Muhammad F.
Web Scraping & PDF Data Extraction Specialist | Python ETL & CRM
Web Scraping & PDF Data Extraction Specialist | Python ETL & CRM Automation Struggling with data trapped in PDFs, websites, or spreadsheets and tired of paying someone to copy-paste it manually? I build Python systems that turn messy, unstructured data into clean, structured output your team can actually use in a CRM, database, or spreadsheet. Recent examples of what I've built: ā A pipeline that extracts artwork images and metadata from PDF gallery catalogs, pairs them automatically, and enriches the text using AI cutting a process that took days of manual entry down to minutes per catalog, running live across local and cloud servers. ā A multi-region e-commerce arbitrage system that scrapes product data, matches it against Amazon listings via the Keepa API, handles multi-currency conversion, and syncs results live to Google Sheets processing thousands of products with zero manual lookup. ā Lead generation and enrichment pipelines that scrape business data, verify contact info, and push qualified leads directly into CRMs and Airtable reducing manual research from days to hours. What I work with: Python, Scrapy, Selenium, Playwright, BeautifulSoup Ā· REST & GraphQL APIs Ā· PostgreSQL, MySQL, MongoDB Ā· AWS, Google Cloud, DigitalOcean Ā· Airtable, Google Sheets, GoHighLevel integration I handle the full path from raw data to working automation not just extraction, but the cleaning, validation, and delivery into whatever system runs your business. If manual data work is currently slow, error-prone, or eating your team's time, let's talk about what an automated solution would look like.