Скачать или смотреть How to Fetch Wikimedia Commons Images with Make.com (with Attributions)

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URL for HTTP module (I've added spaces after the "https:// " here so the URL shows up correctly, remove these spaces when pasting into Make.com!)
https:// commons.wikimedia.org/w/api.php?action=query&generator=search&gsrsearch={{1.query}}&gsrnamespace=6&prop=imageinfo&iiprop=url|user|extmetadata&format=json

Chapters:
0:00 - Introduction
0:50 - Setting up a Wikipedia Commons query
1:30 - Parsing the response
3:00 - Filtering results
3:43 - Integrating OpenAI GPT for attribution
6:20 - Uploading images to WordPress
7:00 - Adding attributions to blog post

In this video, you'll learn how to integrate Wikipedia Commons photos into your Make.com scenarios and upload them to WordPress as featured and in-content images. We'll explore handling attribution, which often comes in various formats, by leveraging OpenAI's GPT-4o to standardize and simplify the process.

Starting with a basic Make.com scenario, you'll see how to fetch and parse image data, set up dynamic queries, and convert collections to arrays for more precise results. The tutorial covers creating robust workflows with filters to ensure only valid results pass through.

Discover how to automate attribution formatting using OpenAI and implement SEO-friendly features like "nofollow" links. The process also includes using Make.com to map data for WordPress media uploads, preventing file overwrites by appending timestamps to filenames, and constructing HTML for embedding images and attributions in blog posts.

By the end of this video, you'll have a comprehensive workflow to dynamically pull Wikipedia Commons images and metadata into your WordPress site.