Integrate the Outscraper API with the Python API

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

Popular Ways to Connect Outscraper with Python#

Run Python Code with Python API on New Task Finished from Outscraper API

Outscraper + Python

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Popular Outscraper and Python Triggers#

New Task Finished from the Outscraper API

Emit new event when a task is finished on Outscraper.

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Popular Outscraper and Python Actions#

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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Reverse Geocoding with the Outscraper API

Translates geographic locations into human-readable addresses. See the documentation

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Scrape Emails and Contacts with the Outscraper API

Finds email addresses, social links, and phone numbers from given domains. See the documentation

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Search Places on Google Maps with the Outscraper API

Searches for places on Google Maps using queries. See the documentation

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Overview of Outscraper#

Outscraper provides a powerful API to scrape public data from Google services like Google Maps, Google Search, and Google Ads. The API can extract rich datasets including business listings, reviews, ads data, and SERP. When leveraged with Pipedream, you can automate workflows integrating Outscraper's capabilities with other apps, conduct data analysis, monitor brand mentions, or enrich CRM data, all in real-time and without the need for manual intervention.

Connect Outscraper#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    outscraper: {
      type: "app",
      app: "outscraper",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.app.outscraper.com/profile/balance`,
      headers: {
        "X-API-KEY": `${this.outscraper.$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}}