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Asian Cup social media dataset

Asian Cup social media dataset

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.

8 social networks

2022 - 2026

Updated monthly

Mentions

58,252

Views

104.7M

Engagement

13.6M

Sample data

[ { "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 } ]

About this dataset

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.

Data fields 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 dataset

Delivered 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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