LinkedIn Ads
Use LinkedIn self-service ads to reach more than 900+ million users worldwide.
Integrate the LinkedIn Ads API with the Python API
Setup the LinkedIn Ads API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate LinkedIn Ads and Python remarkably fast. Free for developers.
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Popular LinkedIn Ads and Python Triggers#
Emit new event when a fresh response is received on the event registration form. User needs to configure the prop of the specific event. See the documentation
Emit new event when a new lead is captured through a form. See the documentation
Popular LinkedIn Ads and Python Actions#
Queries the Analytics Finder to get analytics for the specified entity i.e company, account, campaign. See the docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Sample query using analytics finder that gets analytics for a particular account for date range starting in a given year. See the docs here
Sample query using analytics finder that gets analytics for a particular campaign in a date range starting in a given year. See the docs here
Sends a conversion event to LinkedIn Ads. See the documentation
Overview of LinkedIn Ads#
The LinkedIn Ads API on Pipedream enables you to automate and integrate your LinkedIn advertising efforts with other services. Fetch campaign data, manage ad accounts, or automate ad creation and adjustments. With Pipedream, you can trigger workflows with HTTP requests, emails, and on a schedule, and connect to thousands of other apps with minimal effort.
Connect LinkedIn Ads#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
linkedin_ads: {
type: "app",
app: "linkedin_ads",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.linkedin.com/v2/me`,
headers: {
Authorization: `Bearer ${this.linkedin_ads.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies