Integrate the Phantombuster API with the Python API

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

Popular Ways to Connect Phantombuster with Python#

Run Python Code with Python API on New Output Created Event from Phantombuster API

Phantombuster + Python

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Popular Phantombuster and Python Triggers#

New Output Created Event from the Phantombuster API

Emit new events when new outputs are created. See the docs here

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Popular Phantombuster and Python Actions#

Launch Phantom with the Phantombuster API

Adds an agent to the launch queue, See the docs

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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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Overview of Phantombuster#

Phantombuster is a powerful API that enables users to build efficient web
automation solutions. It provides a pool of services and tools to help users
quickly, easily and securely interact with multiple websites at once.

With Phantombuster, users can create custom automated solutions to perform
various tasks such as data extraction, lead generation, marketing automation,
and web scraping. Here are a few of the things users can build using
Phantombuster:

Data extraction - Phantombuster's API allows users to quickly and securely
extract data from multiple sites and APIs, allowing users to access large
amounts of data at once and extract only what they need.
Lead generation - Phantombuster's API connects to multiple social networks
and websites, allowing users to quickly and accurately gather leads or
potential contacts and store them into a database.
Automated marketing campaigns - Phantombuster's API enables users to create
and launch automated marketing campaigns, automating the entire process and
saving time and money.
Web scraping - Phantombuster's API allows users to scrape entire webpages or
just parts of it, enabling streamlined data years.
Robot monitoring - Phantombuster's API enables users to monitor robots,
allowing them to keep an eye on their tasks and ensuring their bots are
running as efficiently as possible.
Data analytics - Phantombuster's API allows users to easily analyze and
visualize their gathered data, allowing them to quickly make decisions based
on their collected data.

Connect Phantombuster#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    phantombuster: {
      type: "app",
      app: "phantombuster",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.phantombuster.com/api/v1/user`,
      headers: {
        "X-Phantombuster-Key-1": `${this.phantombuster.$auth.api_key}`,
      },
    })
  },
})

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#

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}}