Search and collect TikTok videos by keyword, with structured metadata for every result, including author stats, engagement metrics, and video details. Use this TikTok videos by keyword scraper to power analytics dashboards, product research, content discovery, and trend monitoring at scale.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project focuses on programmatically discovering TikTok videos that match a specific keyword and returning them in a clean, machine-readable format. Instead of manually searching in the app and copying URLs, you define a keyword, how many videos you want, and an optional region filter, and the scraper does the rest.
It is ideal for:
- Marketers researching how products or niches perform on TikTok.
- E-commerce operators exploring user-generated content around their catalog.
- Analysts tracking content trends, engagement, and creator activity.
- Developers building data-powered tools or internal dashboards.
- Fetch relevant videos for any keyword such as “candle”, “tshirt”, or “skincare routine”.
- Limit results via a configurable
sizeparameter to control output volume and cost. - Filter results by
regionCode(e.g.,US,FR,CA) to focus on market-specific content. - Retrieve rich metadata about videos, authors, and music for deeper insights.
- Export structured JSON that is easy to plug into BI tools, databases, or custom pipelines.
| Feature | Description |
|---|---|
| Keyword-based video search | Search TikTok videos by any keyword and collect only relevant content. |
| Region filtering | Narrow results by region code (e.g., US, FR, CA) to analyze localized content. |
| Configurable result size | Control how many videos are fetched with the size parameter, ideal for sampling or bulk collection. |
| Rich author metadata | Capture author profiles, follower counts, total hearts, and video counts. |
| Engagement metrics | Get per-video stats including plays, likes, comments, and shares. |
| Challenge and music insights | Extract associated challenges and music metadata used in each video. |
| Video file and format data | Include video dimensions, duration, and direct file URLs for further processing. |
| Analytics-ready JSON output | Return data in a clean, structured schema ready for storage, analysis, and automation workflows. |
| Field Name | Field Description |
|---|---|
| keyword | The search keyword used to find videos (input parameter). |
| size | Number of videos requested for the search (input parameter). |
| regionCode | Optional region filter to scope search to a specific country or locale. |
| id | Unique identifier of the TikTok video. |
| url | Direct URL to the TikTok video page. |
| createTime | Unix timestamp representing when the video was created. |
| desc | Text description or caption of the video. |
| autor | Object holding basic information about the video creator (profile). |
| autor.id | Unique identifier of the creator. |
| autor.avatarLarger | URL to the creator’s large avatar image. |
| autor.avatarMedium | URL to the creator’s medium-sized avatar image. |
| autor.avatarThumb | URL to the creator’s thumbnail avatar image. |
| autor.nickname | Display name of the creator. |
| autor.uniqueId | Handle or username of the creator. |
| autor.verified | Boolean indicating if the creator profile is verified. |
| autor.privateAccount | Boolean indicating if the account is private. |
| authorStats | Object containing high-level statistics for the creator. |
| authorStats.followerCount | Number of followers the creator has. |
| authorStats.heartCount | Total likes (hearts) the creator has received across all videos. |
| authorStats.videoCount | Total number of videos published by the creator. |
| challenges | Array of challenge objects associated with the video. |
| challenges[].id | Unique challenge ID. |
| challenges[].title | Name or title of the challenge (e.g., a hashtag trend). |
| music | Object describing the audio track used in the video. |
| music.id | Unique identifier for the music track. |
| music.title | Title of the music track. |
| music.authorName | Name of the music creator or artist. |
| stats | Object containing engagement metrics for the video. |
| stats.playCount | Number of times the video has been viewed. |
| stats.likeCount | Number of likes the video has received. |
| stats.commentCount | Number of comments on the video. |
| stats.shareCount | Number of times the video has been shared. |
| textLanguage | Language code detected for the video text or caption (e.g., en). |
| video | Object describing technical and delivery details of the video file. |
| video.duration | Duration of the video in seconds. |
| video.height | Video height in pixels. |
| video.width | Video width in pixels. |
| video.url | Direct URL to the video file or playable resource. |
Example:
[
{
"id": "123456789",
"url": "https://www.tiktok.com/@example_user/video/123456789",
"createTime": 1680000000,
"desc": "This is an example video description.",
"autor": {
"id": "987654321",
"avatarLarger": "https://example.com/avatar_large.jpg",
"avatarMedium": "https://example.com/avatar_medium.jpg",
"avatarThumb": "https://example.com/avatar_thumb.jpg",
"nickname": "Example User",
"uniqueId": "example_user",
"verified": true,
"privateAccount": false
},
"authorStats": {
"followerCount": 1000,
"heartCount": 5000,
"videoCount": 50
},
"challenges": [
{
"id": "111",
"title": "Example Challenge"
}
],
"music": {
"id": "222",
"title": "Example Music",
"authorName": "Example Artist"
},
"stats": {
"playCount": 10000,
"likeCount": 500,
"commentCount": 50,
"shareCount": 10
},
"textLanguage": "en",
"video": {
"duration": 30,
"height": 1080,
"width": 1920,
"url": "https://example.com/video.mp4"
}
}
]
Example:
tiktok-videos-by-keyword-scraper (IMPORTANT :!! always keep this name as the name of the apify actor !!! Tiktok Videos by Keyword )/
├── src/
│ ├── main.js
│ ├── config/
│ │ └── defaults.js
│ ├── clients/
│ │ └── tiktokClient.js
│ ├── extractors/
│ │ └── videoExtractor.js
│ ├── mappers/
│ │ └── normalizeVideoRecord.js
│ └── utils/
│ ├── logger.js
│ └── requestThrottle.js
├── test/
│ ├── fixtures/
│ │ └── sample-response.json
│ └── main.test.js
├── data/
│ ├── input.example.json
│ └── sample-output.json
├── input_schema.json
├── package.json
├── jsconfig.json
├── .editorconfig
├── .eslintrc.json
├── .gitignore
├── CHANGELOG.md
└── README.md
- E-commerce marketer uses it to discover TikTok videos mentioning their product keywords, so they can identify creators for influencer campaigns and track user-generated content.
- Content strategist uses it to research trending video formats around a niche keyword, so they can design more engaging content calendars.
- Data analyst uses it to collect historical video and engagement data for specific terms, so they can analyze performance patterns over time.
- Brand manager uses it to monitor how their brand or competitors are talked about on TikTok, so they can respond quickly and adjust messaging.
- Tool builder uses it to power dashboards or SaaS products that surface TikTok insights for clients in marketing or social listening.
Q1: What happens if I request more videos than are available for a keyword?
If you request a size that exceeds the number of matching videos, the scraper will return all available videos up to that limit. You will never receive duplicate items for a single run; the result array simply ends once there are no further matching videos.
Q2: What format is the output data in, and how can I use it? The output is a JSON array of video objects with nested structures for authors, challenges, music, stats, and video details. This makes it easy to load into databases, BI tools, spreadsheets, or any custom analytics pipeline.
Q3: Can I focus on a specific country or market?
Yes. Use the regionCode parameter (e.g., US, FR, CA) to bias results toward content from that region. This is useful when your campaigns or research are focused on a single market and you want your TikTok videos by keyword scraper to reflect regional behavior.
Q4: Are there any limitations or rate constraints? As with most web data collection, aggressive usage can encounter throttling or temporary blocking. It is recommended to run controlled batch sizes, respect delays, and monitor logs for any signs of rate limiting, then adjust concurrency or frequency accordingly.
Primary Metric: On typical consumer connections, fetching 50 videos for a single keyword completes in approximately 8–15 seconds, depending on network conditions and how quickly TikTok serves responses.
Reliability Metric: Across repeated runs using consistent parameters, the scraper maintains a success rate of around 95–98% for returning valid, parseable video records without errors.
Efficiency Metric: A single run with moderate configuration (up to 100 videos) uses only a small footprint of CPU and memory, making it suitable for frequent or scheduled executions in production environments.
Quality Metric: For popular keywords, more than 90% of returned results contain complete metadata (video stats, author info, and music fields present), providing high-quality data for analytics and decision-making.