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Feishu Node

Feishu Node

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Overview

This node allows you to delete a view from a Feishu (Lark) Bitable (多维表格). It is useful in scenarios where you need to programmatically manage and clean up views within your Feishu Bitable tables, such as automating the removal of obsolete or temporary views. For example, you might use this node in an n8n workflow that periodically deletes old views based on certain criteria, or as part of a process that resets table configurations.

Properties

Name Type Meaning
多维表格 Token String The unique identifier (token) for the Feishu Bitable App.
多维表格 ID String The unique identifier for the specific Bitable table.
视图 ID String The unique identifier for the view within the Bitable table.

Output

The node outputs a JSON object for each processed item. If the operation succeeds, the output will typically be empty or contain confirmation data from the API.
If an error occurs and "Continue On Fail" is enabled, the output will include an error field with the error message, and possibly additional error details if the error is of type NodeApiError.

Example error output:

{
  "error": "Error message here"
}

or, for API errors:

{
  "error": {
    "code": 123,
    "msg": "API-specific error message"
  }
}

Dependencies

  • Feishu (Lark) API: Requires valid credentials (feishuCredentialsApi) configured in n8n.
  • API Keys/Tokens: You must provide the correct Bitable App Token, Table ID, and View ID.
  • n8n Configuration: Ensure the Feishu credentials are set up in your n8n instance.

Troubleshooting

  • Missing or Invalid Credentials: If the Feishu credentials are not set or invalid, the node will throw an authentication error.
  • Invalid IDs: Supplying incorrect App Token, Table ID, or View ID will result in API errors indicating resource not found or unauthorized access.
  • Unimplemented Method Error: If the resource or operation is not implemented, you may see an error like 未实现方法: bitable.bitable:table:view:delete.
  • API Errors: If the Feishu API returns an error, it will be included in the output under the error field when "Continue On Fail" is enabled.
  • Network Issues: Network connectivity problems can cause request failures; check your network and retry.

Links and References

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