Integrate the Yelp API with the Python API

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

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Popular Yelp and Python Actions#

Get Business Details with the Yelp API

Get details about a business See docs here

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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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List Business Reviews with the Yelp API

List the reviews for a business See docs here

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Search Businesses with the Yelp API

Search businesses matching given criteria See docs here

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Search Businesses By Phone Number with the Yelp API

Search businesses by phone number See docs here

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Overview of Yelp#

The Yelp API provides access to rich data on local businesses across various categories, including restaurants, bars, and service providers. Leveraging Yelp's API on Pipedream allows you to automate the retrieval of business information, ratings, and customer reviews, which can be instrumental in making data-driven decisions for market analysis, customer insights, or even personal use. By stitching the Yelp API into Pipedream workflows, you unlock potential for real-time monitoring, data collection, and cross-application synergy, enhancing your business intelligence and operational efficiency.

Connect Yelp#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    yelp: {
      type: "app",
      app: "yelp",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.yelp.com/v3/businesses/search`,
      headers: {
        Authorization: `Bearer ${this.yelp.$auth.api_key}`,
      },
      params: {
        location: `san francisco, ca`,
      },
    })
  },
})

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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