Serpdog
Google Search API that allows you to access Google Search Results in real time. It solves the problem of proxies and captchas for a smooth scraping journey.
Integrate the Serpdog API with the Python API
Setup the Serpdog API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Serpdog and Python remarkably fast. Free for developers.
Popular Serpdog 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 Serpdog#
The Serpdog API lets you track search engine rankings for keywords across different regions and devices. Using this API on Pipedream, you can automate SEO monitoring tasks, integrate ranking data into reports, or trigger actions based on ranking changes. Pipedream's serverless platform facilitates the creation of workflows using Serpdog's data, without the need for a dedicated server or complex infrastructure setup.
Connect Serpdog#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
serpdog: {
type: "app",
app: "serpdog",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.serpdog.io/account_info`,
params: {
api_key: `${this.serpdog.$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}}