Integrate the Oxylabs API with the Python API

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

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Popular Oxylabs 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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Overview of Oxylabs#

The Oxylabs API provides robust tools for web data extraction, enabling you to gather vast amounts of data efficiently from various sources across the web. With Pipedream's serverless platform, you can harness this power to create automated workflows that trigger on specific events, process the data, and connect to other services. Whether you're monitoring brand sentiment, tracking prices, or conducting market research, integrating Oxylabs with Pipedream can significantly streamline your data collection and analysis tasks.

Connect Oxylabs#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    oxylabs: {
      type: "app",
      app: "oxylabs",
    }
  },
  async run({steps, $}) {
    const data = {
      "geo_location": `United States`,
      "url": `https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html`,
      "source": `universal`,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.oxylabs.$auth.api_name}.oxylabs.io/v1/queries`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.oxylabs.$auth.username}`,
        password: `${this.oxylabs.$auth.password}`,
      },
      data,
    })
  },
})

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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