How to scrape data in python

by Admin
Python Programming


Web scraping is a technique used to retrieve data from websites. This can be done by writing custom code or using shortcuts such as APIs, web services, and third-party libraries. Python is a popular choice for web scraping because it’s easy to learn and has a large community of users. In this article, we’ll explore some of the basics of web scraping with Python so you can start building your data extraction scripts!

Understand the basics of web scraping with Python

A web scraper is a program that automatically extracts data from web pages. Web scraping can be done in many programming languages, but we’ll use Python here because it is extremely powerful and has many packages available to help us do our job quickly and efficiently.
Python is an open-source language created by Guido van Rossum in 1989. It’s known for its readability, flexibility, and portability across significant platforms (Windows/macOS/Linux).

We have also taken inputs from industry experts in Python programming space like Webisoft, a leading Python development company.

Get familiar with strings in Python

Let’s start by getting familiar with strings in Python. They are immutable, meaning they can’t be changed after creation. They also store text, numbers, dates, times, and email addresses.

Get a basic overview of the API and its uses

An API software tool allows one application to communicate with another. It lets you, for example, create a web app that draws information from an external database or service like Twitter or Facebook.
An API gives you access to data usually hidden away from users and prevents them from directly accessing the data source. This can be helpful if your website needs more power than what it can provide on its own—for instance, if it has a large number of users who would otherwise slow down performance by making requests for information.

Learn how to open, write and read data using python

Let’s walk through the basics of how to open, write, and read data using Python.
First, let’s open a new file:
file = open(‘my_data.txt’, “r”)
If you run this code in the terminal, it will display an empty line because we haven’t written anything yet!
Next, let’s write some data to our new text file:
Now let’s close it with

Work with HTTP requests and responses to retrieve data from an API

If you’re new to web scraping, you might wonder how it works. The first thing to do is to import the requests module, which makes HTTP requests and sends data back over a network. You’ll also want to import JSON so that you can convert the response into a JSON object.
With these two modules imported, your next step is to find the URL of your data source (in this case, Wikipedia). Once you have this information handy and your programs loaded up with requests and JSON , use the following steps:
Make an HTTP GET request using requests. This will return a Response object
Convert this response into a JSON object using JSON
Extract relevant information from the JSON object using indexing (more on this below)

Learn how to use loops, conditionals and other methods in Python

You can also use loops, conditionals, and other methods in Python. For example, let’s say you want to count the number of words in a file.
LOOP: Counting the number of words in a text file
Let’s say that you have a text file called “test.txt” with these contents:
Line 1 – Line 2 – Line 3 – Line 4 – Line 5
You can use a for loop to print out each line in this file like so:
for a word in test_file.readlines(): print(word)

Iterate through the returned JSON object using Python and extract information using variables

Now that you’ve downloaded the JSON object, you can convert it into a Python object using the json.loads() method. Then, iterate through the returned JSON object using Python and extract information using variables.
To convert a string into a Python object:
json_str = ‘{“name”: “John”, “age”: 30}’
obj = json.loads(json_str)
To convert a Python object into a string:
obj = {‘name’: ‘John’, ‘age’: 30}
str = json._encode(obj)

You can download data from the internet using python scripts

Python is a popular programming language that can be used to scrape data from the internet. This tutorial will teach you how to use Python scripts to pull JSON data from an API, which stands for an application programming interface. An API is a set of protocols or tools that allow services on one system or piece of software to communicate with another. This communication aims to work together seamlessly and efficiently without having to worry about compatibility issues between them because they’re using the same standards.
API stands for Application Programming Interface
The first thing we’ll need for our script (and any other script) will be an internet connection so we can access the internet and download whatever we want from it!


Now that you’ve learned how to scrape data in Python, it’s time to put your new skills into practice. To practice this, create a free account on and try to get a currency pair JSON response.
You can start by writing a script that retrieves some information from a website or API, then save it as a CSV file and explore further by adding more features. The possibilities are endless!

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