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Popular Instabot and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Instabot#
The Instabot API offers the ability to programmatically interact with the Instabot platform, enabling the automation of chatbot conversations and data. By leveraging this API with Pipedream, you can create powerful workflows to enhance user engagement, collect insightful data, and streamline communications. It supports various operations like sending messages, managing users, and retrieving conversation logs, which can be harnessed for targeted marketing, customer support automation, and real-time analytics.
Connect Instabot#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
instabot_chatbot_platform: {
type: "app",
app: "instabot_chatbot_platform",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.instabot.io/v1/users`,
headers: {
"X-Instabot-Api-Key": `${this.instabot_chatbot_platform.$auth.api_key}`,
"Authorization": `X-Instabot-Master-Api-Key ${this.instabot_chatbot_platform.$auth.master_api_key}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies