Integrate the StackShare API with the Python API

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

Popular StackShare 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.

Try it

Overview of StackShare#

The StackShare API allows you to tap into a comprehensive directory of software tools and cloud infrastructure services. With this API, you can fetch details about different tech stacks, tools, and services used by companies. On Pipedream, you can leverage this API to automate workflows, integrate with other apps, and enrich your datasets with tech stack information. For instance, you could trigger workflows based on new tool releases, compare stacks across companies, or update your CRM with the latest tech used by your prospects.

Connect StackShare#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    stackshare_api: {
      type: "app",
      app: "stackshare_api",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{
      enrichment(domain: "airbnb.com"){
        domain
        companyId
        companyName
        companyTools {
          count
          pageInfo {
            hasNextPage
            endCursor
          }
          edges {
            node {
              tool{
                id
                name
              }
              sourcesSummary
              sources
            }
          }
        }
      }
    }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.stackshare.io/graphql`,
      headers: {
        "x-api-key": `${this.stackshare_api.$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}}