What do you want to automate

with Scrapeless and Python?

Prompt, edit and deploy AI agents that connect to Scrapeless, Python and 2,500+ other apps in seconds.

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Crawler with the Scrapeless API

Crawl any website at scale and say goodbye to blocks. See the documentation

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Get Scrape Result with the Scrapeless API

Retrieve the result of a completed scraping job. See the documentation

 
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Scraping API with the Scrapeless API

Endpoints for fresh, structured data from 100+ popular sites. See the documentation

 
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Submit Scrape Job with the Scrapeless API

Submit a new web scraping job with specified target URL and extraction rules. See the documentation

 
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Integrate the Scrapeless API with the Python API
Setup the Scrapeless API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Scrapeless and Python remarkably fast. Free for developers.

Overview of Scrapeless

Scrapeless – your go-to platform for powerful, compliant web data extraction. With tools like Universal Scraping API, Scrapeless makes it easy to access and gather data from complex sites. Focus on insights while we handle the technical hurdles. Scrapeless – data extraction made simple.

Connect Scrapeless

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    scrapeless: {
      type: "app",
      app: "scrapeless",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.scrapeless.com/api/v1/me`,
      headers: {
        "x-api-token": `${this.scrapeless.$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

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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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo