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.
{
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{
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"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"blurhash": "toot:blurhash",
"focalPoint": {
"@container": "@list",
"@id": "toot:focalPoint"
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"Hashtag": "as:Hashtag"
}
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"id": "https://en.osm.town/users/seav/statuses/113423454436827306",
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"published": "2024-11-04T07:16:05Z",
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"content": "<p><a href=\"https://en.osm.town/tags/30DayMapChallenge\" class=\"mention hashtag\" rel=\"tag\">#<span>30DayMapChallenge</span></a> 🗺️ Day 4️⃣: Hexagons</p><p>Because the prompt says to use a hex grid, I couldn’t do what I did last year: <a href=\"https://en.osm.town/@seav/111380068524261286\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">en.osm.town/@seav/111380068524</span><span class=\"invisible\">261286</span></a></p><p>So I took this opportunity to play around with Uber’s H3 grid system: <a href=\"https://h3geo.org/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">h3geo.org/</span><span class=\"invisible\"></span></a></p><p>Anyway, here are three maps showing the <a href=\"https://en.osm.town/tags/Wikidata\" class=\"mention hashtag\" rel=\"tag\">#<span>Wikidata</span></a> items with P625 (coordinates) where P17=Q928 (country = <a href=\"https://en.osm.town/tags/Philippines\" class=\"mention hashtag\" rel=\"tag\">#<span>Philippines</span></a> 🇵🇭) aggregated (binned) into H3 hexagonal cells in three different resolutions (4 to 6) and colored with the <a href=\"https://en.osm.town/tags/Viridis\" class=\"mention hashtag\" rel=\"tag\">#<span>Viridis</span></a> Inferno palette.</p><p>🧵 1/2</p>",
"contentMap": {
"en": "<p><a href=\"https://en.osm.town/tags/30DayMapChallenge\" class=\"mention hashtag\" rel=\"tag\">#<span>30DayMapChallenge</span></a> 🗺️ Day 4️⃣: Hexagons</p><p>Because the prompt says to use a hex grid, I couldn’t do what I did last year: <a href=\"https://en.osm.town/@seav/111380068524261286\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">en.osm.town/@seav/111380068524</span><span class=\"invisible\">261286</span></a></p><p>So I took this opportunity to play around with Uber’s H3 grid system: <a href=\"https://h3geo.org/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">h3geo.org/</span><span class=\"invisible\"></span></a></p><p>Anyway, here are three maps showing the <a href=\"https://en.osm.town/tags/Wikidata\" class=\"mention hashtag\" rel=\"tag\">#<span>Wikidata</span></a> items with P625 (coordinates) where P17=Q928 (country = <a href=\"https://en.osm.town/tags/Philippines\" class=\"mention hashtag\" rel=\"tag\">#<span>Philippines</span></a> 🇵🇭) aggregated (binned) into H3 hexagonal cells in three different resolutions (4 to 6) and colored with the <a href=\"https://en.osm.town/tags/Viridis\" class=\"mention hashtag\" rel=\"tag\">#<span>Viridis</span></a> Inferno palette.</p><p>🧵 1/2</p>"
},
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"name": "Map of the Philippines as a grid of hexagonal cells with a radius of around 25 km and where the cell’s color indicate number of items, ranging from black (0) to bright yellow (high value). The brightest cell is located around Manila.",
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"name": "Map of the Philippines as a grid of hexagonal cells with a radius of around 10 km and where the cell’s color indicate number of items, ranging from black (0) to bright yellow (high value). The brightest cells are located around Manila.",
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"name": "Map of the Philippines as a grid of hexagonal cells with a radius of around 4 km and where the cell’s color indicate number of items, ranging from black (0) to bright yellow (high value). The brightest cells are located around Manila.",
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"tag": [
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"href": "https://en.osm.town/tags/30DayMapChallenge",
"name": "#30DayMapChallenge"
},
{
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"href": "https://en.osm.town/tags/wikidata",
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