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While scraping, it’s not uncommon to find that certain page elements are visible in the web browser but not in our scraper. This phenomenon is due to dynamic JavaScript data,

Utilizing Playwright for web scraping enables us to navigate pages with infinite scrolling, where content dynamically loads as the user scrolls down. To automate this scrolling, the custom JavaScript function

Python offers a variety of HTTP clients suitable for web scraping. However, not all support HTTP2, which can be crucial for avoiding web scraper blocking. To ensure you’re using the

Web crawling and web scraping are two interconnected concepts in the realm of data collection, each offering unique exploration capabilities. While web crawling refers to the automated process of indexing

cURL stands as a premier HTTP client tool employed for initiating HTTP connections, leveraging the widely-used C language library, libcurl, which covers a broad spectrum of the modern HTTP protocol’s

Python boasts a rich ecosystem of libraries for headless browser manipulation, including popular tools like Playwright and Selenium. Despite their capabilities, seamlessly incorporating these tools into Scrapy projects can often

When utilizing Playwright and Python for web scraping to capture background requests and responses, the integration of a powerful web scraping API can significantly streamline the process. In this context,

While Selenium doesn’t inherently offer request interception functionality, it can be enabled using the selenium-wire extension. Leveraging the best web scraping API alongside selenium-wire, developers can efficiently capture and analyze

Scrape Network’s pipelines are data processing extensions that can modify scraped data before it’s saved by spiders. By leveraging Scrape Network’s web scraping API, developers can enhance their web scraping

Python’s HTTP responses can be viewed in a web browser by saving the contents to a temporary file and then opening it in the default web browser using Python’s web