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I build production-grade Python-based data extraction and Web Scraping systems that survive where others fail. Projects range from focused data extraction tasks to large-scale Anti-Bot resilient infrastructures — each engineered for stability, performance, and long-term reliability. Over 12+ years, I’ve designed extraction systems processing 1B+ structured records across marketplaces, aggregators, AI/ML platforms, competitive intelligence systems, and enterprise catalogs. My systems are built using Python, Scrapy, Playwright, and Selenium — combining Web Scraper development, Data Mining, API Integration, and ETL pipeline design into stable, production-grade architectures. Whether you need a targeted scraping solution or a high-volume distributed pipeline, I architect the right system. When data becomes mission-critical — reliability matters more than code. ────────────── What I Build ────────────── • Custom Python Web Scraper and Data Extraction systems aligned with business logic • Scalable web crawlers handling anything from selective datasets to millions of pages • Continuous update pipelines (batch & incremental ETL workflows) • Queue-based distributed processing • High-concurrency execution models • API-based data extraction and system integrations • Clean ingestion into PostgreSQL / MySQL / APIs / cloud storage • Automated validation, deduplication & anomaly detection • Structured Data Mining pipelines for growing datasets You receive structured, business-ready datasets — not scripts to babysit. ────────────── Anti-Bot & Protection Layers ────────────── Modern platforms are protected.I work inside environments guarded by: - Cloudflare (403 / 429 / Turnstile) - DataDome behavioral detection - Akamai Bot Manager - PerimeterX - Reverse engineering of detection vectors & TLS/JA3 fingerprint alignment - Headless & browser fingerprint detection - hCaptcha / reCAPTCHA v3 Enterprise - Sustainable session & token lifecycle management This is not proxy swapping. This is controlled, sustainable access engineering. ────────────── Scale & Cost Control ────────────── As volume increases, scraping typically fails in two ways: 1) Stability collapses 2) Infrastructure & proxy costs explode I optimize concurrency models, routing logic, batching strategy, request distribution, and traffic patterns to maintain high throughput with controlled infrastructure load. Where relevant, I reduce proxy and infrastructure costs by up to 30% while preserving system stability. Result: High uptime. Predictable performance. Controlled margins. ────────────── Future-Proofing ────────────── Websites evolve. Structures change. Protection layers update. I implement structural drift monitoring and heartbeat systems that detect site changes before pipelines fail — shifting from reactive recovery to proactive control. Most developers fix scraping after it breaks. I design systems that minimize breakage from the start. ────────────── Who This Is For ────────────── • Founders building data-driven products • AI/ML teams requiring proprietary datasets • Businesses automating competitive intelligence or market tracking • Companies where reliable data access supports growth ────────────── Confidence Check ────────────── If needed, I can provide a working sample before full engagement to demonstrate data quality and bypass stability. To get started, send: - Target website(s) - Required data fields - Expected volume - Update frequency - Preferred output format Whether you're starting with a focused scraping task or building a large-scale data infrastructure — let’s build it properly.

Software Engineer with 4+ years of engineering experience specializing in enterprise data infrastructure and large-scale web automation systems. 🎯 Core Competencies: • Agentic Workflows & AI Automation: Architecting complex, stateful multi-agent systems using LangGraph, CrewAI, and n8n. Designing self-healing loops, autonomous error recovery, and tool-calling validation pipelines with exceptional reliability. • Multimodal AI Vision & Agentic OCR: Implementing cutting-edge visual parsers (LlamaParse, Docling, GPT-4o Vision, Azure AI Document Intelligence) to extract schema-compliant JSON data from visually dense documents, complex tables, and unseen invoice layouts. • Anti-Detection Engineering & AI-Bypass: Bypassing enterprise security barriers (Cloudflare, Akamai, DataDome), TLS/HTTP2 fingerprint matching, and rotating residential proxy routing. • Production-Grade Data Infrastructure: Engineering highly scalable, distributed scraper fleets capable of handling over 10 million daily requests without performance degradation or IP bans. • Enterprise ETL & Integration: Delivering structured data directly to BigQuery, PostgreSQL, AWS S3, Snowflake, and vector databases with real-time anomaly detection. 🛠️ Technical Stack: • AI & Orchestration: LangGraph, CrewAI, AutoGen, LlamaIndex, LangChain, OpenAI/Claude APIs. • Automation & Scraping: Python (Scrapy, AsyncIO), Playwright, Puppeteer Stealth, Selenium Grid, Bright Data Agent Browser. • Data Engineering: Apache Airflow, dbt, Pandas, custom ETL frameworks. • Platforms & Workflow Tooling: n8n, Make .com, Docker, Kubernetes. • Infrastructure & Message Queues: Redis, RabbitMQ, Rotating Residential Proxies. • Databases & Vector Stores: BigQuery, PostgreSQL, MongoDB, AWS S3, Google Cloud Storage, FAISS, Pinecone. 💼 Ideal For: • Enterprise operations seeking to automate repetitive back-office tasks, financial document parsing, or complex manual reviews using AI Vision. • Market intelligence agencies requiring highly reliable, long-term web data harvesting pipelines under strict SLA guarantees. • Product teams building RAG-based systems requiring continuous, high-quality, pre-parsed markdown data feeds from dynamic web sources . • Organizations deploying multi-agent swarms requiring production monitoring, comprehensive logging, and enterprise security.

