TikTok Users by Keywords Scraper

This Apify Actor is designed to scrape TikTok user profiles based on specific keywords. It allows you to retrieve detailed information about users matching the given search criteria.

How to Use

1. Input Configuration

The Actor requires an input JSON object to define the scraping parameters. The structure of the input is as follows:

{
  "keywords": "nike",
  "size": 10,
  "regionCode": "US"
}

• keywords: (Required) The search keywords to find TikTok users. For example, "nike".
• size: (Required) The number of user profiles to retrieve. Default is 10.
• regionCode: (Optional) The region code to filter results. For example, "US", "FR", or "CA".

2. Output Data

The Actor returns an array of objects containing information about the TikTok users matching the search criteria. The structure of each object is as follows:

{
  "id": "123456789",
  "uniqueId": "example_user",
  "nickname": "Example User",
  "signature": "This is an example user.",
  "url": "https://www.tiktok.com/@example_user",
  "secUid": "MS4wLjABAAAA...",
  "followerCount": 1000,
  "avatarThumb": "https://example.com/avatar.jpg",
  "customVerify": "",
  "enterpriseVerifyReason": ""
}

• id: The unique ID of the user.
• uniqueId: The TikTok username of the user.
• nickname: The display name of the user.
• signature: The bio or description of the user.
• url: The URL to the user's TikTok profile.
• secUid: The secure unique ID of the user.
• followerCount: The number of followers the user has.
• avatarThumb: The URL of the user's profile picture.
• customVerify: Custom verification status of the user.
• enterpriseVerifyReason: Reason for enterprise verification, if applicable.

3. Running the Actor

1. Deploy the Actor on the Apify platform.
2. Provide the input JSON in the Actor's input configuration.
3. Run the Actor to scrape data.
4. The results will be available in the Actor's dataset.

4. Example Use Case

To scrape TikTok users with the keyword "nike":

1. Set the input as:

   {
     "keywords": "nike",
     "size": 5,
     "regionCode": "US"
   }
   

2. Run the Actor.
3. Retrieve the output dataset containing the user profiles.