In the digital age, acquiring structured data from various sources is crucial for content aggregation, analytics, and automation. I developed a high-performance Django-based scraping system, which can be directly deployed on an AWS cloud server, to extract video metadata and content from multiple adult websites.
This robust solution enables automated data collection while bypassing various anti-scraping measures, ensuring a seamless, high-accuracy data extraction process.
The client required a system that could:
✅ Scrape adult videos from websites like Brazzers, VIP4K, Handjob, AdultPrime, NaughtyAmerica, Whorny, Pegas, RevShareCash, SexMax, 5KTeen, etc.
✅ Generate a downloadable CSV file containing:
One of the biggest hurdles was the anti-scraping mechanisms employed by these websites, such as:
🚫 CAPTCHAs & Bot Detection – Implemented headless browser automation (Selenium) and CAPTCHA-solving services to bypass restrictions.
🚫 Dynamic Content Loading (AJAX, JavaScript) – Utilized Scrapy-Selenium hybrid scraping to extract hidden elements.
🚫 IP Blocking & Rate Limiting – Integrated rotating proxies and user-agent spoofing to evade detection.
🚫 Encrypted Video URLs – Reverse-engineered API calls to fetch direct download links securely.
Despite these obstacles, I successfully built a highly efficient and scalable scraping pipeline that consistently delivers structured data with over 98% accuracy.
🔹 Django – Core backend framework for managing scraping workflows.
🔹 Scrapy & Selenium – Powerful combination for scraping static and dynamic content.
🔹 AWS Cloud (EC2, Lambda, S3) – Hosting, processing, and data storage.
🔹 Pandas – Data processing and transformation into structured CSV format.
🔹 Rotating Proxy & User-Agent Spoofing – Bypassing anti-scraping defenses.
🔹 Headless Browser Automation – Interacting with JavaScript-heavy sites.
1️⃣ Phase 1 – Initial Setup & Proof of Concept: Successfully scraped Brazzers as a test case.
2️⃣ Phase 2 – Expansion & Optimization: Applied refined scraping strategies to handle multiple sites.
3️⃣ Phase 3 – Automation & Deployment: Developed a cron-based scheduler for automatic data extraction and CSV generation.
4️⃣ Phase 4 – Scalability & Error Handling: Implemented logging, error-handling mechanisms, and auto-retry strategies to ensure 99% uptime.
✔️ Fully Automated – The system runs on AWS, requiring minimal manual input.
✔️ Daily Video Extraction – Custom admin settings allow defining how many videos to fetch per day.
✔️ Smart Filtering – Fetch only videos above a certain rating or featuring specific performers.
✔️ Bulk CSV Export – One-click CSV generation for easy data processing.
✔️ Multi-Source Aggregation – Scrapes from 10+ high-traffic adult sites with continuous updates.
✔️ Adaptive Scraping – Automatically detects and adjusts to website layout changes.
This project showcases my expertise in web scraping, automation, and cloud deployment. Whether it's scraping adult content, e-commerce products, or social media data, I can build customized, scalable solutions that meet business needs.
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Client Testimonial
"Riken delivered exactly what we needed! The scraping system works flawlessly, even on heavily protected websites. We’ve already referred his services to several partners, and we’ll continue working together on future projects."
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