You will get a Python data pipeline for construction permits property & project records
Rising Talent
Project details
We build Python data pipelines for the construction industry — processing permit records, property data, and project information into clean, structured databases.
Python (46%) and Playwright (20%) handle the heavy lifting, with PostgreSQL for storage when your data needs a real database instead of spreadsheets. We process thousands of records with built-in validation and deduplication.
What you get:
• Automated processing of permit records, property data, and contractor listings
• Data validation: duplicate detection, format checks, completeness scoring
• Structured delivery to PostgreSQL, CSV, Excel, or Google Sheets
• Source code included — run the pipeline yourself on your schedule
The #1 concern construction data clients raise is format (41%) — we deliver exactly the structure you need. Every project starts with a test batch so you can verify accuracy before scaling.
Python (46%) and Playwright (20%) handle the heavy lifting, with PostgreSQL for storage when your data needs a real database instead of spreadsheets. We process thousands of records with built-in validation and deduplication.
What you get:
• Automated processing of permit records, property data, and contractor listings
• Data validation: duplicate detection, format checks, completeness scoring
• Structured delivery to PostgreSQL, CSV, Excel, or Google Sheets
• Source code included — run the pipeline yourself on your schedule
The #1 concern construction data clients raise is format (41%) — we deliver exactly the structure you need. Every project starts with a test batch so you can verify accuracy before scaling.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Pages Mined/Scraped | 500 | 5000 | 50000 |
Number of Sources Mined/Scraped | 1 | 3 | 10 |
Number of Revisions | 0 | 0 | 0 |
Optional add-ons
You can add these on the next page.
Additional Page Mined/Scraped
+$5
Additional Source Mined/Scraped
+$50
Additional Revision
+$25Frequently asked questions
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PW
Paul W.
Mar 1, 2026
Dog Meme Facebook Page Research
Alvaro is professional, reliable, and easy to work with. Communication was clear throughout, instructions were followed accurately, and everything was delivered on time. A smooth, hassle-free experience from start to finish. I would thoroughly recommend him to other prospective employers and will be happy to use his services again when needed.
About Alvaro
Web Scraping & Data Extraction | Python | Lead Generation Automation
Lisbon, Portugal - 9:49 am local time
We build automated data extraction systems that replace hours of manual work with reliable, scheduled pipelines. From simple product pages to Cloudflare-protected platforms, login-walled dashboards, and JavaScript-heavy SPAs if the data is on a website, we extract it.
What we deliver:
→ Lead Generation Pipelines
Google Maps, business directories, court records, real estate listings. Targeted extraction by niche and location, contact enrichment (email, phone, company size, decision-maker data), delivered as verified lists ready for your CRM. Our flagship pipeline chains Google Places API → website crawling → Apollo enrichment, producing 200+ verified B2B leads per week with zero manual work.
→ Custom Web Scrapers
Config-driven, error-handled, production-grade. Built to run unattended on schedule and recover from failures automatically. We handle anti-bot systems — rotating proxies, CAPTCHA solving, fingerprint management, Cloudflare bypass — so you get consistent data even from protected sources.
→ E-commerce & Market Intelligence
Product data, pricing, reviews, inventory levels. Competitor monitoring on Amazon, Shopify stores, and marketplaces. Scheduled extraction with change detection so you know when prices move or products change.
→ Structured Data Delivery
CSV, JSON, Excel, Google Sheets, or direct database delivery (PostgreSQL, MongoDB). Cleaned, deduplicated, validated, formatted exactly how your team needs it. Every delivery includes a data quality report with fill rates per field.
Tech stack:
Python, Scrapy, Selenium, BeautifulSoup, Requests, Pandas. Anti-bot bypass with residential proxies, browser fingerprint rotation, and session management. Cloud deployment on AWS and GCP for scheduled, unattended operation.
Industries we've worked with:
Real estate (probate records, property listings), B2B sales (lead generation, contact enrichment), e-commerce (product monitoring, price tracking), estate sales (inventory aggregation).
Every project includes:
• Response within 2 hours on business days
• Sample extraction before full run — you validate the data before we scale
• Clean, documented code that you own and can maintain or extend
• Post-delivery support to handle any edge cases
Currently accepting new projects. Send me your target website or data source I'll reply with a feasibility assessment, timeline, and sample data within 24 hours.
Steps for completing your project
After purchasing the project, send requirements so Alvaro can start the project.
Delivery time starts when Alvaro receives requirements from you.
Alvaro works on your project following the steps below.
Revisions may occur after the delivery date.
Analyse data sources and design the pipeline
We review your target records, test access patterns, and design the processing and storage architecture
Build the pipeline and validate with a test batch
We develop the Python pipeline, run a test batch of real construction records, and share for your review