# JobClient.query_logs

```python
def JobClient.query_logs(job_id: Job | UUID | str) -> LogRecords
```

Query logs emitted while running a job. Pagination is handled automatically.

## Parameters

**job\_id**

`Job | UUID | str`

required: true

The job, job ID, or job ID string to query logs for.

## Returns

A `LogRecords` list. Each `LogRecord` contains `time`, `severity_number`, `severity_text`, `body`, `trace_id`, `span_id`, `attributes`, and `runner_attributes`.

`LogRecords.to_pandas()` converts the records to a pandas DataFrame.

```python title="Python"
logs = client.jobs().query_logs(job)

for record in logs:
    print(record.time, record.severity_text, record.body)

df = logs.to_pandas()
```