You will get a clean, structured dataset from public web data (CSV, Excel, JSON)
Project details
Bad data kills good analysis. You'll get a dataset that's clean, deduplicated and ready to use — not a raw dump you have to fix yourself.
I build automated data-collection pipelines in Python (Playwright) that reliably extract publicly available data from complex, dynamic websites — JavaScript-heavy pages, lazy loading, pagination — and deliver it in the exact structure your team needs: CSV, Excel, Google Sheets or JSON.
WHAT YOU GET
► The exact fields you specify — validated, deduplicated and normalized (dates, currencies, formats)
► A delivery report with record counts and coverage per source
► Advanced tier: a scheduled pipeline (daily/weekly), documented code and a setup walkthrough — you own everything, zero lock-in
PROOF, NOT PROMISES
My pipelines run in production: 12,000+ records/day from 12 sources at 97%+ uptime — engineered for reliability and clean output, not one-off scripts.
COMPLIANCE FIRST
I only collect publicly available data, in accordance with each website's terms of service and applicable data-protection laws (GDPR/LGPD). No personal data, no content behind logins or paywalls, no sites that prohibit automated access.
You'll get a sample before the full run.
I build automated data-collection pipelines in Python (Playwright) that reliably extract publicly available data from complex, dynamic websites — JavaScript-heavy pages, lazy loading, pagination — and deliver it in the exact structure your team needs: CSV, Excel, Google Sheets or JSON.
WHAT YOU GET
► The exact fields you specify — validated, deduplicated and normalized (dates, currencies, formats)
► A delivery report with record counts and coverage per source
► Advanced tier: a scheduled pipeline (daily/weekly), documented code and a setup walkthrough — you own everything, zero lock-in
PROOF, NOT PROMISES
My pipelines run in production: 12,000+ records/day from 12 sources at 97%+ uptime — engineered for reliability and clean output, not one-off scripts.
COMPLIANCE FIRST
I only collect publicly available data, in accordance with each website's terms of service and applicable data-protection laws (GDPR/LGPD). No personal data, no content behind logins or paywalls, no sites that prohibit automated access.
You'll get a sample before the full run.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Pages Mined/Scraped | 100 | 1000 | 5000 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100
Addition 10,000 records
+$50
Extra source
+$75About Luan
Specialist BI & Data Analyst | Power BI, SQL, Python & AI Automation
Sao Paulo, Brazil - 1:44 am local time
I'm a Specialist Business Intelligence & Data Analyst with 7 years in financial services. Today I'm the BI partner to finance and C-level leadership in Brazil's largest domestic payment network — and before that I led end-to-end reporting at a Santander Group company. Executive-grade analytics isn't a side skill I offer; it has been my day job for years.
WHAT I DELIVER
► Executive dashboards & data visualization — Power BI, DAX, star-schema data modeling. Revenue, cost, margin and efficiency KPIs that leadership actually uses to decide.
► Data pipelines & ETL — SQL, MySQL, AWS Athena, Oracle, Teradata. From messy raw sources to automated, trusted, always-on reporting.
► AI & LLM integration — transaction and document categorization, automated insights, data extraction, "chat with your data" workflows that turn hours of manual analysis into minutes.
► Python automation & web scraping — Playwright, anti-bot evasion, FastAPI. I built a market-intelligence engine that scrapes 12 protected portals every day (see portfolio).
PROOF, NOT PROMISES
► Trusted with the numbers that steer a top-tier payment network: executive KPI reporting on revenue, costs and margins, reviewed by leadership every month.
► Owned the full BI cycle at a Santander Group company — stakeholder requirements, data modeling, Power BI delivery, client-facing presentations.
► Shipped a complete AI-powered fintech product solo: Open Finance integration with 200+ banks, LLM transaction categorization, a proprietary 0-1000 financial health score.
Certified: CPA-20 (Brazilian securities), ITIL Foundation, Lean Six Sigma Green Belt, LGPD (data protection).
Why clients rehire people like me: I scope precisely, write clearly, and hit the date I committed to — habits you build when your stakeholders are CFOs. Small, well-defined projects are my specialty. If you need answers in days, not weeks, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Luan can start the project.
Delivery time starts when Luan receives requirements from you.
Luan works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & feasibility check
You send the target URLs and the fields you need. I confirm the data is publicly accessible and lock the scope — no surprises later.
Validated sample within 24h
You receive a 50–100 record sample in your chosen format. You approve the structure before I run anything at full scale.