What do you want to automate
with Bright Data and Python?
Prompt, edit and deploy AI agents that connect to Bright Data, Python and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Bright Data and Python Actions#
Extract search engine results using Bright Data SERP API. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Send an API call to a URL and get the HTML back. Enables you to bypass anti-bot measures, manages proxies, and solves CAPTCHAs automatically for easier web data collection. See the documentation
Connect Bright Data#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bright_data: {
type: "app",
app: "bright_data",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.brightdata.com/customer/balance`,
headers: {
Authorization: `Bearer ${this.bright_data.$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