Hire the Best Web Scrapers
in Nepal

I'm a Python web scraping specialist who helps businesses collect useful data from websites in a clean and organized format. I can scrape leads, product data, business listings, contact information and other public data based on your needs. I also build automations that save time by collecting and updating data automatically. My goal is simple: deliver accurate data that helps you make better business decisions. Whether you need a one time scrape or an ongoing automation, I'm here to help.

I build scrapers that keep running when others get blocked. Most scraping jobs fail at the same wall: anti-bot systems. Cloudflare, DataDome, Kasada, Imperva, Akamai, PerimeterX, and F5 Shape stop generic scrapers fast. That is my main focus. I get clean data from sites that are hard to reach. What I do: Web scraping at scale with Python (Scrapy, asyncio, aiohttp) and Playwright Anti-bot bypass and fingerprint handling for protected sites Data pipelines with Kafka, Airflow, Snowflake, PostgreSQL, and S3/Parquet APIs and backends with FastAPI and Node/TypeScript Clean, structured output ready for your database or product I am Top Rated on Upwork and an Apify Ambassador. I run a small data engineering team, so I can take on larger jobs when needed. How I work: I confirm the target and the fields you need before I start I test on a small sample first so you see quality early I give you clear code and simple docs you can maintain If you have a site that keeps blocking you, or a data feed you need built and maintained, send me the details. I will tell you honestly if it is doable and how I would approach it.

Hello! I’m Prakash, a passionate Python developer with over 5 years of experience delivering powerful automation tools, efficient web scrapers, and scalable backend systems using technologies like Django, FastAPI, Selenium, and BeautifulSoup. I specialize in: 🕸️ Web Scraping & Data Mining — Extract structured data from static, dynamic, and login-protected sites ⚙️ Task Automation Scripts — Automate repetitive tasks, data entry, and file operations 📦 REST API Development — Build secure, high-performance APIs using Django Rest Framework or FastAPI 🛒 E-commerce Data Extraction — Scrape product listings, pricing, reviews from Amazon, Shopify & more 🧠 Custom Python Bots — Smart scripts for analytics, scheduling, notifications, etc. ✅ Technologies I Use: Python, Django, FastAPI Selenium, Scrapy, BeautifulSoup Pandas, NumPy, Requests MongoDB, MySQL, SQLite Next.js, React.js (for full-stack projects) 💡 I’m known for: Clean and maintainable code Strong problem-solving skills On-time delivery & clear communication 100% commitment to client satisfaction Let’s bring your idea to life with automation, speed, and precision. I’m always excited to collaborate on new challenges! 📩 Feel free to message me — I respond quickly!

I am a software developer with over 7+ years of experience working with various technologies, specializing in Python and JavaScript for web application development, web scraping, web automation, data engineering, and overall software development. I am expert in web scraping and data engineering with the good number experience as full stack developer as well. I would say I am problem solver. Here are my key skills Web Development: - Backend development with Python frameworks like Django, Flask, and FastAPI - Frontend development using React, Astro, Remix, and Next.js - Knowledge of REST API / GraphQL development and integration - Version control using Git and collaboration through GitHub/GitLab - Proficient in TypeScript for building scalable and maintainable web applications Web Scraping: - Expert in Scrapy framework, with extensive experience in small to large-scale projects - Proficient in Crawlee (Apify) and Playwright for building scalable and efficient web scraping solutions - Skilled in using Selenium/Playwright for automating web browsers and handling dynamic web pages - Experienced in parsing HTML and XML using Beautiful Soup and lxml libraries - Proficient in data extraction techniques, including XPath and CSS selectors, ensuring accurate and complete data extraction - Skilled in designing and implementing scalable and high-performance web scraping solutions using asynchronous programming techniques - Seamless integration of web scraping tools with web frameworks like Django, Flask FastAPI for efficient data flow and storage Data Engineering: - Experience in deploying projects on AWS, GCP, and NAS servers (Synology) - Proficient in containerization and orchestration technologies, such as Docker and Kubernetes - Database management and design using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases - Data processing and manipulation using Python libraries such as Pandas, NumPy, and SciPy - Data visualization using libraries like Matplotlib, Seaborn, and D3.js - Experience with data pipelines, ETL processes, and data warehousing - Familiarity with big data technologies like Apache Spark and Hadoop Other Skills and Frameworks: - Python - JavaScript - TypeScript - Scrapy - Crawlee (Apify) - Playwright - Selenium - Beautiful Soup - lxml - Django - Flask - FastAPI - React - Astro - Remix - Next.js - Node.js - PostgreSQL - MySQL - MongoDB - Pandas - NumPy - SciPy - Matplotlib - Seaborn - D3.js - Apache Spark - Hadoop - Docker - Kubernetes - AWS - GCP - Git - GitHub/GitLab - SnowFlake, Databricks Key Projects and Accomplishments: 1. E-commerce Data Aggregator: Developed a data aggregation platform using Scrapy, collecting product information from multiple e-commerce websites and integrating it with a Django-based application for analysis and visualization. 2. Real Estate Listing Scraper: Engineered a custom web scraping solution using Crawlee (Apify) and Playwright to scrape real estate listings from diverse sources, implementing data normalization techniques for consistency and usability in a Flask-powered application. 3. Competitor Price Monitoring Tool: Designed and implemented a Selenium-based solution for monitoring competitor prices across online retailers, utilizing dynamic scraping techniques to extract pricing information from JavaScript-rendered pages. I am passionate about leveraging my expertise in web scraping, data engineering, and web development to tackle complex data extraction challenges and deliver exceptional results. Let's collaborate to unlock the full potential of your data and drive your business forward.

Programming is my passion and I love the fact how much powerful it can be. Well talking about me ! I am a decent, sincere, hardworking and enthusiast python programmer and a data engineer with more than 4 years of experience in Banking and IT sector. What I love the most is challenges and solve them. My weakness is I never walk away with challenges. During my professional career, I have performed a lot of projects of varying complexity. I specialize in the following areas: ✅ Web Scraping, Scripting and Automation ✅ Web development, data mining, data analytics, and so on. ✅ Beautiful soup, Selenium. Requests ✅ Python: Django, Pandas ✅ Html, JavaScript, React ✅ Oracle, SQL Server, SSRS, Mysql ✅ GoogleSheets, Csv, excel, Json

I design scalable data infrastructure for e-commerce brands, real estate investors, and legal teams that rely on structured intelligence to drive revenue and strategic decisions. I build automated data systems that continuously collect, clean, and structure high-value market data. What I Help With E-Commerce Businesses: Track competitor prices, products, and marketplace data from platforms like Amazon, Woocommerce and Shopify. Real Estate Investors & Agencies: Collect property listings, real estate agents details, owner records, and market trends from platforms such as Zillow to generate better leads and make smarter investment decisions. Legal & Research Teams: Structure court and case data from systems like PACER and Unicourt for monitoring and analysis. What You Can Expect Scalable, production-ready automation Clean, structured datasets Anti-bot & large-scale extraction architecture Ongoing monitoring and maintenance If your business relies on accurate, up-to-date data, I can build the automation system behind it.