ScrapingAnt
The easiest way to scrape websites via #API. ScrapingAnt uses the latest Chrome browser and rotates proxies to automate your data mining tasks.
Integrate the ScrapingAnt API with the Python API
Setup the ScrapingAnt API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ScrapingAnt and Python remarkably fast. Free for developers.
Popular ScrapingAnt 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 ScrapingAnt#
The ScrapingAnt API allows you to scrape web pages without getting blocked. It can handle JavaScript rendering, cookies, sessions, and can even interact with web pages as if a real person were browsing. Using Pipedream, you can integrate ScrapingAnt with countless other apps to automate data extraction and feed this data into various business processes, analytics tools, or databases.
Connect ScrapingAnt#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scrapingant: {
type: "app",
app: "scrapingant",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.scrapingant.com/v2/general`,
headers: {
"x-api-key": `${this.scrapingant.$auth.api_token}`,
},
params: {
url: `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}}