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://pynews.com.br/users/melissawm/statuses/110967964611932997",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2023-08-28T15:32:44Z",
"url": "https://pynews.com.br/@melissawm/110967964611932997",
"attributedTo": "https://pynews.com.br/users/melissawm",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://pynews.com.br/users/melissawm/followers",
"https://chaos.social/users/noatamir"
],
"sensitive": false,
"atomUri": "https://pynews.com.br/users/melissawm/statuses/110967964611932997",
"inReplyToAtomUri": null,
"conversation": "tag:pynews.com.br,2023-08-28:objectId=205586:objectType=Conversation",
"content": "<p>The video for our (me, <span class=\"h-card\" translate=\"no\"><a href=\"https://chaos.social/@noatamir\" class=\"u-url mention\">@<span>noatamir</span></a></span> and Inessa Pawson) talk about contributor experience and our learnings working with NumPy, SciPy, Matplotlib and pandas at SciPyConf 2023 has been posted: <a href=\"https://www.youtube.com/watch?v=uytmM0ulG6E\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">youtube.com/watch?v=uytmM0ulG6</span><span class=\"invisible\">E</span></a></p>",
"contentMap": {
"en": "<p>The video for our (me, <span class=\"h-card\" translate=\"no\"><a href=\"https://chaos.social/@noatamir\" class=\"u-url mention\">@<span>noatamir</span></a></span> and Inessa Pawson) talk about contributor experience and our learnings working with NumPy, SciPy, Matplotlib and pandas at SciPyConf 2023 has been posted: <a href=\"https://www.youtube.com/watch?v=uytmM0ulG6E\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">youtube.com/watch?v=uytmM0ulG6</span><span class=\"invisible\">E</span></a></p>"
},
"attachment": [],
"tag": [
{
"type": "Mention",
"href": "https://chaos.social/users/noatamir",
"name": "@noatamir@chaos.social"
}
],
"replies": {
"id": "https://pynews.com.br/users/melissawm/statuses/110967964611932997/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://pynews.com.br/users/melissawm/statuses/110967964611932997/replies?only_other_accounts=true&page=true",
"partOf": "https://pynews.com.br/users/melissawm/statuses/110967964611932997/replies",
"items": []
}
},
"likes": {
"id": "https://pynews.com.br/users/melissawm/statuses/110967964611932997/likes",
"type": "Collection",
"totalItems": 9
},
"shares": {
"id": "https://pynews.com.br/users/melissawm/statuses/110967964611932997/shares",
"type": "Collection",
"totalItems": 6
}
}