Facebook Lead Ads
Capture leads in Facebook ads — lead ads provide people with a quick and privacy-safe way to sign up to receive information from your business.
Integrate the Facebook Lead Ads API with the Python API
Setup the Facebook Lead Ads API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Facebook Lead Ads and Python remarkably fast. Free for developers.
Popular Facebook Lead Ads and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Facebook Lead Ads#
The Facebook Lead Ads API allows for automated retrieval and integration of leads generated from Facebook Lead Ads into various business processes and systems. On Pipedream, you can harness this API to create serverless workflows that trigger actions based on new lead data, sync leads to CRMs, send personalized follow-up emails, and more, without managing infrastructure.
Connect Facebook Lead Ads#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
facebook_lead_ads: {
type: "app",
app: "facebook_lead_ads",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.facebook.com/v17.0/me/`,
headers: {
Authorization: `Bearer ${this.facebook_lead_ads.$auth.oauth_access_token}`,
},
})
},
})
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#
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}}