UpLead

B2B Prospecting with 95% Data Accuracy. Build prospecting lists free from dodgy data, bad-fit buyers and low-qualified leads.

Integrate the UpLead API with the Python API

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

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Get Company By Domain with the UpLead API

Get a company by domain. 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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Get Contact By Email with the UpLead API

Get a contact by email. See the documentation

 
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Overview of UpLead

The UpLead API provides access to a robust database of B2B contacts and companies, enabling users to enrich leads with detailed information like email addresses, phone numbers, company details, and more. Within Pipedream, you can integrate the UpLead API to automate lead enrichment, sync lead data with other tools, and build custom workflows that leverage UpLead's data for sales intelligence, marketing campaigns, and CRM data enhancement.

Connect UpLead

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    uplead: {
      type: "app",
      app: "uplead",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.uplead.com/v2/credits`,
      headers: {
        "Authorization": `${this.uplead.$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