To the Hiring Team, With 4+ years of experience in API integrations, automation, and AI-driven systems, I am excited to propose a robust solution for your TikTok video scraping, downloading, and merging project. My expertise in headless browser automation (Playwright), anti-detection systems (proxy rotation, CAPTCHA solving), and video processing (FFmpeg) aligns perfectly with your requirements. Below is a detailed breakdown of my approach, leveraging my proven track record in building scalable, high-performance systems. Solution Overview I will develop an end-to-end system with the following modules: 1. TikTok Scraper with Anti-Detection Unofficial API Integration: Use Python + Playwright to bypass TikTok’s restrictions, mimicking human behavior via: Residential Proxy Rotation: Integrate with services like Luminati or Smartproxy to avoid IP bans. Browser Fingerprint Randomization: Modify headers, user agents, and TLS fingerprints dynamically. Request Throttling: Randomized delays between requests (2–5s) to evade rate limits. Advanced Filtering: Hashtag/keyword search (#trending, #viral) with regex support. Region/language filters (EU/US/Asia) using geolocation headers. Timeframe filtering (last 24h/7d/30d) via TikTok’s implicit timestamp metadata. 2. Video Download & Processing Batch Downloader: Download videos in original quality (MP4/WebM) using a proxy-aware downloader. Metadata Extraction: Capture author, likes, timestamps, and store in structured JSON/CSV. Retry Mechanism: Exponential backoff for failed downloads (max 3 retries). FFmpeg-Powered Merging: Concatenate videos with H.264/AAC codecs (1080p minimum, resolution normalization). Custom layouts: Grid (2x2, 3x3) or sequential (vertical/horizontal). Optional watermark removal using OpenCV or FFmpeg filters. 3. Infrastructure & Scalability Distributed Architecture: Deploy scrapers as Docker containers (Azure/Kubernetes) for parallel execution. Queue-based task management (Redis/Celery) for load balancing. Structured Outputs: Final merged video (MP4) + metadata log (JSON) for analytics. Why My Expertise Fits Proven API/Scraping Experience: Built Shopify-SAP integrations using OData, handling 100K+ records with anti-throttling logic. Developed AI Sales Assistant (LangChain/OpenAI) requiring CAPTCHA-solving and proxy rotation. Video Processing & Automation: Created POS thermal printer integrations (Django) with real-time data routing. Expertise in FFmpeg (used for merging IVR prompts in a telecom project). Anti-Detection Systems: Designed Node-RED nodes for API integrations with GZIP/file encoding handling. Technical Stack Languages: Python (Playwright, FFmpeg), JavaScript (Puppeteer backup) Tools: Playwright, FFmpeg, OpenCV, Docker, Redis, Celery APIs: TikTok Unofficial API, Proxy Services (Luminati/Smartproxy) Infrastructure: Azure Containers, Kubernetes (optional) I’d love to discuss: Your preferred proxy service (I can integrate any provider). Specific layout/merging requirements (e.g., intro/outro overlays). Let’s build a system that’s scalable, undetectable, and production-ready. Reach me at frankbr985gomes@gmail.com or +91 7501083063 to schedule a call.

I’m excited to apply for the TikTok scraping and video processing project. With over 1+ year of experience in JavaScript, Node.js, and API integrations, I have a strong background in building scalable and high-performance web applications using modern frameworks like React.js and Next.js. I am confident that my technical expertise and problem-solving skills will allow me to deliver a robust and efficient solution for your project. ✅ Relevant Experience & Skills: API Integration & Data Handling: Integrated over 300 API endpoints using Postman and optimized API response handling to reduce backend-related frontend errors by 15%. Worked with structured data formats (JSON, CSV) and automated data processing for enhanced performance. Automation & Scraping: Experience in browser automation using Puppeteer and Playwright for data extraction and testing. Skilled in handling anti-detection mechanisms like proxy rotation and CAPTCHA-solving to avoid IP bans. Video Processing: Familiar with FFmpeg for video processing and format conversion. Experience in handling multimedia files and creating batch automation pipelines. Scraping Module: Develop a scraping script using Playwright/Puppeteer for hashtag-based and keyword-based filtering. Set up proxy rotation and browser fingerprint randomization to bypass detection. Data Storage & Processing: Store extracted metadata (author, likes, timestamp) in structured JSON/CSV format. Build retry logic to handle failed downloads. Video Merging: Use FFmpeg to concatenate downloaded videos into a single file. Ensure resolution normalization (1080p) and watermark removal (if required). Provide a final metadata log file in JSON format.