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I am a Data Extraction Specialist focused on web scraping, automation, and structured data collection from complex sources. I help businesses and individuals collect accurate data from websites, documents, images, PDFs, and other digital sources efficiently using Python-based solutions. I work with both static and dynamic websites, including JavaScript-heavy platforms, and can handle different extraction approaches such as browser automation, direct API extraction, and custom scraping workflows depending on the target system. Some of the platforms and sources I have worked with include e-commerce websites, business directories, government websites, maps platforms, and professional networking sites. Here are some of the services I provide: ✅ Web Scraping from Static & Dynamic Websites ✅ Data Extraction from PDFs, Images, and Documents ✅ API Data Extraction & Automation ✅ Lead Generation & Business Data Collection ✅ Large-Scale Data Gathering (100k+ records) ✅ Data Cleaning & Structuring ✅ Browser Automation & Repetitive Task Automation ✅ CSV / Excel / JSON / Database Ready Outputs Technical tools and technologies I commonly use: 🔹 Python 🔹 Playwright 🔹 Selenium 🔹 Scrapy 🔹 BeautifulSoup 🔹 Requests 🔹 Pandas 🔹 SQL 🔹 OCR / Tesseract 🔹 OpenCV 🔹 Regex 🔹 curl_cffi I also understand the real-world challenges involved in data extraction, including dynamic content loading, hidden results, rate limits, CAPTCHA systems, and changing website structures. I always aim to build reliable and efficient extraction solutions while maintaining clear communication with clients regarding project feasibility and long-term maintenance requirements when necessary. One thing that makes my workflow different is that 𝐈 𝐜𝐚𝐧 𝐩𝐫𝐨𝐯𝐢𝐝𝐞 𝐬𝐚𝐦𝐩𝐥𝐞 𝐨𝐮𝐭𝐩𝐮𝐭 𝐛𝐞𝐟𝐨𝐫𝐞 𝐚 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐬𝐭𝐚𝐫𝐭𝐬, 𝐚𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐭𝐨 𝐯𝐞𝐫𝐢𝐟𝐲 𝐭𝐡𝐞 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐟𝐞𝐚𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐛𝐞𝐟𝐨𝐫𝐞 𝐦𝐨𝐯𝐢𝐧𝐠 𝐟𝐨𝐫𝐰𝐚𝐫𝐝. My goal is simple: reduce manual work, automate repetitive processes, and deliver clean, structured, and usable data that saves time and improves efficiency. If you need a reliable partner for data extraction, web scraping, or automation tasks, feel free to send me a message.

Hello! 👋 My name is Muhammad Amin, I am from Indonesia. I am a web developer and data engineer with over 7 years of experience. I have a diverse skill set that includes proficiency in Python, PHP Codeigniter, and Node.js, as well as expertise in cloud platforms like GCP, Azure, and AWS. Beyond my professional experience, I have a strong foundation in data science and machine learning, which I've developed through various online courses and certifications from platforms such as Datacamp, Coursera, and Dicoding. I'm passionate about learning and continuously improving my skills in these fields. Feel free to check out my GitHub portfolio to see some of my work! I'm always happy to connect, so don't hesitate to reach out if you have any questions or just want to chat. 😊 Github: amien1410

I have professional experience with years as a data extraction specialize in web scraping, crawling, scrapy, scrape Dynamic Pages, using Python, and most other tools in web scraping. Aside of web scraping, I have front-end development experience, which helps me better understand modern website structures and build more stable scraping solutions. I Have a good track record of completed projects working as an individual contractor as well as multiple years of experience in a corporate environment.

14 years of experience working on wide range of web and mobile applications for enterprises and small businesses. Strong expertise on both back-end and front-end development, strong problem-solving and debugging skills, passionate about delivering clean, efficient, and maintainable code, adhering best practies, also able to work in a team or alone. Currently available for full-time/part-time/long-term jobs and ready to start immediately. Skills: - Ruby, Ruby on Rails - Node.js, JavaScript, TypeScript, React, Vue.js, jQuery - React Native, NativeScript - Tailwind CSS, Twitter Bootstrap, Zurb Foundation - PostgreSQL, MySQL, SQLite, MongoDB, Redis, Elasticsearch - BDD, TDD, RSpec, Capybara, Cucumber, FactoryBot - HTML5, Haml, Slim - CSS 3, SCSS, Less - Regex Writing, Web Crawler, Data Scraping, Browser Extension - Heroku, Amazon RDS, Amazon S3 - Resque, Sidekiq - Git - Linux System Administration - Adobe Illustrator, Adobe Photoshop, Adobe After Effects, Figma, SketchUp

