Leadfeeder

Leadfeeder is the #1-rated app for Google Analytics and it's the best way to generate free sales leads.

Integrate the Leadfeeder API with the Python API

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

Run Python Code with Python API on New Lead Created from Leadfeeder API
Leadfeeder + Python
 
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Run Python Code with Python API on New Recurring Lead from Leadfeeder API
Leadfeeder + Python
 
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New Lead Created from the Leadfeeder API

Emit new event when a new lead is created. See the docs

 
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New Recurring Lead from the Leadfeeder API

Emit new event when a lead is recurred. See the docs

 
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Find Lead with the Leadfeeder API

Retrieves a specific lead. See the docs.

 
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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 Leadfeeder

Leadfeeder is a powerful API that allows you to build a variety of applications
and tools. Here are some examples of what you can build with the Leadfeeder
API:

  • A lead capture tool that allows you to capture leads from a variety of
    sources
  • A lead management tool that allows you to track and manage your leads
  • A reporting tool that allows you to generate reports on your leads
  • A CRM integration that allows you to integrate your lead data with your CRM

Connect Leadfeeder

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

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}