docs-v2/content/influxdb3/cloud-serverless/reference/client-libraries/v2/python.md

title	seotitle	list_title	description	menu	influxdb3/cloud-serverless/tags	aliases	weight	prepend
Python client library	Use the InfluxDB Python client library	Python	Use the InfluxDB Python client library to interact with InfluxDB.	influxdb3_cloud_serverless name parent Python v2 client libraries	client libraries python	/influxdb3/cloud-serverless/reference/api/client-libraries/python/ /influxdb3/cloud-serverless/reference/api/client-libraries/python-cl-guide/ /influxdb3/cloud-serverless/tools/client-libraries/python/	201	block content warn ### Use InfluxDB v3 clients The `/api/v2/query` API endpoint and associated tooling, such as InfluxDB v2 client libraries and the `influx` CLI, **can't** query an {{% product-name omit=" Clustered" %}} cluster. [InfluxDB v3 client libraries](/influxdb3/cloud-serverless/reference/client-libraries/v3/) and [Flight SQL clients](/influxdb3/cloud-serverless/reference/client-libraries/) are available that integrate with your code to write and query data stored in {{% product-name %}}. InfluxDB v3 supports many different tools for [**writing**](/influxdb3/cloud-serverless/write-data/) and [**querying**](/influxdb3/cloud-serverless/query-data/) data. [**Compare tools you can use**](/influxdb3/cloud-serverless/get-started/#tools-to-use) to interact with {{% product-name %}}.

Use the InfluxDB Python client library to integrate InfluxDB into Python scripts and applications.

This guide presumes some familiarity with Python and InfluxDB. If just getting started, see Get started with InfluxDB.

Before you begin

You'll need the following prerequisites:

1. Install the InfluxDB Python library:

   pip install influxdb-client
   

2. InfluxDB Cloud Serverless region URL using the HTTPS protocol--for example: https://cloud2.influxdata.com.

3. InfluxDB organization ID.

4. Name of the bucket to write to.

5. InfluxDB API token with permission to write to the bucket. For security reasons, we recommend setting an environment variable to store your token and avoid exposing the raw token value in your script.

Write data to InfluxDB with Python

Follow the steps to write line protocol data to an InfluxDB Cloud Serverless bucket.

1. In your editor, create a file for your Python program--for example: write.py.

2. In the file, import the InfluxDB client library.

   import influxdb_client
   from influxdb_client.client.write_api import SYNCHRONOUS
   import os
   

3. Define variables for your bucket name, organization, and token.

   bucket = "BUCKET_NAME"
   org = "INFLUX_ORG"
   # INFLUX_TOKEN is an environment variable you created for your API WRITE token
   token = os.getenv('INFLUX_TOKEN')
   url="https://{{< influxdb/host >}}"
   

4. To instantiate the client, call the influxdb_client.InfluxDBClient() method with the following keyword arguments: url, org, and token.

   client = influxdb_client.InfluxDBClient(
      url=url,
      token=token,
      org=org
   )
   

   The InfluxDBClient object has a write_api method used for configuration.

5. Instantiate a write client by calling the client.write_api() method with write configuration options.

   write_api = client.write_api(write_options=SYNCHRONOUS)
   

6. Create a point object and write it to InfluxDB using the write method of the API writer object. The write method requires three parameters: bucket, org, and record.

   p = influxdb_client.Point("my_measurement").tag("location", "Prague").field("temperature", 25.3)
   write_api.write(bucket=bucket, org=org, record=p)
   

Complete example write script

import influxdb_client
from influxdb_client.client.write_api import SYNCHRONOUS
import os

bucket = "BUCKET_NAME"
org = "INFLUX_ORG"
# INFLUX_TOKEN is an environment variable you created for your API WRITE token
token = os.getenv('INFLUX_TOKEN')
url="https://{{< influxdb/host >}}"

client = influxdb_client.InfluxDBClient(
    url=url,
    token=token,
    org=org
)

# Write script
write_api = client.write_api(write_options=SYNCHRONOUS)

p = influxdb_client.Point("my_measurement").tag("location", "Prague").field("temperature", 25.3)
write_api.write(bucket=bucket, org=org, record=p)

Query data from InfluxDB with Python

To query your {{% product-name %}} bucket, use the Python client library for InfluxDB v3.