SERPhouse
High Volume API for SEO companies, data mining services, and SEO Tool Suite as a SaaS.
Integrate the SERPhouse API with the Python API
Setup the SERPhouse API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SERPhouse and Python remarkably fast. Free for developers.
Popular SERPhouse 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 SERPhouse#
The SERPhouse API provides a way to fetch real-time search engine results pages (SERPs) from Google and Bing. With it, you can gather SEO data, monitor keyword rankings, and gain insights into search trends. On Pipedream, you can leverage this API to build serverless workflows that automate SEO tasks, conduct competitive analysis, and integrate with other apps to enhance your digital marketing strategies.
Connect SERPhouse#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
serphouse: {
type: "app",
app: "serphouse",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.serphouse.com/account/info`,
headers: {
Authorization: `Bearer ${this.serphouse.$auth.api_key}`,
},
})
},
})
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}}