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飞书

飞书 API 集成,支持多种飞书功能

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多维表格 → 批量新增记录

AI-generated

Summary

Adds records to a Feishu multi-dimensional table using the supplied request-body JSON. Each input item triggers a batch-create API request; optional batching runs those requests concurrently in groups.

Inputs

  • 凭证类型 — Select user-level OAuth credentials or application-level credentials. Defaults to application-level credentials.
  • 多维表格 App 的唯一标识 (app_toke) (required) — The Feishu Bitable app token.
  • 多维表格数据表的唯一标识 (table_id) (required) — The ID of the table to add records to.
  • 用户 ID 类型 (user_id_type) — Choose open_id, union_id, or user_id for user identifiers in the request. Defaults to open_id.
  • 操作的唯一标识 (client_toke) — Optional idempotency identifier corresponding to client_token. An empty value starts a new request; a non-empty value requests an idempotent update.
  • 是否忽略一致性读写检查 (ignore_consistency_check) — Whether to ignore the consistency read/write check. Defaults to true.
  • 请求体JSON (body) (required) — Request JSON for Feishu's batch-create records API; provide the records to add, for example {"records":[]}.
  • Options → Batching — Adding this option enables concurrent API requests for input items. Items per Batch defaults to 50 (0 is treated as 1); Batch Interval defaults to 1000 ms and sets the wait between groups.
  • Options → Timeout — Maximum time in milliseconds to wait for the response; 0 means no timeout.

Output shape

A list of n8n items containing the Feishu API response for each input item.

Requests run serially unless Batching is added. With continue-on-fail enabled, failed requests produce items containing an error message; otherwise an error stops execution.

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