What do you want to automate

with Prospeo and Python?

Prompt, edit and deploy AI agents that connect to Prospeo, Python and 2,500+ other apps in seconds.

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Extract Data with the Prospeo API

Extract data from any LinkedIn profile in real-time, as well as all the data from the company page, and also find a valid verified email from the lead. See the documentation

 
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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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Find Email with the Prospeo API

Find an email address. See the documentation

 
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Find Mobile Number with the Prospeo API

Discover mobile numbers associated with a LinkedIn profile URL. See the documentation

 
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Search Domain with the Prospeo API

Discover email addresses associated with a domain name, website, or company name. See the documentation

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

Connect Prospeo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    prospeo: {
      type: "app",
      app: "prospeo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api.prospeo.io/account-information`,
      headers: {
        "x-key": `${this.prospeo.$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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo