Visitor Queue

Visitor Queue is an advanced B2B lead generation software that identifies the name, contact details & user data of the businesses that visit your website.

Integrate the Visitor Queue API with the Python API

Setup the Visitor Queue API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Visitor Queue and Python remarkably fast. Free for developers.

Run Python Code with Python API on New Lead from Visitor Queue API
Visitor Queue + Python
 
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New Lead from the Visitor Queue API

Emit new event when a new Waiver sign is received. See docs here

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Overview of Visitor Queue

The Visitor Queue API lets you track and identify businesses that visit your website, providing valuable data for lead generation and marketing analytics. By leveraging this API on Pipedream, you can automate tasks such as scoring leads, syncing data with CRM systems, and engaging with potential customers through targeted outreach. The ability to connect with hundreds of apps on Pipedream allows for powerful, automated workflows that can enrich your sales pipeline and optimize your marketing strategies.

Connect Visitor Queue

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    visitor_queue: {
      type: "app",
      app: "visitor_queue",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.visitorqueue.com/api/v1/ga_views`,
      headers: {
        "Authorization": `Token ${this.visitor_queue.$auth.api_key}`,
      },
    })
  },
})

Overview of Python

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:

Connect Python

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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}}