Go to example tasks
Wikimedia Commons Research Image Dataset Builder
Created by
GetAScraper
Build a research image dataset from Wikimedia Commons categories for computer vision or academic study. Point the Actor at a category page and it collects openly licensed photos above 500px wide, deduplicates by content hash, and stores each image plus a dataset row with dimensions, format, and source URL. Assemble labeled training sets with fully traceable provenance.
Bulk Image Downloader: Crawl and ZIPgetascraper/bulk-image-downloader
Input
SHA-256
Binary
Width
+7 fieldsTextNumberBooleanListObject
Input
URLs to Process(required)
url:https://commons.wikimedia.org/wiki/Category:Birds
URL Mode:page
Min Width (px):500
Max Images per URL:300
Deduplicate by Content Hash:true
Output Format:dataset+1
Output fields
Input
SHA-256
Binary
Width
Height
Format
Bytes
Alt text
Page title
Source
Duplicate
Sign up on Apify01
Create your Apify account to access the Bulk Image Downloader: Crawl and ZIP.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
