Muhammad Jawad A.

Need reliable website data, automated workflows, or clean datasets for your AI application? I build Python web scrapers, API integrations, and data pipelines that turn scattered information into structured, usable data—helping businesses reduce manual work and keep their information current. I’m a Python Data Engineer and Web Scraping Specialist with experience extracting millions of records from 5,000+ websites across healthcare, real estate, e-commerce, finance, and research. Whether you need a one-time extraction, a scheduled scraper, or a pipeline feeding your application, I focus on accurate output, reliable execution, and maintainable code. My work covers complex websites, dynamic pages, directories, marketplaces, and APIs. I handle pagination, geographic searches, advanced filters, authentication, cookies, session management, and data from multiple sources. I also troubleshoot broken scrapers, investigate missing records, and improve existing systems with validation, logging, retries, and performance optimization. For businesses building AI applications, I help prepare the data those applications depend on. This includes collecting and organizing content for AI assistants, searchable knowledge bases, and retrieval-augmented generation (RAG) applications. I clean and deduplicate records, preserve source URLs and metadata, and automate updates so downstream systems have traceable, current information to work with. At J2 Health, I worked on healthcare provider directory scraping and data automation using Python, reusable YAML configurations, and multiprocessing. My responsibilities included complex API requests, geographic searches, pagination, insurance mapping, and data normalization. Previously, at Qavi Technologies, I built scraping and automation solutions across 1,000+ websites for research, financial analysis, real estate, and e-commerce projects. My project experience includes healthcare provider directories, property data and county image collection, court record extraction and rule-based filtering, a search engine using data from 100+ universities, marketplace product monitoring, and stock market and cryptocurrency API automation. I work with Python, Scrapy, Playwright, Selenium, BeautifulSoup, Requests, Pandas, FastAPI, PostgreSQL, SQLAlchemy, Linux, and Bash. Depending on your workflow, I can deliver data in CSV, Excel, JSON, or a database, or connect it directly to your application through an API. I start by understanding your sources, required fields, data volume, and update frequency, then validate sample output before scaling. You can expect clear communication, practical solutions, documented code, and a straightforward handover. Send me your target website or API, the information you need, and your preferred output. I’ll help you build a reliable workflow that saves time and delivers data your team can use.