669,544 social media mentions about Cartier across 8 social networks.
Mentions
669,544
Views
2.2B
Engagement
342.4M
[ { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "Gk2BLOoFqbg", "url": "[redacted]", "title": "What's so Special about Numenor?", "text": "Explore the best of fantasy and sci-fi in depth, with analysis of the worlds of Lord of the Rings, Game of Thrones, The Witcher and more.\n\nFor more Lord of the Rings content: https://www.youtube.com/watch?v=yAMI2M4Uu44&list=PLVTclEEyY1SKFumpT86h-y6jikkEUKIAH&index=1&t=10s\n\nWriting credit for this video: In Deep Geek\n\nJoin me on Patreon - http://patreon.com/indeepgeek \nMy channel for live content, including interviews and weekly livestreams – @IDGlive \nMy audiobook channel: The Well Told Tale -", "text_snippet": null, "timestamp": "2026-04-06T20:00:11Z", "lang": "en", "hashtags": [], "author": { "id": "UCVg2AVe6eTCTVoWQ9AwrIHg", "username": "@InDeepGeek", "display_name": "In Deep Geek" }, "engagement": { "view_count": 53223, "like_count": 3943, "comment_count": 185 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": { "keywords": null } }, { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "ULn2GD4kS3I", "url": "[redacted]", "title": "Where was Gondor when the Westfold Fell?", "text": "Explore the best of fantasy and sci-fi in depth, with analysis of the worlds of Lord of the Rings, Game of Thrones, The Witcher and more.\n\nFor more Lord of the Rings content: https://www.youtube.com/watch?v=yAMI2M4Uu44&list=PLVTclEEyY1SKFumpT86h-y6jikkEUKIAH&index=1&t=10s\n\nWriting credit for this video: In Deep Geek\n\nJoin me on Patreon - http://patreon.com/indeepgeek \nMy channel for live content, including interviews and weekly livestreams – @IDGlive \nMy audiobook channel: The Well Told Tale -", "text_snippet": null, "timestamp": "2026-04-08T20:00:20Z", "lang": "en", "hashtags": [], "author": { "id": "UCVg2AVe6eTCTVoWQ9AwrIHg", "username": "@InDeepGeek", "display_name": "In Deep Geek" }, "engagement": { "view_count": 61246, "like_count": 3876, "comment_count": 276 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": { "keywords": null } }, { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "1tUUA6_FyKc", "url": "[redacted]", "title": "House Targaryen's Marriage Policy", "text": "Explore the best of fantasy and sci-fi in deep, geeky detail, with analysis of the worlds of Lord of the Rings, Game of Thrones, The Witcher and more.\n\nFor more A Song of Ice and Fire content: https://www.youtube.com/watch?v=kHm53p1m23c&list=PLVTclEEyY1SJdHYUM03vbCmWatFhGDEhz&index=1&t=14s\n\nJoin me on Patreon - http://patreon.com/indeepgeek \nMy channel for live content, including interviews and weekly livestreams – @IDGlive \nFind me on Spotify: https://bit.ly/SpotifyIDG \nMy audiobook channel: ", "text_snippet": null, "timestamp": "2026-04-03T20:00:04Z", "lang": "en", "hashtags": [], "author": { "id": "UCVg2AVe6eTCTVoWQ9AwrIHg", "username": "@InDeepGeek", "display_name": "In Deep Geek" }, "engagement": { "view_count": 34721, "like_count": 2016, "comment_count": 138 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": { "keywords": null } } ]
This dataset captures 669,544 social media mentions about Cartier across 8 social networks.
Data is collected using Datashake's data collection infrastructure covering Reddit, YouTube, TikTok, Instagram, Facebook, X, Bluesky, and LinkedIn.
Boolean query used
"Cartier" OR "#cartier"
This dataset is generated by running the above query across social networks. All matching posts and their comments are included.
platform
string
url
string
type
string
content_type
string
id
string
text
string
timestamp
ISO 8601
lang
string
hashtags
array
author
object
mentions
array
engagement
object
media
object
metadata
object
title
string
text_snippet
string
$642
Based on 669,544 mentions at $0.00096/mention
Buy datasetDelivered via JSON/CSV
Mentions
669,544
Views
2.2B
Engagement
342.4M
Social networks
8
Date range
2022 - 2026
Format
JSON / CSV
Tell us the topic, keywords, and timeframe. We'll build a custom dataset from 8+ social media networks.