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with CoinCatch and Python?

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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.

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

Connect CoinCatch#

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import { axios } from "@pipedream/platform";
import crypto from 'crypto';
export default defineComponent({
 props: {
 coincatch: {
 type: "app",
 app: "coincatch",
 }
 },
 async run({ steps, $ }) {
 const accessKey = this.coincatch.$auth.access_key;
 const secretKey = this.coincatch.$auth.secret_key;
 const passphrase = this.coincatch.$auth.passphrase;
 // Helper function to generate signed headers
 const createSignedHeaders = ({
 method,
 requestPath,
 queryString = "",
 body = "",
 }) => {
 const timestamp = Date.now().toString();
 const upperMethod = method.toUpperCase();
 // Build content to sign
 let contentToSign = timestamp + upperMethod + requestPath;
 if (queryString) {
 contentToSign += "?" + queryString;
 }
 if (body) {
 contentToSign += body;
 }
 // Generate signature
 const hmac = crypto.createHmac("sha256", secretKey);
 hmac.update(contentToSign);
 const signature = hmac.digest("base64");
 return {
 timestamp,
 method: upperMethod,
 requestPath,
 queryString,
 body,
 contentToSign,
 signature,
 headers: {
 "ACCESS-KEY": accessKey,
 "ACCESS-SIGN": signature,
 "ACCESS-TIMESTAMP": timestamp,
 "ACCESS-PASSPHRASE": passphrase,
 },
 };
 };
 // Call helper to get signed headers + metadata
 const resp = createSignedHeaders({
 method: "GET",
 requestPath: "/api/mix/v1/account/accounts",
 queryString: "productType=umcbl"
 });
 const url = `https://api.coincatch.com${resp.requestPath}${resp.queryString ? "?" + resp.queryString : ""
 }`;
 // Make the API request
 return await axios($, {
 method: resp.method,
 url,
 headers: resp.headers,
 data: resp.body || undefined,
 });
 },
})

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
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