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.
Popular Leadfeeder and Python Actions#
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.
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}}