Crawlbase
Proxy. Crawl. Scale. All-In-One data crawling and scraping platform for business developers.
Integrate the Crawlbase API with the Python API
Setup the Crawlbase API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Crawlbase and Python remarkably fast. Free for developers.
Popular Crawlbase 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 Crawlbase#
The Crawlbase API provides powerful tools for web scraping and data extraction from any webpage. It handles large-scale data collection tasks, bypassing bot protection and CAPTCHAs, and returning structured data. Within Pipedream, you can leverage Crawlbase to automate the harvesting of web data, integrate scraped content with other services, and process it for analysis, reporting, or triggering other workflows.
Connect Crawlbase#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
crawlbase: {
type: "app",
app: "crawlbase",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.crawlbase.com/account`,
params: {
token: `${this.crawlbase.$auth.api_token}`,
product: `crawling-api`,
},
})
},
})
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}}