Content optimization with semantic SEO.
Launches a new query based on provided keyword, search engine, and language. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Pulls the most recent revision of the content saved for a specific query. See the documentation
Fetches the data related to a pre-defined query. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
neuronwriter: {
type: "app",
app: "neuronwriter",
}
},
async run({steps, $}) {
const data = {
"project": `${this.neuronwriter.$auth.project_id}`,
}
return await axios($, {
method: "post",
url: `https://app.neuronwriter.com/neuron-api/0.5/writer/list-queries`,
headers: {
"X-API-KEY": `${this.neuronwriter.$auth.api_key}`,
},
data,
})
},
})
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}}