Reliable web scrapers & data pipelines that turn messy public data into clean, decision-ready datasets — at scale (100K+ records/day). 100% Job Success · 5.0★ · previously built 100,000+ RPS systems at ByteDance. I help teams collect, clean, and visualize data they can act on — from large-scale scraping to ETL pipelines and interactive dashboards. I care about clarity, reliability, and compliant data collection (robots.txt, ToS, rate limits, rotating proxies). What I deliver ✅ Web & social scraping (public data): Twitter/X, Instagram, YouTube, news, e-commerce ✅ ETL pipelines: cleaning, normalization, deduplication, scheduling, alerting ✅ Dashboards & data-viz: React/TypeScript, ECharts/D3, filters, maps, CSV/PDF export ✅ APIs & integrations: REST, auth, pagination, caching ✅ Deployment & handover: Docker, CI/CD, cron/Airflow, clear docs + maintenance plan Recent results • Pipelines processing 100K+ records/day across Twitter/IG/YouTube/news for sentiment & NER analysis • Operated an 8-server HPC cluster — reliability +25%, processing time −40% • Distributed scrapers with queueing (RabbitMQ) + monitoring (Grafana/Prometheus), ~99% uptime 🧰 Stack — Python (Scrapy, Playwright, Selenium, BeautifulSoup, Pandas), Node.js, PostgreSQL/MongoDB/Elasticsearch, Airflow/Prefect/Cron, RabbitMQ, Docker, GitHub Actions, GCP/AWS · React, TypeScript, Next.js, ECharts/D3. Available for long-term collaboration and one-off projects. Tell me about your data and the decision it needs to drive — I'll propose the simplest reliable approach.

I help businesses automate repetitive web-based processes and extract critical data reliably, so teams can save time, reduce errors, and scale operations without increasing headcount. I’m a Software Bot Developer with over 4 years of hands-on experience, currently working at a financial institution, where I design and maintain production-grade automation bots for high-accuracy, data-sensitive workflows. If your team is manually logging into systems, verifying data, or copying information between platforms — that process can be automated. 🔧 What I Can Help You With ✔ Web scraping & structured data extraction ✔ Web automation (login, form submission, verification workflows) ✔ Python-based RPA using Selenium & Playwright ✔ Excel / CSV → Database automation ✔ API integration & backend automation ✔ Reliable bots with logging, retries & error handling My focus is always on stability, accuracy, and long-term usability — not fragile scripts that break after deployment. 🔹 Financial & Government Portal Automation Built bots that handle authentication, 2FA, captcha, dynamic pages, validations, and edge cases where accuracy is critical. 🔹 Data Extraction & Processing Automated extraction from complex web interfaces and converted raw data into clean, usable formats for databases and reports. 🔹 Backend-Supported Automation Integrated automation workflows with APIs and databases using Flask / FastAPI to support scalable systems. 🛠 Tools & Technologies • Python • Selenium, Playwright • Web scraping & automation • SQL & database design • Flask, FastAPI, Django • Excel & data processing ✅ Why Clients Choose Me • Clear communication and realistic timelines • Clean, maintainable Python code • Strong focus on reliability & edge cases • Experience with enterprise-level systems I approach every project like something I’ll need to maintain long-term, not just deliver and disappear. 📩 Let’s Get Started Send me a message with your workflow or automation idea, and I’ll suggest the best approach to automate it — even if you’re still evaluating options.

I build resilient backend systems, robust test automation frameworks, and high-performance web scraping pipelines. As a core Python developer, I focus on engineering maintainable and scalable software architecture rather than just writing scripts. Whether it’s a production-grade API, a stable end-to-end test suite, or complex data extraction from protected websites, I deliver clean and reliable solutions. What I Do Best: ✅ Python Backend Development Design and scale robust backends, RESTful APIs, and efficient data processing systems with a strong focus on performance and maintainability. ✅ QA Automation & End-to-End Testing Build stable, flake-free automation frameworks using Playwright and Selenium (Python & TypeScript), including complex UI handling such as iframes, Shadow DOM, and multi-tab workflows. ✅ Advanced Web Scraping Develop high-success-rate scraping systems for modern web architectures, including handling anti-bot protections like Cloudflare, Akamai, and DataDome. ✅ Process Automation Automate repetitive browser workflows and API integrations to reduce manual effort and improve operational efficiency. Tech Stack & Expertise: ✅ Languages: Python, TypeScript, JavaScript, SQL ✅ Frameworks: Playwright, Selenium, PyTest, FastAPI, Flask, Django ✅ Specializations: Backend architecture, API integration, bot mitigation strategies, cross-browser testing, CI/CD automation Let’s connect to build reliable, scalable, and production-ready systems with strong confidence in backend stability and data automation.

💡 Top 3% Talent on Upwork 💡 250+ Projects Completed | 5 ⭐ Reviews 💡 $100K+ earned with consistent 5-star feedback 💡 2000+ Hours Logged on Upwork 💡 5+ Years of Experience 💡 Clean code, fast delivery, and long-term support Looking for someone who can extract clean, structured, and accurate data from publicly accessible or client-authorized websites? Then you’re in the right place ✅ I specialize in building custom web data extraction and automation solutions that help businesses save hundreds of hours of manual work, improve data accuracy, and streamline workflows. ✅ Technologies I Use Programming Languages Python, Node.js, PHP, C# Data Extraction & Automation Selenium, Playwright, Puppeteer, Scrapy, BeautifulSoup, Cheerio Databases MySQL, PostgreSQL, MongoDB, Firebase, Supabase, SQL Server Data Delivery & Integrations Google Sheets, Excel, CSV, JSON, API integrations Infrastructure & Deployment VPS, Scheduled Automation, Cloud-Based Deployments ✅ What You Will Get ✔ Clean, well-structured data ✔ Fast turnaround ✔ Error-free automation ✔ Documentation (optional) ✔ Ongoing support & maintenance Regards Muhammad Fahad