LIME Go

Lime Go boosts sales. Lime Go is a sales tool filled with features for exceptional customer relationships. For you who want to sell smarter.

Integrate the LIME Go API with the Python API

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

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 LIME Go

LIME Go is a smart CRM tailored for B2B sales teams, designed to streamline customer relationship management with features like lead generation, deal tracking, and proactive suggestions for best next steps. Using the LIME Go API with Pipedream allows you to automate interactions with your CRM data, sync with other business tools, and tailor your sales process with real-time data flows. Create workflows that trigger actions based on CRM events, enrich contact data, or synchronize sales activities across platforms, all with minimal code.

Connect LIME Go

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lime_go: {
      type: "app",
      app: "lime_go",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.lime-go.com/v1/ping`,
      headers: {
        "Authorization": `go-api: ${this.lime_go.$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

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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}}