ScrapingBee
We're an API that handles headless browsers and rotates proxies for you.
Integrate the ScrapingBee API with the Python API
Setup the ScrapingBee API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ScrapingBee and Python remarkably fast. Free for developers.
Popular ScrapingBee and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of ScrapingBee#
The ScrapingBee API lets you extract data from web pages programmatically. It handles headless browsers and rotating proxies, so you can focus on data extraction without worrying about common web scraping issues like getting blocked. On Pipedream, you can tap into ScrapingBee's capability to create serverless workflows that scrape web data and connect them with numerous services for processing, storing, or triggering actions.
Connect ScrapingBee#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scrapingbee: {
type: "app",
app: "scrapingbee",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.scrapingbee.com/api/v1/`,
params: {
api_key: `${this.scrapingbee.$auth.api_key}`,
json_response: `True`,
url: `https://pipedream.com`,
},
})
},
})
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}}