Integrate the RocketReach API with the Python API

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

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Popular RocketReach and Python Actions#

lookup company with the RocketReach API

Lookup the profile of a company. See docs here

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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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lookup profile with the RocketReach API

Lookup the profile of a person. See docs here

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Overview of RocketReach#

The RocketReach API lets you tap into a vast database of professionals to find email addresses, phone numbers, and social media profiles. With it, you can enrich lead data, automate the process of lead generation, and integrate this enriched data into your CRM or marketing automation tools. Pipedream's platform allows you to create serverless workflows using the RocketReach API to trigger events, handle data, and connect with countless other apps to streamline your processes.

Connect RocketReach#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rocketreach: {
      type: "app",
      app: "rocketreach",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rocketreach.co/v1/api/account?api_key=${this.rocketreach.$auth.api_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}}

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