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Bottega Veneta social media dataset

Bottega Veneta social media dataset

198,284 social media mentions about Bottega Veneta across 8 social networks.

8 social networks

2022 - 2026

Updated monthly

Mentions

198,284

Views

116.2M

Engagement

141.0M

Sample data

[ { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "N0hZY9dwwGY", "url": "[redacted]", "title": "Closet Confessions: My Shoe Collection | Fashion Haul | Trinny", "text": "Today I am laying out my life in shoes. That may sound a bit dramatic, but I really can map out the phases and stages of my life through my shoes. Safe shoes, brave shoes, never-been-worn shoes – I have a pair to reflect every single mood and moment (though I do draw the line at Crocs). Let’s delve into them…\n\nBlue and green platforms: Fendi\nWhite platforms: Miu Miu\n25 years old black shoe: Clergerie\nPatent pointed black shoe: Russel & Bromley\nComfortable black flats: ACNE\nPointed black flats: Z", "text_snippet": null, "timestamp": "2026-02-07T09:45:05Z", "lang": "en", "hashtags": [], "author": { "id": "UC0QhU7ee8rr7Bl0DYN8oi7w", "username": "@TrinnyLondon", "display_name": "T R I N N Y" }, "engagement": { "view_count": 86450, "like_count": 2309, "comment_count": 153 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": { "keywords": null } }, { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "BmQPkOv-Zf4", "url": "[redacted]", "title": "Sister Time & My First Chanel Unboxing in a Long Time", "text": "In This Video: I’m in Milan, and my sister came to visit, which honestly feels like Christmas every single time. First, because getting to spend this precious time together is everything. And second… because she arrived with so many packages from the UK. Also, I’m unboxing a beautiful selection of gifts she brought with her. And yes, there’s also a Chanel bag unboxing, which makes this moment even more special, especially considering I didn’t buy Chanel at all last year.\n\n💛 Remember to click the", "text_snippet": null, "timestamp": "2026-02-11T19:00:15Z", "lang": "en", "hashtags": [], "author": { "id": "UCwLnjNtJw8Tsa2tAJW7-nnQ", "username": "@TamaraKalinic", "display_name": "Tamara Kalinic" }, "engagement": { "view_count": 48551, "like_count": 1656, "comment_count": 130 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": { "keywords": null } }, { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "NQoGZhe6fz8", "url": "[redacted]", "title": "Closet Confessions: Styling Neutrals | Fashion Haul | Trinny", "text": "If you told me five years ago that I would be doing a Closet Confessions on neutrals, I would have assumed I had been abducted by aliens. But adding a few pairs of neutral trousers to my wardrobe has proven to be the glue that holds everything together... And they go so well with my little hedgehog friend...\n\nJust Joyous in Holly\n-\nReversible belt: ME+EM\nGold jacket: Zara\nPink bag: Zara\nNeutral bag: Prada\nBlack shoes: Prada\nBangles: Bottega Veneta\nKhaki shoulder bag: Chanel\nCaramel trouser: ME+E", "text_snippet": null, "timestamp": "2026-03-21T09:45:02Z", "lang": "en", "hashtags": [], "author": { "id": "UC0QhU7ee8rr7Bl0DYN8oi7w", "username": "@TrinnyLondon", "display_name": "T R I N N Y" }, "engagement": { "view_count": 41415, "like_count": 1632, "comment_count": 120 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": { "keywords": null } } ]

About this dataset

This dataset captures 198,284 social media mentions about Bottega Veneta 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

"Bottega Veneta" OR "#bottegaveneta"

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

$190

Based on 198,284 mentions at $0.00096/mention

Buy dataset

Delivered via JSON/CSV

Mentions

198,284

Views

116.2M

Engagement

141.0M

Social networks

8

Date range

2022 - 2026

Format

JSON / CSV

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