to-end automated ETL data pipelines
✅ Integrate disparate data sources — APIs, websites, files, databases
✅ Set up and maintain SQL databases (PostgreSQL, PostGIS)
✅ Deploy services and APIs in the cloud (AWS, Docker)
✅ Develop RESTful APIs for data delivery
✅ Data Mining and Web Scraping (Python, BeautifulSoup, Scrapy, Selenium, Playwright)
✅ Set up CI/CD pipelines (GitHub Actions, Jenkins) for reliable releases
✅ Containerize applications for smooth, portable deployment
✅ Process and engineer complex GIS and geospatial datasets
✅ Build USA property, parcel, permit, zoning, and real estate data systems
Data Engineering
End-to-end ETL pipeline development
Data ingestion from APIs, websites, files, and databases
Data cleaning, normalization, transformation, and validation
Automated data pipelines in Python
Batch and scheduled processing
AWS-based data workflows (S3, EC2, Lambda)
Data warehouse-ready outputs
Data QA and monitoring
Large-scale structured dataset generation
Web Scraping & Extraction
Custom Python scrapers
Dynamic and JavaScript-rendered page extraction
Pagination and workflow automation
Table, listing, directory, and portal extraction
PDF, file, and document download automation
Public records scraping
Structured output delivery (CSV, Excel, JSON, Google Sheets, PostgreSQL)
Scheduled recurring scraping jobs
PostgreSQL / PostGIS
Database design and optimization
PostGIS spatial queries
Geometry cleaning and validation
CRS/SRID transformations
Spatial joins and indexing
Geospatial ETL pipelines
Large spatial data imports and updates
USA Property / Real Estate / GIS Data (Deep Specialty)
Parcel, zoning, and land use data pipelines
Ownership, assessor, permit, deed, mortgage, tax, and foreclosure data
GIS boundary maps and geospatial layer processing
Parcel number and APN matching
Address standardization and geocoding support
County, city, and state-level public records integration
Real estate intelligence datasets for analysis or product use
APIs & Cloud Automation
REST API integrations and custom API-based data delivery
Cloud deployment workflows on AWS
Dockerized automation systems
CI/CD pipelines with GitHub Actions and Jenkins
Monitoring and refreshing pipelines
Tools & Technologies
Languages: Python, SQL
Databases: PostgreSQL, PostGIS
Cloud: AWS (S3, EC2, Lambda, Elastic Beanstalk)
Containerization: Docker
CI/CD: GitHub Actions, Jenkins
Python Libraries: pandas, GeoPandas, NumPy, Shapely, requests, BeautifulSoup, Scrapy, Selenium, Playwright, httpx
GIS / Spatial: PostGIS, QGIS, ArcGIS, GeoJSON, Shapefile, WKT/WKB
Output: CSV, Excel, JSON, Google Sheets, PostgreSQL/PostGIS, API-ready datasets
Why Clients Hire Me
I don't just write scripts — I build usable data systems.
That means I help clients collect the right data, clean and structure it properly, store it in the right schema, validate quality, automate refreshes, and deliver it in a format their team can actually use.
Whether your project involves business data pipelines, web scraping at scale, cloud automation, or large-scale USA real estate and GIS datasets, I build reliable, maintainable solutions from day one.
Send me a message with your data source, target output, and business goal, and I'll help you map out the right workflow.
Steps for completing your project
After purchasing the project, send requirements so Waqas can start the project.
Delivery time starts when Waqas receives requirements from you.
Waqas works on your project following the steps below.
Revisions may occur after the delivery date.
Source Confirmation & Scope Review
I review the public records source, confirm data availability, identify required fields, and define the full project scope and timeline based on your county or state.
2Automated Data Collection & Extraction
I built a Python automation pipeline to collect records from the target government portal or database, handling pagination, document downloads, and bulk data retrieval in a structured and reliable way.