Documentation

Python client library

Use InfluxDB 3 clients

The /api/v2/query API endpoint and associated tooling, such as InfluxDB v2 client libraries and the influx CLI, can’t query an InfluxDB Cloud Serverless cluster.

InfluxDB 3 client libraries are available that integrate with your code to write and query data stored in InfluxDB Cloud Serverless.

InfluxDB 3 supports many different tools for writing and querying data. Compare tools you can use to interact with InfluxDB Cloud Serverless.

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://cloud2.influxdata.com"
  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://cloud2.influxdata.com"

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 InfluxDB Cloud Serverless bucket, use the Python client library for InfluxDB 3.


Was this page helpful?

Thank you for your feedback!


New in InfluxDB 3.5

Key enhancements in InfluxDB 3.5 and the InfluxDB 3 Explorer 1.3.

See the Blog Post

InfluxDB 3.5 is now available for both Core and Enterprise, introducing custom plugin repository support, enhanced operational visibility with queryable CLI parameters and manual node management, stronger security controls, and general performance improvements.

InfluxDB 3 Explorer 1.3 brings powerful new capabilities including Dashboards (beta) for saving and organizing your favorite queries, and cache querying for instant access to Last Value and Distinct Value caches—making Explorer a more comprehensive workspace for time series monitoring and analysis.

For more information, check out:

InfluxDB Docker latest tag changing to InfluxDB 3 Core

On November 3, 2025, the latest tag for InfluxDB Docker images will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments.

If using Docker to install and run InfluxDB, the latest tag will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments. For example, if using Docker to run InfluxDB v2, replace the latest version tag with a specific version tag in your Docker pull command–for example:

docker pull influxdb:2

InfluxDB Cloud Serverless