Web Scraping & Data Extraction by Gabriel LeiteWeb Scraping & Data Extraction by Gabriel Leite
Web Scraping & Data ExtractionGabriel Leite
Cover image for Web Scraping & Data Extraction
I extract structured data from websites and deliver it in clean, usable formats such as CSV, JSON, or spreadsheets. Ideal for research, monitoring, pricing, and competitive intelligence workflows. Reliable automation replaces manual copy-and-paste tasks.

What's included

Automated data extraction from website(s)
Automated extraction of structured data from one or multiple websites. Supports products, listings, articles, pricing, real estate, and other public catalog data.
Clean Data Output
Data delivered in clean, machine-readable formats such as CSV, JSON, or Excel. Includes normalized fields such as titles, prices, categories, inventory, or metadata depending on the dataset.
Data Cleaning & Deduplication
Processing step to remove duplicates, fix formatting inconsistencies, standardize numeric fields, and ensure values are usable for analysis or import.
Workflow Automation
Scheduling logic to automatically re-run the extraction on a daily, weekly, or monthly basis. Reduces manual effort and keeps data continuously updated.
Documentation
Short documentation explaining how to update, re-run, or modify the extraction workflow, as well as how to interpret the output data.
Starting at$120
Schedule a call
Duration1 week
Service provided by
Gabriel Leite proPenha, Brazil
3
Followers
Web Scraping & Data ExtractionGabriel Leite
Starting at$120
Schedule a call
Duration1 week
Cover image for Web Scraping & Data Extraction
I extract structured data from websites and deliver it in clean, usable formats such as CSV, JSON, or spreadsheets. Ideal for research, monitoring, pricing, and competitive intelligence workflows. Reliable automation replaces manual copy-and-paste tasks.

What's included

Automated data extraction from website(s)
Automated extraction of structured data from one or multiple websites. Supports products, listings, articles, pricing, real estate, and other public catalog data.
Clean Data Output
Data delivered in clean, machine-readable formats such as CSV, JSON, or Excel. Includes normalized fields such as titles, prices, categories, inventory, or metadata depending on the dataset.
Data Cleaning & Deduplication
Processing step to remove duplicates, fix formatting inconsistencies, standardize numeric fields, and ensure values are usable for analysis or import.
Workflow Automation
Scheduling logic to automatically re-run the extraction on a daily, weekly, or monthly basis. Reduces manual effort and keeps data continuously updated.
Documentation
Short documentation explaining how to update, re-run, or modify the extraction workflow, as well as how to interpret the output data.
$120