Integrate the Wachete API with the Python API

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

Popular Ways to Connect Wachete with Python#

Run Python Code with Python API on New Web Content Update (Instant) from Wachete API

Wachete + Python

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Popular Wachete and Python Triggers#

New Web Content Update (Instant) from the Wachete API

Emit new event when a Wachet receives a new notification

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Popular Wachete and Python Actions#

Create Monitor with the Wachete API

Creates a new monitor for a specific website or web page. [See the documentation(https://api.wachete.com/swagger/ui/index/index.html)

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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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Delete Monitor with the Wachete API

Removes an existing monitor for a specific website or web page. [See the documentation(https://api.wachete.com/swagger/ui/index/index.html)

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Fetch Monitor Data with the Wachete API

Retrieves data from a monitored website or web pages. [See the documentation(https://api.wachete.com/swagger/ui/index/index.html)

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Overview of Wachete#

The Wachete API lets you track changes in web content and get notified when updates happen. This is handy for monitoring websites for new content, price changes, or availability of products, without manually checking the sites. Using Pipedream, you can integrate Wachete with other apps to automate reactions to these updates. Think about monitoring your competitors’ sites, keeping tabs on industry news, or even watching for job postings. With Wachete on Pipedream, these tasks become set-and-forget operations.

Connect Wachete#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    wachete: {
      type: "app",
      app: "wachete",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.wachete.com/thirdparty/v1/notification/list`,
      headers: {
        Authorization: `Bearer ${this.wachete.$auth.oauth_access_token}`,
        "Content-type": `application/json`,
        "accept": `*/*`,
      },
    })
  },
})

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#

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}}