A high-performance, multithreaded command-line tool for downloading images from webpages.
ImageScraper is a Python-based command-line tool that downloads images from webpages quickly and efficiently. It uses multithreading to handle multiple downloads simultaneously and offers various options to filter images by format, size, and count. The tool solves the problem of manually saving images by automating the process with customizable parameters.
Developers, researchers, and data enthusiasts who need to batch-download images from websites for projects like datasets, web archiving, or content aggregation.
Developers choose ImageScraper for its high performance due to multithreading, ease of use via a simple CLI, and extensive filtering capabilities that allow precise control over what images are downloaded, all in a lightweight package.
:scissors: High performance, multi-threaded image scraper
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Uses multiple threads for concurrent downloads, significantly speeding up the process, as highlighted in the multithreaded performance feature.
Allows filtering by count, size, format, and filename patterns using regex, enabling precise control over downloads, as shown in the options section.
Includes an option to route downloads through a proxy server for enhanced privacy or access, mentioned in the proxy support feature.
Offers a straightforward command-line usage with clear options, making it easy to automate tasks, evidenced by the simple examples and usage instructions.
Cannot scrape images injected via JavaScript, as admitted in the issues section, limiting its effectiveness on modern dynamic websites.
Requires system packages like libxml2-dev for lxml compilation, which can complicate setup on some environments, as noted in the dependencies section.
The ability to use it in Python scripts is marked as deprecated, reducing flexibility for developers who prefer programmatic integration.
The README does not mention robust error recovery or retry mechanisms, which could be a drawback for unreliable networks or failed downloads.