Browse AI

The easiest way to extract structured data from any website with no coding.

Integrate the Browse AI API with the Python API

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

Run Python Code with Python API on Task Completed (Instant) from Browse AI API
Browse AI + Python
 
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Run Python Code with Python API on Task Finished With Error (Instant) from Browse AI API
Browse AI + Python
 
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Task Completed (Instant) from the Browse AI API

Emits an event when a Browse AI task is completed. See the documentation

 
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Task Finished With Error (Instant) from the Browse AI API

Emit new event when a task finishes with an error. See the documentation

 
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Execute Task with the Browse AI API

Runs a robot on-demand with custom input parameters. 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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Overview of Browse AI

The Browse AI API enables the automation of data extraction from websites, turning web pages into organized data. It's built for non-coders and coders alike, allowing for custom web scraping and monitoring tasks. Within Pipedream, you can harness Browse AI to create intricate workflows that trigger actions in other apps based on the data you extract. Think of automated competitive analysis, price tracking, or content changes detection, all streamlined through Pipedream's serverless platform.

Connect Browse AI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    browse_ai: {
      type: "app",
      app: "browse_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.browse.ai/v2/robots`,
      headers: {
        Authorization: `Bearer ${this.browse_ai.$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

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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}}