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Uncovering User Interests through TikTok Collections: A Deep Dive into the get collection list by user id API
In today's content-driven social media era, TikTok is not only a battlefield for short videos but also a treasure trove of user data. While public actions like "posting videos," "likes," and "comments" are often analyzed, one deeply meaningful yet underexplored behavior stands out—Collections.
Compared to real-time likes or comments, adding a video to a collection reflects stronger intent. It indicates that the user wants to "watch later," "save for reference," or "truly values the content." In this article, we will explore how to use LuckData’s get collection list by user id endpoint to uncover deep insights into user preferences.
1. Why Should We Pay Attention to Collections?
TikTok content cycles fast. A video may be viewed for just seconds before being swiped away. But when a user chooses to save a video into a collection, that’s a powerful intent signal. It often implies one of the following:
The video is emotionally resonant or entertaining enough to rewatch
It contains practical value like tutorials or useful information
It reflects personal identity or resonates with their worldview
For content creators, marketers, and data analysts, understanding what users choose to save gives critical insights into what really matters to them.
2. What Is get collection list by user id?
The get collection list by user id endpoint from LuckData’s TikTok API allows us to fetch all collection folders a user has created by using either their user_id or unique_id.
This offers a window into how users categorize their favorite content, what themes they are drawn to, and their habits when it comes to saving media. These insights can help deduce the user's content consumption patterns or even psychological traits.
3. API Parameters & Usage
Endpoint
GET https://luckdata.io/api/tiktok-api/4NatnMLXQYY7Parameters:
user_id: Internal TikTok user IDunique_id: Publicly visible username (e.g. @username)count: Number of collections to retrievecursor: Pagination control
At least one of
user_idorunique_idis required to proceed.
4. Sample Code in Python
Here’s how to make a simple request using Python’s requests module:
import requestsheaders = {
'X-Luckdata-Api-Key': 'your_luckdata_key'
}
response = requests.get(
'https://luckdata.io/api/tiktok-api/4NatnMLXQYY7?count=10&cursor=0&user_id=6631770475491115014&unique_id=tyler3497',
headers=headers,
)
print(response.json())
5. Understanding the Response Format
Upon a successful request, the API returns a JSON object containing a list of the user's video collections. Key fields include:
Field Name | Description |
|---|---|
| Unique ID of the collection |
| Name of the collection |
| Number of videos in the collection |
| Thumbnail of the first video in list |
| Creation timestamp |
Sample response (truncated):
{"collections": [
{
"collection_id": "7214174961873849130",
"title": "Daily Inspiration",
"video_count": 15,
"cover_url": "https://p16-sign.tiktokcdn.com/...jpg",
"create_time": 1683729151
},
...
]
}
6. Advanced Use Case: Auto-Summarizing User Collections
Here’s a sample script to loop through and summarize each user collection:
data = response.json()collections = data.get('collections', [])
for idx, item in enumerate(collections):
print(f"{idx + 1}. {item['title']} - {item['video_count']} videos")
You can also chain it with the get collection post video list endpoint to fetch the actual videos within each collection for more granular analysis.
7. Real-World Applications
User Interest Mapping
Analyzing collection titles and grouping patterns across users helps build richer interest profiles and better content recommendations.Content Ideation & Trend Spotting
If multiple users create similarly named collections, the theme likely holds cultural or emotional significance—great for creators to jump in early.Marketing Persona Building
Brands can analyze target user collections to refine tone, aesthetics, and messaging styles that match user preferences.
8. Cross-Endpoint Strategy
To amplify insights, you can combine this endpoint with:
user info– for user demographics and profile data （ From Video Data to Real Trends: How to Scrape Detailed TikTok Video Information ）user post videos– to compare original vs. saved content themes （ Understanding User Behavior Through Their Videos: How to Use the TikTok API to Get User Post Videos ）get collection post video list– to drill down into each saved video （ Unlocking TikTok User Intent with Collection Video Data: A Deep Dive into the get collection post video list API by LuckData ）
Together, this offers a full-circle view of who your user is, what they post, and what they save.
9. Final Thoughts: Get Closer to User Psychology
A TikTok user’s collection folder is a personal vault of content they don’t want to lose. Unlike fleeting likes or passing comments, collections indicate long-term value. When we tap into this data source, we get closer to the core of user intention.
With LuckData’s no-code, high-reliability TikTok API, developers, analysts, and creators alike can uncover rich behavioral patterns without reinventing the wheel. If understanding user behavior is your goal, starting with collections might be your smartest move.
