Integrate the Anchor Browser API with the Python API

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

Start for free — no credit card required

Watch a demo

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

Popular Anchor Browser and Python Actions#

Create Profile with the Anchor Browser API

Creates a new profile from a session. A Profile stores cookies, local storage, and cache. See the documentation.

Try it

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

Delete Profile with the Anchor Browser API

Deletes an existing profile by its name. See the documentation.

Try it

Start Browser with the Anchor Browser API

Allocates a new browser session for the user, with optional configurations for ad-blocking, captcha solving, proxy usage, and idle timeout. See the documentation.

Try it

Update Profile with the Anchor Browser API

Updates the description or data of an existing profile using a session. See the documentation.

Try it

Connect Anchor Browser#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    anchor_browser: {
      type: "app",
      app: "anchor_browser",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.anchorbrowser.io/api/profiles`,
      headers: {
        "anchor-api-key": `${this.anchor_browser.$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#

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}}

Start for free — no credit card required

Watch a demo