Reply is a sales engagement platform that automates email search, LinkedIn outreach, personal emails, SMS and WhatsApp messages, calls, and tasks.
Emit new event when a new contact is added. See the docs here
Emit new event when a person opts out. See the docs here
Emit new event when a person opens your email. See the docs here
Emit new event when a prospect replies to an email. See the docs here
Emit new event when a new email is sent (first step or follow-up). See the docs here
Create a new contact or update if they already exist. See the docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a new contact, or update if they already exist, and push contact to the selected campaign. See the docs here
Mark a contact as finished in all campaigns by their email address. See the docs here
Mark a contact as replied in all campaigns by their email address. See the docs here
The Reply.io API on Pipedream allows users to automate their sales engagement and follow-up processes efficiently. Leveraging this API, you can streamline communication by triggering personalized emails, managing contacts, and analyzing the performance of sales campaigns. Using Pipedream's serverless platform, you can create workflows that perform actions in Reply.io in response to events from other apps, schedule tasks, and process data in real-time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
reply_io: {
type: "app",
app: "reply_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.reply.io/v1/people`,
headers: {
"X-Api-Key": `${this.reply_io.$auth.api_key}`,
},
})
},
})
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
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}}