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Вивчайте Challenge: Threaded Web Scraper | Advanced Patterns and Best Practices
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Python Multithreading and Multiprocessing

bookChallenge: Threaded Web Scraper

Imagine you are tasked with collecting information from a list of web pages, such as fetching the latest news headlines or product prices from several sites. Doing this sequentially—one after another—would be slow, especially if some pages take longer to respond. To speed up the process, you want to fetch multiple pages at the same time using threads. This approach allows you to make the most of waiting times, retrieving data from several sites concurrently and processing results as soon as they arrive.

Завдання

Swipe to start coding

Your goal is to implement a threaded web scraper that fetches the content of multiple URLs in parallel and processes the results.

  • Complete the function fetch_url_content(url) so that it downloads and returns the first 100 characters of the response content from the provided url.
  • In the main() function, use the threading module to start a new thread for each URL in the urls list, where each thread calls fetch_url_content(url) and prints the result in the format: Content from {url}: {snippet} where {url} is the URL and {snippet} is the first 100 characters returned by fetch_url_content.
  • Ensure the main thread waits for all threads to finish before exiting.

Рішення

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Suggested prompts:

Can you explain how threading helps speed up web scraping?

What are some potential issues to watch out for when using threads for web scraping?

Can you show me a simple example of fetching multiple web pages using threads?

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bookChallenge: Threaded Web Scraper

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Imagine you are tasked with collecting information from a list of web pages, such as fetching the latest news headlines or product prices from several sites. Doing this sequentially—one after another—would be slow, especially if some pages take longer to respond. To speed up the process, you want to fetch multiple pages at the same time using threads. This approach allows you to make the most of waiting times, retrieving data from several sites concurrently and processing results as soon as they arrive.

Завдання

Swipe to start coding

Your goal is to implement a threaded web scraper that fetches the content of multiple URLs in parallel and processes the results.

  • Complete the function fetch_url_content(url) so that it downloads and returns the first 100 characters of the response content from the provided url.
  • In the main() function, use the threading module to start a new thread for each URL in the urls list, where each thread calls fetch_url_content(url) and prints the result in the format: Content from {url}: {snippet} where {url} is the URL and {snippet} is the first 100 characters returned by fetch_url_content.
  • Ensure the main thread waits for all threads to finish before exiting.

Рішення

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Все було зрозуміло?

Як ми можемо покращити це?

Дякуємо за ваш відгук!

Секція 4. Розділ 4
single

single

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