Analysis updated 2026-07-04 · repo last pushed 2022-12-08
Download dozens or hundreds of images from a single web page without manual right-clicking.
Build a mood board by scraping inspiration images from design gallery websites.
Assemble a dataset of pictures from web sources for training an AI model.
| krishnaik06/image-webscrapper | hadriansecurity/openhack | zhou210712/claude-for-legal-zh | |
|---|---|---|---|
| Stars | 39 | 39 | 39 |
| Language | Python | Python | Python |
| Last pushed | 2022-12-08 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 2/5 | 4/5 | 3/5 |
| Audience | developer | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Minimal documentation means you will likely need to read the Python source code directly to figure out how to set your target URL and output folder.
This project, called Image-Webscrapper, does exactly what the name suggests: it automatically downloads images from websites. Instead of manually right-clicking and saving photos one at a time, you point this tool at a web page and it gathers the images for you in bulk. The tool is written in Python and likely works by loading a target web page, scanning the underlying code for image files, and then downloading those files to a folder on your computer. However, the documentation doesn't go into detail about the specific libraries it uses or whether it handles complex, JavaScript-heavy websites versus simpler, static pages. People who might find this useful include designers building mood boards, marketers collecting competitor screenshots, or data scientists assembling a dataset of pictures to train an AI model. If you need dozens or hundreds of images from a single site, running a script like this saves a significant amount of tedious manual clicking. The main tradeoff with any web scraping tool is that it depends heavily on how the target website is built. Some sites have protections that block automated downloads, and the single-line readme doesn't clarify how this project handles those edge cases or whether it requires any configuration. You would likely need to open the Python code directly to understand how to set your target URL and output folder before running it.
A Python tool that automatically downloads images from websites in bulk. Point it at a web page and it scans the page code for image files and saves them to a folder on your computer.
Mainly Python. The stack also includes Python.
Dormant — no commits in 2+ years (last push 2022-12-08).
No license is mentioned in the repository, so default copyright restrictions apply and you should contact the author before using it.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.