Find, attract and engage with your prospects on LinkedIn. Scale your business with free marketing automation.
Queues a connection request to actively connect with a targeted LinkedIn profile. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Queues a direct message that will be sent to the targeted profile. See the documentation
Queues a profile save action to store the targeted profile as a lead. See the documentation
The Dux Soup API enables users to automate interactions and manage leads on LinkedIn. Within Pipedream, you can harness this API to craft workflows that engage with your LinkedIn network, manage connections, and streamline your lead generation process. Automating tasks like sending connection requests, following up with contacts, and tracking profile visits can save valuable time and boost your LinkedIn marketing efforts.
// To use any npm package on Pipedream, just import it
import axios from "axios";
import jsSHA from "jssha";
export default defineComponent({
props: {
dux_soup: {
type: "app",
app: "dux_soup",
}
},
async run({ steps, $ }) {
const targeturl = `${this.dux_soup.$auth.target_url}/queue`;
const userid = `${this.dux_soup.$auth.user_id}`;
const auth_key = `${this.dux_soup.$auth.auth_key}`;
var shaObj = new jsSHA("SHA-1", "TEXT");
const timestamp = +new Date();
let commandrequestjsonbody = {
command: "visit",
targeturl,
userid: userid,
timestamp: timestamp,
params: {
profile: "",
}
}
commandrequestjsonbody = JSON.stringify(commandrequestjsonbody);
shaObj.setHMACKey(auth_key, "TEXT");
shaObj.update(commandrequestjsonbody);
var hmac = shaObj.getHMAC("B64");
const config = {
url: targeturl,
method: "POST",
headers: {
"X-Dux-Signature": hmac,
"Content-Type": "application/json"
},
data: commandrequestjsonbody
};
return (await axios(config)).data;
},
})
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}}