Integrate the Serply API with the Python API

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

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Popular Serply and Python Actions#

Search Bing with the Serply API

Performs a Bing search using the Serply API. 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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Search for Website in SERP (Search Engine Results Pages) with the Serply API

Performs a Google Search and searches for a website in Search Engine Results Pages (SERP). See the documentation

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Search Google with the Serply API

Performs a Google search using the Serply API. See the documentation

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Overview of Serply#

The Serply API offers a way to automate SEO tasks by providing data about search engine results pages (SERPs). It enables you to retrieve search results, rankings, and related keywords, which can be essential for SEO analysis and content strategy. On Pipedream, you can leverage Serply to create powerful workflows that trigger on various events, process SERP data, and integrate with other services for a seamless automation experience.

Connect Serply#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    serply: {
      type: "app",
      app: "serply",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.serply.io/v1/search/q=pipedream`,
      headers: {
        "X-Api-Key": `${this.serply.$auth.api_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#

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}}

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