Integrate the Crunchbase API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Crunchbase and Python Actions#

Get Organization Details with the Crunchbase API

Retrieve details about an organization. See the documentation

Try it

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

Search Organizations with the Crunchbase API

Search for organizations based on specified criteria. See the documentation

Try it

Overview of Crunchbase#

The Crunchbase API grants access to a trove of information on companies, investors, and the key players steering them. With Pipedream, you can harness this data to enrich CRM leads, track investments, or automate market research. By marrying the Crunchbase API with Pipedream's serverless platform, you unlock a realm of possibilities, creating workflows that respond dynamically to events like funding rounds or acquisitions, or that periodically aggregate data for analysis.

Connect Crunchbase#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    crunchbase: {
      type: "app",
      app: "crunchbase",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.crunchbase.com/v3.1/organizations?user_key=${this.crunchbase.$auth.user_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}}

Start for free — no credit card required

Watch a demo