Woodpecker is an intuitive cold email tool for lead gen, sales & recruitment professionals. The tool allows you to automatically connect with your prospective clients or business partners.
Emit new event when an email is opened see the docs here
Emit new event when an email is sent see the docs here
Emit new event when you get an autoreply and you set a date to resume follow-ups see the docs here
Emit new event when a prospect clicks on a link in your email see the docs here
Emit new event when an autoreply is detected or prospect's status is manually changed to 'Autoreplied' see the docs here
This action creates/updates a prospect. See the docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
This action creates/updates a prospect in a campaign. See the docs here
This action searches a specific prospect. See the docs here
This action updates a prospect to stop receiving follow-ups. See the docs here
The Woodpecker.co API lets you automate your email outreach and follow-up processes. With it, you can manage contacts, campaigns, and emails programmatically, creating a seamless bridge between your email campaigns and your data. This API, integrated with Pipedream, unlocks powerful workflows that can save time, personalize communication at scale, and keep your data in sync across various platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
woodpecker_co: {
type: "app",
app: "woodpecker_co",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.woodpecker.co/rest/v1/campaign_list`,
auth: {
username: `${this.woodpecker_co.$auth.api_key}`,
password: ``,
},
})
},
})
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}}