I am a Software Engineer specializing in enterprise data infrastructure and large-scale web automation systems. With 4+ years of engineering experience, I architect robust, maintainable data pipelines that power business intelligence at scale. 🎯 Core Competencies: • ETL Architecture: Designing production-grade data pipelines (Python/TypeScript) with automated validation, schema enforcement, and error handling • Anti-Detection Engineering: Bypassing enterprise-grade protections (Cloudflare, Akamai, DataDome) with 95-99% success rates using headless browser clusters and request fingerprinting • Data Infrastructure: Building distributed scraping architectures capable of handling 10M+ daily requests with auto-scaling, queue management, and real-time monitoring • Cloud Integration: Seamless data delivery to BigQuery, PostgreSQL, AWS S3, Snowflake, and data warehouses with optimized loading strategies 🛠 Technical Stack: • Languages: Python (Scrapy, AsyncIO), TypeScript/Node.js • Automation: Selenium Grid, Puppeteer Cluster, Playwright with stealth plugins • Data Engineering: Apache Airflow, dbt, Pandas, custom ETL frameworks • Infrastructure: Docker, Kubernetes, Redis, RabbitMQ, rotating residential proxies • Storage: BigQuery, PostgreSQL, MongoDB, AWS S3, Google Cloud Storage 💼 Ideal For: • Companies needing reliable, long-term data extraction infrastructure • ETL pipeline development and data warehouse integration • Complex automation requiring custom browser engineering • High-volume scraping requiring distributed worker architectures and SLA guarantees Why Enterprise Clients Choose Me: ✓ Engineering-First Approach: I write clean, documented, version-controlled code not brittle scripts ✓ Scalability by Design: Systems built to grow from thousands to millions of records without rewrites ✓ Data Integrity: Automated quality checks, deduplication, and schema validation at ingestion ✓ DevOps Ready: CI/CD integration, containerized deployments, and comprehensive logging

For over 5 years, I've passionately leveraged Python to transform complex challenges into elegant code. I specialize in helping businesses boost efficiency and make smarter decisions by automating tasks, extracting valuable web data, building robust software, and laying solid data foundations. ================================================================================== My deep dive into a range of technologies allows me to build solutions that genuinely make a difference: - Workflow Automation: I build custom automation solutions to streamline operations, using n8n for integrations and bespoke Python scripts to eliminate manual grind and boost efficiency. Examples: Developing AI agent chatbots for automated customer support; automating lead generation and qualification processes. - Web Scraping & Data Extraction: My expertise in web scraping ensures reliable data extraction. I build robust, ethical scrapers using Selenium (dynamic content) and Httpx/Requests/Aiohttp with BeautifulSoup4/Selectolax for high-volume, clean, and structured data capture. Examples: Facilitating data migration from eBay to Shopify; automating lead generation by extracting public contact information. - Python Development: I craft clean, efficient, and production-ready Python code. My development expertise spans standalone utilities, scalable web applications, and APIs, leveraging frameworks like Django, Flask, and FastAPI for high performance and maintainability. Examples: Integrating external applications with Shopify via GraphQL API; building custom RESTful and GraphQL APIs for various business needs. - Data Engineering: I build the backbone for data-driven insights, designing and implementing robust ETL/ELT pipelines. I leverage Airflow for orchestration, DBT for transformations, and Pandas/PySpark for processing. I'm proficient with modern ingestion tools like Airbyte and various cloud-native data ingestion services, ensuring data is clean, accessible, and ready for analysis. Examples: Designing a daily data pipeline from disparate sources to a data warehouse; optimizing existing ETL processes for improved performance and reliability. ================================================================================== My toolkit also includes experience with key platform services: - Cloud Environments: Experienced with scalable infrastructure and data services on GCP, AWS, and Azure. - E-commerce Ecosystems: Familiar with Shopify and Ebay for unique integration and data challenges. - AI Integration: Applying OpenAI/ClaudeAI, and Gemini to infuse smart capabilities into solutions. ================================================================================== Having worked with several clients who've valued my impact, my commitment is to be a valuable asset to your company, streamlining operations, unlocking actionable insights, and building a solid, future-proof data foundation. I'm fluent in English (spoken and written), ensuring clear communication. Let's discuss your project!