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with Apify (OAuth) and Python?

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Run Python Code with Python API on New Finished Actor Run (Instant) from Apify (OAuth) API
Apify (OAuth) + Python
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Run Python Code with Python API on New Finished Task Run (Instant) from Apify (OAuth) API
Apify (OAuth) + Python
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New Finished Actor Run (Instant) from the Apify (OAuth) API

Emit new event when a selected Actor is run and finishes.

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New Finished Task Run (Instant) from the Apify (OAuth) API

Emit new event when a selected task is run and finishes.

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Get Dataset Items with the Apify (OAuth) API

Returns data stored in a dataset. 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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Get Key-Value Store Record with the Apify (OAuth) API

Gets a record from a key-value store. See the documentation

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Run Actor with the Apify (OAuth) API

Performs an execution of a selected Actor in Apify. See the documentation

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Run Task with the Apify (OAuth) API

Run a specific task and optionally wait for its termination. Not for use with Pipedream Connect. See the documentation

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

Connect Apify (OAuth)#

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import { axios } from "@pipedream/platform"
export default defineComponent({
 props: {
 apify_oauth: {
 type: "app",
 app: "apify_oauth",
 }
 },
 async run({steps, $}) {
 return await axios($, {
 url: `https://api.apify.com/v2/users/me`,
 headers: {
 Authorization: `Bearer ${this.apify_oauth.$auth.oauth_access_token}`,
 },
 })
 },
})

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
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