TikHub Complete (149 Endpoints) icon

TikHub Complete (149 Endpoints)

Access ALL 149 TikHub social media data endpoints for TikTok (64), Instagram (56), YouTube (16), and X/Twitter (13)

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Overview

This node, named "TikHub Complete," provides access to a comprehensive set of social media data endpoints (149 in total) across four major platforms: TikTok, Instagram, YouTube, and X/Twitter. It allows users to retrieve detailed information such as video data, user profiles, analytics, posts, stories, reels, channels, tweets, timelines, and more.

The specific operation "Detect fake views in video" under the "Default" resource is designed to analyze a given video on a selected platform (currently only TikTok supports this operation based on the provided properties) to identify whether its view count might be artificially inflated or manipulated.

Common scenarios where this node is beneficial:

  • Marketers and advertisers verifying the authenticity of influencer metrics before partnerships.
  • Social media analysts detecting fraudulent activity or bot-generated views.
  • Content creators monitoring their own videos for suspicious engagement patterns.
  • Researchers studying social media manipulation trends.

Practical example:

A marketing agency wants to verify if a TikTok video has genuine engagement before signing a collaboration deal with the creator. They input the video ID and optionally specify the content category to get an analysis report indicating the likelihood of fake views.


Properties

Name Meaning
Platform Select the social media platform to work with. Options: TikTok, Instagram, YouTube, X/Twitter.
作品id/Video id The unique identifier of the video to analyze (required for TikTok platform when detecting fake views).
内容分类/Content category Optional content classification for the video. Possible values: default, entertainment, education, product, verified_large.

Output

The node outputs JSON data containing the results of the fake view detection analysis. The structure typically includes fields returned by the external API describing the video's view authenticity metrics, such as flags or scores indicating suspicious activity.

If multiple items are processed, the output is an array of JSON objects, each corresponding to one input item.

No binary data output is indicated in the source code.


Dependencies

  • Requires an API key credential for authenticating requests to the TikHub API service (https://api.tikhub.io).
  • The node internally calls the TikHub API endpoints corresponding to the selected platform and operation.
  • No other external dependencies are required.

Troubleshooting

  • Common issues:

    • Providing an invalid or empty video ID will cause the API request to fail.
    • Selecting an unsupported platform-operation combination will throw an error.
    • Network connectivity problems can prevent successful API calls.
    • Missing or invalid API credentials will result in authentication errors.
  • Error messages:

    • "Unknown operation: <operation> for platform: <platform>": This means the requested operation is not supported for the chosen platform. Verify the platform and operation selections.
    • API errors returned from TikHub (e.g., invalid parameters, rate limits) will be passed through in the output's error field if "Continue On Fail" is enabled.
  • Resolutions:

    • Ensure all required parameters (like video ID) are correctly set.
    • Confirm that the API key credential is valid and configured in n8n.
    • Check network connectivity and API service status.
    • Use the "Continue On Fail" option to handle partial failures gracefully.

Links and References

  • TikHub API Documentation (official API base URL referenced)
  • Social media platform developer documentation for TikTok, Instagram, YouTube, and X/Twitter for understanding data context.

Note: This summary is based solely on static analysis of the provided source code and property definitions without runtime execution.

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