CoinMarketCal

The most trusted crypto events database in the industry.

Integrate the CoinMarketCal API with the Python API

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

Run Python Code with Python API on New Event Added from CoinMarketCal API
CoinMarketCal + Python
 
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New Event Added from the CoinMarketCal API

Emit new event when a new event is created.

 
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List Categories with the CoinMarketCal API

Obtain a list of all available event categories in CoinMarketCal. See the 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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List Coins with the CoinMarketCal API

Obtain a list of all available coins in CoinMarketCal. See the docs here

 
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Search Events with the CoinMarketCal API

Retrieve a list of events based on specified filters. See the docs here

 
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Overview of CoinMarketCal

CoinMarketCal API delivers information on cryptocurrency events. It can serve as a critical data source for market sentiment analysis, trading, and investment strategies. With Pipedream, you can trigger workflows based on this data, process and analyze it, or connect it to other services to create comprehensive crypto market tools.

Connect CoinMarketCal

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    coinmarketcal: {
      type: "app",
      app: "coinmarketcal",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://developers.coinmarketcal.com/v1/events`,
      headers: {
        "x-api-key": `${this.coinmarketcal.$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}}