Integrate the Reputation Lyncs API with the Python API

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

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Popular Ways to Connect Reputation Lyncs with Python#

Run Python Code with Python API on New Customer Added from Reputation Lyncs API

Reputation Lyncs + Python

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Popular Reputation Lyncs and Python Triggers#

New Customer Added from the Reputation Lyncs API

Emit new event when a new customer is added to the system. See the documentation

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Popular Reputation Lyncs and Python Actions#

Add Customer with the Reputation Lyncs API

Adds a new customer to the Reputation Lyncs platform. See the documentation

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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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Overview of Reputation Lyncs#

Reputation Lyncs offers an API that allows you to monitor and manage online reviews and ratings across various platforms. In Pipedream, this API can be harnessed to create powerful workflows that automate the process of tracking your business's reputation, responding to reviews, and analyzing sentiment across different review sites. Pipedream's serverless platform enables you to integrate these features with other apps seamlessly, triggering actions based on review data or updating dashboards with real-time insights.

Connect Reputation Lyncs#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    reputation_lyncs: {
      type: "app",
      app: "reputation_lyncs",
    }
  },
  async run({steps, $}) {
    const data = {
      "Apikey": `${this.reputation_lyncs.$auth.api_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://reputationlync.com/app/api/customer/validateApiKey`,
      headers: {
        "Content-Type": `application/json`,
      },
      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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