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.
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Popular Browse AI and Python Triggers#
Emits an event when a Browse AI task is completed. See the documentation
Emit new event when a task finishes with an error. See the documentation
Popular Browse AI and Python Actions#
Runs a robot on-demand with custom input parameters. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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#
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#
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies