AeroLeads

Aeroleads find emails and phone numbers of business people and businesses from LinkedIn, Google, Yahoo and other sources.

Integrate the AeroLeads API with the Python API

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

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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.

 
Try it

Overview of AeroLeads

AeroLeads API offers a robust solution for automating lead generation and prospecting activities. By leveraging this API on Pipedream, you can streamline the process of finding potential contacts, enriching their data, and syncing with your CRM or marketing tools. To maximize efficiency, you can set up workflows that react to specific triggers, process the data, and perform actions such as creating leads, updating contact lists, and sending personalized outreach emails.

Connect AeroLeads

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aeroleads: {
      type: "app",
      app: "aeroleads",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://aeroleads.com/apis/details`,
      params: {
        api_key: `${this.aeroleads.$auth.api_key}`,
        first_name: `pushkar`,
        last_name: `gaikwad`,
        company_url: `inboundio.com`,
      },
    })
  },
})

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