All-in-one WhatsApp* automation for small teams. Integrate it into your existing workflows easily while you keep using WhatsApp as usual.
Emit new event when a new WhatsApp conversation is started on the user’s 2chat connected number.
Emit new event when a new message is either sent or received on 2Chat.
Emit new event when a WhatsApp order is received on user's 2Chat connected number.
Checks if a given phone number has a WhatsApp account. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Sends a text message to a designated whatsapp-enabled phone number. See the documentation
The 2Chat API allows developers to build and manage chatbots that can engage users in personalized conversations across various platforms like WhatsApp, Telegram, and more. This API facilitates the creation, training, and integration of chatbots with existing applications, enabling automated responses based on user inputs and behaviors. Utilizing Pipedream's capabilities, developers can orchestrate complex workflows that react to events from 2Chat, process data, and trigger actions in other apps, streamlining communication processes and enhancing user interaction.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
_2chat: {
type: "app",
app: "_2chat",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.p.2chat.io/open/contacts/search`,
headers: {
"Content-Type": `application/json`,
"X-User-API-Key": `${this._2chat.$auth.api_key}`,
},
params: {
query: `John`,
results_per_page: `30`,
page_number: `0`,
},
})
},
})
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:
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}}