A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
{
"@context": [
"https://www.w3.org/ns/activitystreams",
{
"ostatus": "http://ostatus.org#",
"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount"
}
],
"id": "https://genart.social/users/djnavarro/statuses/110665864082702843",
"type": "Note",
"summary": null,
"inReplyTo": "https://pixelfed.social/p/psoul/582462256128267927",
"published": "2023-07-06T07:04:36Z",
"url": "https://genart.social/@djnavarro/110665864082702843",
"attributedTo": "https://genart.social/users/djnavarro",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://genart.social/users/djnavarro/followers",
"https://pixelfed.social/users/psoul"
],
"sensitive": false,
"atomUri": "https://genart.social/users/djnavarro/statuses/110665864082702843",
"inReplyToAtomUri": "https://pixelfed.social/p/psoul/582462256128267927",
"conversation": "tag:genart.social,2023-07-06:objectId=3795604:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://pixelfed.social/psoul\" class=\"u-url mention\">@<span>psoul</span></a></span> Thank you! I'm so glad you like it! ❤️ </p><p>Most of my pieces are made using the R statistical programming language. This particular piece uses the same tricks for building custom image filters that I wrote about here: </p><p><a href=\"https://blog.djnavarro.net/water-colours/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">blog.djnavarro.net/water-colou</span><span class=\"invisible\">rs/</span></a> </p><p>I also wrote a long-form tutorial that walks through a lot of the techniques I use here:</p><p><a href=\"https://art-from-code.netlify.app/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">art-from-code.netlify.app/</span><span class=\"invisible\"></span></a></p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://pixelfed.social/psoul\" class=\"u-url mention\">@<span>psoul</span></a></span> Thank you! I'm so glad you like it! ❤️ </p><p>Most of my pieces are made using the R statistical programming language. This particular piece uses the same tricks for building custom image filters that I wrote about here: </p><p><a href=\"https://blog.djnavarro.net/water-colours/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">blog.djnavarro.net/water-colou</span><span class=\"invisible\">rs/</span></a> </p><p>I also wrote a long-form tutorial that walks through a lot of the techniques I use here:</p><p><a href=\"https://art-from-code.netlify.app/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">art-from-code.netlify.app/</span><span class=\"invisible\"></span></a></p>"
},
"attachment": [],
"tag": [
{
"type": "Mention",
"href": "https://pixelfed.social/users/psoul",
"name": "@psoul@pixelfed.social"
}
],
"replies": {
"id": "https://genart.social/users/djnavarro/statuses/110665864082702843/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://genart.social/users/djnavarro/statuses/110665864082702843/replies?only_other_accounts=true&page=true",
"partOf": "https://genart.social/users/djnavarro/statuses/110665864082702843/replies",
"items": []
}
}
}