Data Stores

Use Pipedream Data Stores to manage state throughout your workflows.

Integrate the Data Stores API with the Python API

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

Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

 
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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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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

 
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Check for existence of key with the Data Stores API

Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.

 
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Delete a single record with the Data Stores API

Delete a single record in your Pipedream Data Store.

 
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Overview of Data Stores

With the Data Stores API, you can build applications that:

  • Store data for later retrieval
  • Retrieve data from a store
  • Update data in a store
  • Delete data from a store

Connect Data Stores

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export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}