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
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: ``,
},
})
},
})
The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.
export default defineComponent({
async run({ steps, $ }) {
let condition = false
if (condition == false) {
$.flow.exit("Ending workflow early because the condition is false")
} else {
$.export("$summary", "Continuing workflow, since condition for ending was not met.")
}
},
})