Apps/Python

Automate tasks with Python

Connect Python with 200+ apps and let your tasks run themselves. Describe what you want and Botize builds it. No code.

Execute Python code within your automated task.

Official site

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Triggers & actions

What can you automate with Python?

Everything you see below. Just pick a trigger and one or more actions.

Actions

The action is what happens automatically, without you having to do anything else.

Execute a Python script

Run a Python script as part of your task.

The integration

About Python

Automate tasks with Python allows you to execute Python code within your automated tasks, expanding the possibilities for customization and control in your processes. With this integration, you can incorporate Python scripts into your workflows, facilitating data manipulation, interaction with external APIs, and performing complex calculations. To use this feature, simply create your Python script, upload it to a server with a public URL, and provide that URL to Botize in the corresponding step of your task. Botize will handle executing your script and automatically pass the values generated in previous steps to your code.

This integration is ideal for users seeking a flexible and powerful solution to automate tasks that require custom logic or interaction with external services. By combining the ease of use of Botize with the versatility of Python, you can create more sophisticated automations tailored to your specific needs, without the need for advanced programming knowledge.

How it works

From idea to automation with Python

No flowcharts, no learning curve. You say it, it gets done.

Pick a trigger

The Python event that starts the task: a new message, a mention, a post…

Add actions

What happens next, in Python or in any of the 200+ connectable apps.

Turn it on and forget it

The task runs on its own from then on. If something's off, tweak it or we'll help you.

Learn by watching

Video tutorials

Short videos where you watch a real task being built from start to finish.

FAQ

Frequently Asked Questions

How do I provide my Python script code to Botize?

To make Botize execute your Python script as part of an automated task, you must:

1. Create your Python code.
2. Upload it to a server to make it accessible via a public URL.
3. Provide that URL to Botize in the corresponding step of your task.

Botize will execute your script and automatically pass the values generated in previous steps to your code.

What Python libraries can I use in Botize?

Botize includes several standard Python libraries you can use in your scripts, such as:

- json: for handling JSON data.
- requests: for making HTTP requests.
- datetime: for working with dates and times.

You cannot install or use external libraries. You only have access to the ones provided by default.

What is the most basic code to get started?

Here's a simple example of a script that generates a new tag:

output_data = {"message": "Hello from Python"}

This code creates a tag named message with the value "Hello from Python", which will be available for the following steps of your task.

How can I access task tags from my Python code?

All the tags generated in previous steps of your task are available in the input_data variable. It’s a key-value array, where the key is the tag name and the value is its content.

Example of access:
my_tag = input_data["tag_name"]

How do I modify or create new tags in my Python code?

To create new tags or modify existing ones, use the output_data variable. Any data you store there will be available as tags in the following steps of the task.

Example: Modifying an existing tag and creating a new one:

lowercase_text = input_data["text"].lower()
output_data = {"lowercase_text": lowercase_text, "message": "Tag generated successfully"}

How can I test my Python script before using it in Botize?

You can test your script locally by simulating the content of input_data as a Python dictionary:

input_data = {"text": "THIS IS AN EXAMPLE"}
lowercase_text = input_data["text"].lower()
output_data = {"lowercase_text": lowercase_text}
print(output_data)

Once it works, upload it to your server and provide the URL to Botize.

What happens if my script has an error?

If your script generates an error during execution, Botize will display a message indicating something went wrong. Make sure to handle potential errors in your code using try/except blocks:

try:
     lowercase_text = input_data["text"].lower()
     output_data = {"lowercase_text": lowercase_text}
except KeyError as e:
     output_data = {"error": f"Tag not found: {e}"}

In any case, if your script fails, Botize will return the tags 'errorMessage', 'errorType', and 'stackTrace' with enough information to help you identify the error, its type, and location.

Can I make requests to external APIs from my Python script?

Yes, you can use the requests library to interact with external APIs. For example:

import requests
response = requests.get("https://api.example.com/data")
if response.status_code == 200:
     data = response.json()
     output_data = {"api_result": data}
else:
     output_data = {"error": f"API error: {response.status_code}"}

Can I use Python scripts for complex calculations or transformations?

Yes, as long as you use the included libraries. For example, you can handle dates using the datetime library:

from datetime import datetime
current_date = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
output_data = {"current_date": current_date}

What limitations should I be aware of?

- You cannot install additional libraries.
- The execution time of your script must be reasonable (avoid slow operations).
- Make sure your script’s URL is public and accessible from the internet.

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Leave with an automation.

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