An in-depth look at how AI-driven anti-bot defenses, SERP reshuffling, and legal/ethical constraints are reshaping Google search crawling after 2025 — and what indie developers and small teams must change in their architecture, ops, and business models to keep their crawlers alive.
An analysis of the top 10 million websites reveals that over a quarter are inactive, highlighting the web's shifting landscape. Using a high-performance scraper, we processed these domains efficiently to uncover the scale of digital decay.
Dive into the world of distributed web crawling with Golang, Docker, and Redis. Learn the logic behind efficient code, use Bloom filters for de-duplication, and optimize storage with Redis Stack. Explore strategies for real-time monitoring and prioritizing scraping tasks
Unlock the potential of the web with a Google-inspired distributed web crawler. Explore scalable solutions using Kubernetes, Golang, Python, NodeJS, Grafana, Prometheus, and the ELK Stack. Learn to navigate the digital landscape, gather data at scale, and gain a competitive edge in business, research, and marketing. Follow step-by-step guides for setting up your development environment,…
Explore building a powerful distributed crawler using Crawlee, a JavaScript-based headless browser, for efficient web scraping of Google Maps. Learn to overcome challenges, implement termination tolerance in Kubernetes, and optimize performance for robust data extraction. Deploy and scale seamlessly with termination safeguards, ensuring data integrity in the dynamic cloud environment.
Embark on a comprehensive journey to construct a powerful TikTok scraper using Golang, Docker, and Kubernetes. Gain insights into website analysis, optimize scraping workflows, and deploy a scalable solution. Uncover strategies to efficiently navigate TikTok's extensive network requests, ensuring cost-effective and streamlined data extraction. From profiling popular videos to exploring entry…
Automate global deployment of a scalable crawler with Celery, RabbitMQ, and Fabric. Learn efficient server configuration and parallel task execution for distributed systems.
Learn to build a scalable Python web crawler using Docker, Celery, and RabbitMQ. No multiprocessing knowledge needed. Effortlessly scale with Docker, send URLs to RabbitMQ, and store results in MongoDB. Explore the upgraded tutorial and GitHub repository for a step-by-step guide. Ideal for Python beginners seeking an efficient distributed crawler solution without handling threads or queues.
Build a Docker cluster with Celery and RabbitMQ for efficient distributed tasks. Learn with a step-by-step guide to handle large tasks on a powerful machine or cloud cluster. Ideal for beginners seeking a quick understanding of Docker, Celery, and RabbitMQ without the need for Django or Flask.