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How to Update Feishu Base with DeepSeek and Tabbit

Match an order number to one Feishu record, preview field changes, and read the saved values before retrying an update.

In this article
  1. Key takeaways
  2. Choose an update route
  3. 1. Match the key in the target table
  4. 2. Preview an update to one record
  5. What Tabbit's public import demonstrates
  6. 3. Read back the same record before retrying

DeepSeek can update an existing Feishu Base record through a connector that can read and edit the target table. Match the order number exactly, preview the proposed changes, and write only if the key resolves to one record. Read the same record back before marking it complete. The Tabbit Browser case below shows how a browser connection was used for an earlier CSV import.

The distinction matters when your CSV contains an order number but the update operation expects Feishu's internal ID. An RPA user on Yingdao described having to find the record ID from a product ID before updating a row, then running into errors when writing fields. Yingdao discussion

Key takeaways

  • Match a stable business key such as an order number to exactly one Feishu record_id.

  • Preview the old and proposed values, including the field types. Decide what blank cells mean before any writes.

  • Use the API for a recurring integration with its own authorized identity. A supervised browser run can fit a one-off job when the page exposes the required operations.

  • Update only the approved fields and verify the normalized values by reading the same record.

  • After a timeout, read first. Skip a patch already reflected in the record and pause if another editor has changed the values.

Choose an update route

RouteWhen it fitsWhat to confirm
Feishu APIA scheduled or recurring job with an authorized identityIt can search the intended table, update by ID, and read back the result
BrowserA supervised job in an authorized sessionThe current page can locate the same record again, expose editable fields, and show saved values

Prefer the documented API when both routes meet the requirements and the job repeats. The browser route inherits the signed-in account's access and depends on what the current page exposes. Review the API, MCP, and browser comparison and the guide to existing browser sessions before choosing.

1. Match the key in the target table

Confirm the Base, table, and search scope. Keep a CSV order number such as 00018 as text so the zeros survive. Filter by the exact key and look through all result pages before declaring one match. Record the returned record_id alongside the key. If your browser controls cannot surface the ID, use a stable record detail link that identifies the same row. A row number can change when you sort the view. Feishu search records

A filtered view or advanced permissions can hide records. Check the account's visibility before treating an empty result as absence. For the input side, keep the source row and key together so you can trace an exception to its origin. Feishu Base FAQ · Traceable CSV extraction

2. Preview an update to one record

Suppose an input row for 00018 asks for status Reviewed and quantity 3. In this hypothetical example, one record matches and its current values are Pending and 2. Show the table, key, record ID, and both old and proposed values. If the input contains two instructions for the same key, consolidate identical changes and review any conflicts before applying either.

Check that Reviewed is an existing single-select option and that quantity is a number. Normalize dates to the same units and time zone when comparing them. Decide whether a blank is a no-op, a permitted clear, or an input error. Feishu documents incremental updates by record_id. Send only the approved fields that need to change. A past issue in the Lark CLI project described a mismatch between a command's options and the API parameters. Check the options your actual connector exposes. Feishu update record · Lark CLI issue

Before applying the approved preview, read the record again and compare it with the old values. Pause if it has changed. This check reduces stale writes but does not make a read followed by a write atomic. Use the first browser task checklist to narrow the initial run to one record.

What Tabbit's public import demonstrates

On September 3, 2026, the published Tabbit case used DeepSeek Harness with DeepSeek V4 Flash High to import a CSV into Feishu Base. When the initial API route was unavailable in the recorded environment, it switched to structured tools exposed by the Feishu page in a signed-in Tabbit session. The recorded report showed 200 records, 26 fields, and zero differences after timestamp normalization. That report covers the import.

Archived field mapping with order number as a text primary field and status as single select
Field types shown in the archived CSV import.

For an update job, first check whether the current connector and session expose the operations above. The Harness browser plugin guide explains the connection and the browser permissions guide illustrates the separate permissions at the browser layer. The update and retry example in this article is hypothetical. Official DeepSeek Harness repository · Official Tabbit plugin

3. Read back the same record before retrying

After writing, read the same ID or reopen the same record detail. Confirm that the key still matches and that the normalized values equal the approved preview. Log the key, ID, intended fields, and verification result. Feishu get record · Browser automation verification

Observed stateNext action
No match or multiple matchesSkip the key, log the reason, and review scope, permissions, or duplicates
One match, current values already equal the desired valuesRecord as verified and skip the write
One match, valid changes and unchanged preconditionsApply the approved fields, then read back
Timeout, read-back failure, or unexpected valuesPause. Reread the same record and retry only when the original state still holds and the operation is safe to repeat

If the hypothetical 00018 update times out but the record already reads Reviewed and 3, close the item. If it reads Pending and 2, check for an in-flight request before replaying the same patch. If the values differ from both snapshots, review the conflict. A repeated write can trigger downstream automation, so skip a write whenever the intended state already holds.

For a supervised browser job, begin with a read-only preview of one record. Once you can locate it again and check the saved values, decide whether to approve the proposed update.

FAQ

Can DeepSeek update Feishu Base?

Yes, if the connector can locate, edit, and read back the intended record. The public Tabbit case shows a CSV import into Feishu Base.

Is a business key the same as record_id?

A business key comes from your data, such as an order number. Feishu assigns record_id to the platform record. Match the business key to exactly one record_id before writing.

What should happen when a key has zero or multiple matches?

In an update-only job, skip both cases and report them. Creating a row should be a separately authorized operation with a duplicate check.

When should I use the API instead of the browser?

Use a documented API when an authorized identity can read and edit the target table and the job is repeatable. A browser workflow can fit a supervised task on a page that exposes the required operations.

How do I retry after an interrupted write?

Read the same record again. If the desired values are present, mark it verified. Retry only if the original values still hold, the previous request has ended, and repeating the write is safe.

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