This dataset contains 58,252 social media mentions capturing discussions around Asian Cup football, including team celebrations, match results, qualification campaigns, and fan reactions from tournaments and qualifying matches.
Mentions
58,252
Views
104.7M
Engagement
13.6M
[ { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "7620426688287100193", "url": "[redacted]", "title": null, "text": "Welcome back, Asian Cup winner! 🥇❤️🤍 #Tanikawa #FCBayern #woso #afcasiancup #FUSSBALL ", "text_snippet": null, "timestamp": "2026-03-23T12:27:41Z", "lang": "en", "hashtags": [ "tanikawa", "fcbayern", "woso", "afcasiancup", "fussball" ], "author": { "id": "7136102441246311429", "username": "fcbayernwomen", "display_name": "FCBayernWomen", "verified": true }, "engagement": { "like_count": 3329, "comment_count": 47, "share_count": 21, "bookmark_count": 154, "play_count": 41500 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": null }, { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "7623732912046787847", "url": "[redacted]", "title": null, "text": "Though Bangladesh lost 1-0 to Singapore in the final Asian Cup qualifying match, the crestfallen away fans remained behind at the National Stadium on Mar. 31 to clean up. There were about 6,000 Bangladeshis located in the away section of the stadium, and over 30,000 spectators were in attendance. The clip won praise with many commenting that the away fans displayed exemplary behaviour. #mothershipnews #news #fyp #sgtiktok ", "text_snippet": null, "timestamp": "2026-04-01T10:17:25Z", "lang": "en", "hashtags": [ "mothershipnews", "news", "fyp", "sgtiktok" ], "author": { "id": "6688513359094842370", "username": "mothershipsg", "display_name": "Mothership", "verified": true }, "engagement": { "like_count": 2910, "comment_count": 47, "share_count": 213, "bookmark_count": 70, "play_count": 83200 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": null }, { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "7623439804683898128", "url": "[redacted]", "title": null, "text": "Well done, Lions! Singapore rounded off their successful Asian Cup qualification campaign with a 1-0 win over Bangladesh. 🥳 #Lions #football #soccer #AsianCup #AFC #Singapore #StraitsTimes", "text_snippet": null, "timestamp": "2026-03-31T15:20:43Z", "lang": "en", "hashtags": null, "author": { "id": "6996982666687972353", "username": "straitstimes", "display_name": "The Straits Times", "verified": true }, "engagement": { "like_count": 794, "comment_count": 9, "share_count": 114, "bookmark_count": 34, "play_count": 18600 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": null } ]
This dataset captures authentic social media conversations surrounding Asian Cup football competitions, featuring team announcements, match results, qualification updates, and fan celebrations. The content spans official team accounts celebrating tournament victories, media outlets reporting on crucial qualifying matches, and passionate fan communities discussing their national teams' performances in both men's and women's Asian Cup tournaments.
Perfect for sports analysts tracking tournament engagement patterns, football organizations understanding fan sentiment across different Asian markets, content creators developing region-specific football content, and researchers studying social media behaviors around international football competitions. The dataset provides valuable insights into how Asian football communities celebrate victories, support their teams through defeats, and engage with continental tournament content.
Boolean query used
"Asian Cup"
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
$56
Based on 58,252 mentions at $0.00096/mention
Buy datasetDelivered via JSON/CSV
Mentions
58,252
Views
104.7M
Engagement
13.6M
Social networks
8
Date range
2022 - 2026
Format
JSON / CSV
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