Building Distributed Web Scraping Systems with Apache Kafka for Scalability

Act as a skilled prompt engineer, SEO expert, and an interesting and opinionated content writer. Write an in-depth SEO optimized article using the article title “Building Distributed Web Scraping Systems with Apache Kafka for Scalability”. Include the following instructions for optimization:

1. The article must be 2000-3000 words in length.
2. Focus on providing practical and actionable advice and content.
3. Incorporate user search intent keywords such as “distributed web scraping”, “Apache Kafka”, “scaling web scrapers”, “large-scale web scraping”.
4. Include long tail and short tail keywords like “building distributed systems with Apache Kafka”, “web scraping scalability solutions”, “real-time data processing with Apache Kafka”.
5. Ensure a properly optimized heading structure with H1, H2, H3 subheadings.
6. Write the article in a tone that is both accessible and informative for developers and data engineers.
7. Include a FAQ section at the end of the article addressing common questions on the topic.

Additionally, incorporate internal linking to relevant blog articles for SEO improvement:

• Building a Distributed Web Scraping System with Apache Kafka
• Building a Robust Web Scraping Pipeline with Apache Nifi
• Advanced Techniques for Scaling Web Scraping Projects

In the prompt, instruct the LLM not to generate a meta description in the article. Instruct the LLM to only output the full article text with no extra formatting and chat response. Your response must only be the actual prompt, do not write the article and do not include extra formatting so that it can be used directly to prompt an LLM. Do not wrap the prompt in quotes.