Bulk Download Images for Web Scraping Projects
The image step that scripts make harder than it needs to be
In a lot of scraping projects, the data is the easy part. You can pull product names, prices, and descriptions with a tidy parser. The images are where things get messy: redirects, lazy loading, CDNs, duplicate references, and a hundred junk assets per page. Maintaining a custom image fetcher for all that is real work. For the collection stage specifically, a Chrome extension covers it without code. Bulk Image Downloader From URL List takes a list of page URLs, visits each one, and stacks every image it finds into a single reviewable set.
Feed it your URL list
If your crawler already produced a list of pages — category pages, listing pages, profile pages — you can hand that list straight to the scraper. In the side panel, paste page URLs into the bulk URL box, one per line, or load them from a .txt, .csv, or .urls file on disk. Two settings keep the run polite and predictable:
- Max URLs caps how many pages a single run visits, so you can test on a slice before committing to the whole list.
- Delay sets a pause in milliseconds between page loads. Raise it on fragile sites so you are not hammering the server.
Click Scrape from list. The extension opens each page, runs the scraper, and collects images into the same results pipeline you would get from a manual scan. There is a clear distinction worth remembering: this box is for page URLs. If you already have direct image links, those belong in a download task on the options page instead.
Filter to the images that matter
A scrape across dozens of pages produces a lot of noise. The Filters tab is where you cut it down. Set minimum dimensions to drop icons and sprites, restrict file types to the formats your project uses, and use the source domain include and exclude fields to keep only assets served from the right hosts. If a project needs only landscape product shots, the aspect ratio filter handles that too. Filters run on the current collection without a re-scrape, so you can refine the combination, apply, and watch the count drop until the list is clean.
Deduplicate before anything downloads
Scraped pages reference the same images constantly — thumbnails that point at the same full-size file, shared banners, repeated logos. URL deduplication detects those repeats and lets you clear them with a strategy or pick manually, with undo if you overcorrect. For visual duplicates that have different URLs, the perceptual duplicate finder compares images by appearance and flags near-identical files. That keeps your output set lean and your storage honest.
Download, then keep it repeatable
Send the cleaned set to download as a batch. On the options page you can route files into a named folder or a ZIP, run parallel or queued downloads depending on how aggressive you want to be, and apply a filename pattern so files arrive named to match your dataset rather than as random strings. Because the whole configuration can be saved as a task and exported or imported as CSV, the next run on a similar site starts from your last setup instead of from scratch. For the image-collection slice of a scraping pipeline, that is a dependable, low-maintenance alternative to writing and babysitting a fetcher.