Integrate the iScraper API with the Python API

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

Popular iScraper 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.

Overview of iScraper#

The iScraper API is a powerful tool for extracting information from Instagram, making it possible to gather rich data sets from user profiles, hashtags, and posts. When leveraged through Pipedream, iScraper can become a part of diverse workflows, automating the collection of social media insights and integrating them with other services for analysis, reporting, or social media management. With Pipedream, you can create event-driven workflows that react to new data from iScraper, orchestrate data flow across multiple services, and handle complex tasks without managing infrastructure.

Connect iScraper#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    iscraper: {
      type: "app",
      app: "iscraper",
    }
  },
  async run({steps, $}) {
    const data = {
      "profile_id": `williamhgates`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.iscraper.io/v2/profile-details`,
      headers: {
        "Content-Type": `application/json`,
        "X-API-KEY": `${this.iscraper.$auth.api_key}`,
      },
      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}}