Ads in seconds from T-Rex sizes of Data
Generates a new banner using provided data. This action can create different types of banners, such as animated HTML5, image, or video banners. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Retrieves a specified banner. This action should be used after a 'create-banner' action to ensure that the banner is fully processed and ready for use. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
adrapid: {
type: "app",
app: "adrapid",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.adrapid.com/me`,
headers: {
Authorization: `Bearer ${this.adrapid.$auth.api_token}`,
},
})
},
})
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:
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}}