Integrate the SerpApi API with the Python API

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

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Popular SerpApi and Python Actions#

Scrape Search with the SerpApi API

Scrape the results from a search engine via SerpApi service. 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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Overview of SerpApi#

SerpApi is a powerful tool that scrapes search engine data, bypassing the need to handle the complexity of managing proxies or parsing HTML. With SerpApi, you can extract structured data from Google, Bing, Yahoo, and other search engines in real-time. This makes it invaluable for SEO analysis, market research, and competitive intelligence. When used with Pipedream, SerpApi can automate monitoring of search engine results, track ranking changes, and integrate this data into numerous applications like CRMs, marketing platforms, or custom databases.

Connect SerpApi#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    serpapi: {
      type: "app",
      app: "serpapi",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://serpapi.com/account.json`,
      params: {
        api_key: `${this.serpapi.$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}}

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