Landbot
Use Landbot drag-and-drop creator to build advanced conversational flows with ease, flexibility, and speed - no coding required. Deploy Chatbots Anywhere, Instantly. Launch chatbots on popular messaging channels or the web as pop-ups, widgets, landing pages, or website embeds -with a click.
Integrate the Landbot API with the Python API
Setup the Landbot API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Landbot and Python remarkably fast. Free for developers.
Popular Landbot and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Connect Landbot#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
landbot: {
type: "app",
app: "landbot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.landbot.io/v1/agents/`,
headers: {
"Content-Type": `application/json`,
"Authorization": `Token ${this.landbot.$auth.api_token}`,
},
})
},
})
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}}