Integrate the Diffbot API with the Python API

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

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Popular Diffbot and Python Actions#

Enhance Entity with the Diffbot API

Enrich a person or organization record with partial data input [See the documentation] (https://docs.diffbot.com/reference/enhancepost)

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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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Extract Page with the Diffbot API

Automatically classify a page and extract data according to its type. See the documentation

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Overview of Diffbot#

The Diffbot API enables you to extract structured data from web pages automatically. It transforms the chaos of the web into usable information through web scraping and natural language processing. On Pipedream, you can use Diffbot to monitor changes on websites, extract article data, or process web pages for specific information. By tapping into Pipedream’s ability to integrate with hundreds of other services, you can create powerful workflows that automate data extraction and act on the data in real-time.

Connect Diffbot#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    diffbot: {
      type: "app",
      app: "diffbot",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.diffbot.com/v4/account`,
      headers: {
        "Accept": `application/json`,
      },
      params: {
        token: `${this.diffbot.$auth.api_token}`,
      },
    })
  },
})

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}}

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