# Research TikTok content by keyword

**Use case:** 

TikTok content research by keyword. Collect public videos, captions, creators, search rank, dates, and engagement metrics.

## Input

```json
{
  "searchQueries": [
    "short-form video hooks",
    "product tutorials",
    "customer stories"
  ],
  "maxVideosPerQuery": 100,
  "scrapeComments": false,
  "maxComments": 50
}
```

## Output

```json
{
  "coverUrl": {
    "label": "Cover",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "authorUsername": {
    "label": "Author",
    "format": "string"
  },
  "playCount": {
    "label": "Views",
    "format": "integer"
  },
  "likeCount": {
    "label": "Likes",
    "format": "integer"
  },
  "commentCount": {
    "label": "Comments",
    "format": "integer"
  },
  "commentsScraped": {
    "label": "Comments scraped",
    "format": "integer"
  },
  "commentsStatus": {
    "label": "Comment scrape status",
    "format": "string"
  },
  "commentsAttempts": {
    "label": "Comment attempts",
    "format": "integer"
  },
  "shareCount": {
    "label": "Shares",
    "format": "integer"
  },
  "createdAt": {
    "label": "Published",
    "format": "string"
  },
  "videoUrl": {
    "label": "Video",
    "format": "string"
  },
  "searchQuery": {
    "label": "Query",
    "format": "string"
  },
  "matchedSearchQueries": {
    "label": "Matched queries",
    "format": "array"
  },
  "searchRank": {
    "label": "Rank",
    "format": "integer"
  },
  "videoId": {
    "label": "Video ID",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [TikTok Video & Comments Scraper](https://apify.com/devcake/tiktok-search-video-comments.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/devcake/tiktok-search-video-comments.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/devcake/tiktok-search-video-comments.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).