What do you want to automate

with Nextdoor Ads and Python?

Prompt, edit and deploy AI agents that connect to Nextdoor Ads, Python and 2,500+ other apps in seconds.

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Create Ad with the Nextdoor Ads API

Creates an ad based on the input payload for an existing NAM ad group. 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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Create Ad Group with the Nextdoor Ads API

Creates an ad group based on the input payload for an existing campaign. See the documentation

 
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Create Advertiser with the Nextdoor Ads API

Creates an advertiser that is tied to the NAM profile the API credentials are tied to. See the documentation

 
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Create Campaign with the Nextdoor Ads API

Creates a campaign. See the documentation

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

Connect Nextdoor Ads

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

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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