How to Pull Data from an API using Python Requests (2024)

How to Pull Data from an API using Python Requests (3)

The thing that I’m asked to do over and over again is automate pulling data from an API. Despite holding the title “Data Scientist” I’m on a small team, so I’m not only responsible for building models, but also pulling data, cleaning it, and pushing and pulling it wherever it needs to go. Many of you are probably in the same boat.

When I first began my journey for learning how to make HTTP requests, pull back a JSON string, parse it, and then push it into a database I had a very hard time finding clear, concise articles explaining how to actually do this very important task. If you’ve ever gone down a Google black hole to resolve a technical problem, you’ve probably discovered that very technical people like to use technical language in order to explain how to perform the given task. The problem with that is, if you’re self-taught, as I am, you not only have to learn how to do the task you’ve been asked to do but also learn a new technical language. This can be incredibly frustrating.

If you want to avoid learning technical jargon and just get straight to the point, you’ve come to the right place. In this article, I’m going to show you how to pull data from an API and then automate the task to re-pull every 24 hours. For this example, I will utilize the Microsoft Graph API and demonstrate how to pull text from emails. I will refrain from using pre-prepared API packages and rely on HTTP requests using the Python Requests package — this way you can apply what you learn here to nearly any other RESTful API that you’d need to work on.

If you're having trouble with API requests in this tutorial, here’s a tip: Use Postman. Postman is a fantastic app that allows you to set up and make API calls through a clean interface. The beauty of it is once you get the API call working, you can export the code in Python and then paste it right into your script. It’s amazing.

*Note: This tutorial is meant to be a simple and easy to understand method to access an API, that’s it. It will likely not be robust to your exact situation or data needs, but should hopefully set you down the right path. I’ve found the below method to be the simplest to understand to quickly get to pulling data. If…

How to Pull Data from an API using Python Requests (2024)

FAQs

How to extract API data in Python? ›

Data Engineer - Extract API Data
  1. #!mamba install pandas==1.3.3 -y #!mamba install requests==2.26.0 -y.
  2. import requests import pandas as pd.
  3. # Save the Dataframe data. to_csv('exchange_rates_1.csv')

How to get value from API response in Python? ›

Here's the Python syntax for making a simple GET and POST request:
  1. GET request. import requests # The API endpoint url = "https://jsonplaceholder.typicode.com/posts/1" # A GET request to the API response = requests. ...
  2. POST request.

How to extract data from get request in Python? ›

get() method since we are sending a GET request. The two arguments we pass are URL and the parameters dictionary. Now, in order to retrieve the data from the response object, we need to convert the raw response content into a JSON-type data structure. This is achieved by using json() method.

How to extract specific data from API? ›

How to use data extraction API?
  1. Step 1 - Kickstart your journey by signing up! ...
  2. Step 2 - Go through API documentation. ...
  3. Step 3 - Set up the platform. ...
  4. Step 4 - Send an API request. ...
  5. Step 5 - API authentication. ...
  6. Step 6 - Parameterizing requests. ...
  7. Step 7 - Errors handling. ...
  8. Step 8 - Extraction and integration.

How to fetch data from rest API in Python? ›

REST APIs provide access to web service data through public web URLs. This URL allows you to access information about a specific GitHub user. You access data from a REST API by sending an HTTP request to a specific URL and processing the response.

How do I fetch data from API? ›

With the Fetch API, you make a request by calling fetch() , which is available as a global function in both window and worker contexts. You pass it a Request object or a string containing the URL to fetch, along with an optional argument to configure the request.

How do I fetch API responses? ›

  1. Fetch API.
  2. Response.
  3. Constructor. Response()
  4. Instance properties. body. bodyUsed. headers. ok. redirected. status. ...
  5. Static methods. error() json() redirect()
  6. Instance methods. arrayBuffer() blob() bytes() clone() formData() json() ...
  7. Related pages for Fetch API. Headers. Request. RequestInit. Window.fetch() WorkerGlobalScope.fetch()
Jul 23, 2024

How do I receive responses from API? ›

In JavaScript, use fetch or XMLHttpRequest to make the request. Then, extract the response data from the returned object. Example code: fetch(url). then(response => response.

How to get JSON data from API in Python? ›

Transforming a JSON API Response Into a Python Dictionary

urlopen() peforms the API call and returns an HTTPResponse object. Its read() method is then used to get the response body body_json, which contains the API response as a JSON string. Finally, that string can be parsed into a Python dictionary through json.

How to pull data from JSON in Python? ›

To read JSON data, you can use the built-in json module (JSON Encoder and Decoder) in Python. The json module provides two methods, loads and load, that allow you to parse JSON strings and JSON files, respectively, to convert JSON into Python objects such as lists and dictionaries.

How do you pull data into Python? ›

Load Data With Built-In Python Functions

To both read from and write to a file, you can use the built-in function open() , which takes in two parameters: file name and mode. File name: the directory path to the file that you want to read or write to. Mode: the mode you want to use for the file.

What are the limitations of get method in Python? ›

What is the limit of GET method? The GET method typically has a limitation on the length of the URL, often around 2048 characters, depending on the browser and server. This includes the length of the entire URL, including the query string parameters.

How does API pull data? ›

API is present on the server side and allows communication and sharing of information or data between two programs or softwares. To get a desired information from the server, you as the client would send a request, which is a combination of URL and HTTP methods.

How to pull data from Web API? ›

  1. 1 Register a Web API. Click the Create button (top right) in the data integration workspace and select the type REST request. ...
  2. 2 Create a JSON parser. ...
  3. 3 Create a JSON Dataset. ...
  4. 4 Create a Knowledge Graph. ...
  5. 5 Create a Transformation. ...
  6. 6 Create a Workflow.

Can I scrape data from API? ›

API scraping is the process of extracting data from an API that provides access to web applications, databases, and other online services. Unlike extracting from a website's visual components, this method uses simple API calls to interact with a service's backend, ensuring more structured and dependable data retrieval.

How to collect data with API? ›

Now, we will use Acho as an example to demonstrate how to connect to your API with no coding.
  1. Configure the API endpoint. An API endpoint can be complex. ...
  2. Create an API resource. ...
  3. Store data into a database. ...
  4. Transform the API data. ...
  5. Export the data to an application. ...
  6. Check and maintain the pipeline.
Dec 17, 2023

How to extract data from JSON API? ›

To extract JSON data from a column and put it in separate columns:
  1. Go to the column in the workbook. ...
  2. Use the column's menu to select Extract columns. ...
  3. In the modal, select the fields you want to pull out into their own columns.
  4. Click Confirm. ...
  5. Use the new columns in your explorations and analysis.

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