Step-by-step Web Scraping Process

Web scraping is about extracting data from websites by parsing its HTML. On some sites, data is available easily to download in CSV or JSON format, but in some cases that’s not possible for that, we need web scraping.

How Does Web Scraping works

How Is Web Scraping Done?

We can do web scraping with Python.


Scrapy is a fast high-level web crawling and web scraping framework used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. It is developed & maintained by Scrapinghub and many other contributors.

Scrapy is best out of the two because in it we have to focus mostly on parsing the webpage HTML structure and not on sending requests and getting HTML content from the response, in Scrapy that part is done by Scrapy we have to only mention the website URL.

A Scrapy project can also be hosted on Scrapinghub, we can set a schedule for when to run a scraper.

Beautiful Soup

Beautiful Soup is a Python library for pulling data out of HTML and XML files. It works with your favourite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work.

To scrape a website with Beautiful Soup we also need to use requests library to send requests to the website and get the response and then get HTML content from that response and pass it to Beautiful Soup object for parsing.


Selenium Python bindings provide a simple API to write functional/acceptance tests using Selenium WebDriver. Through Selenium Python API you can access all functionalities of Selenium WebDriver in an intuitive way.

Selenium is used to scrape websites which load content dynamically like Facebook, Twitter, etc. or if we have to perform a click or scroll page action to login or signup to get to the page that has to be scrapped.

Selenium can be used with Scrapy and Beautiful Soup after the site has loaded the dynamically generated content we can get access to the HTML of that site through selenium and pass it to Scrapy or beautiful soup and perform the same operations.

Step-By-Step Data Scraping Example

For this example, we will be scraping Yelp for restaurant reviews in San Francisco, California with Scrapy.

Step 1 => Since we are only fetching restaurant reviews in San Francisco, scraping URL will redirect us to the page below.

Step 2 => We will now create a Scrapy project with the command below

Scrapy startproject restaurant_reviews
Scrapy project structure


Check Out What It Takes To Build A Successful App Here

Step 3 => Now we will create 2 items(Restaurant and Review) in to store and output the extracted data in a structured format.

Step 4 => Now we will create a custom pipeline, in Scrapy to output data in 2 separate CSV files(Restaurants.csv & Reviews.csv). After creating the custom pipeline we will add it in ITEM_PIPELINES of Scrapy file.

Connecting Emerging And Established designers With Manufacturers Using Data Scraping

Step 5 => Now we will inspect the Yelp page we are going to scrape and find the and will find the URL for each restaurant’s review page from where we will fetch the reviews. In the below image, we can see that all the search results are in <li> tags with the same CSS classes. In the same manner, we will inspect the review pages of some restaurants to understand their structure.

Step 6 => Now we will create a scraper to fetch the information.


1. Restaurants.csv
Here we can see all the restaurants fetched.

2. Reviews.csv
Here we can see the reviews with their restaurant references.

Why Mindbowser For Web Scraping?

When you appoint data scraping experts from Mindbowser, we dedicatedly provide end-to-end support to accomplish your organizational objectives quickly.

Mindbowser has been delivering high-quality web scraping services to all size businesses across the world for more than 10 years. At Mindbowser, you will receive comprehensive support from our web data scraping experts, who have immense knowledge in the latest website scraping tools, technologies, and methodologies.


The above example shows us how with the help of some tools, we can extract information from a website for a number of purposes. It only shows a basic use case of Scrapy, it can do a lot more.

We can do a lot of things with the output of the above example like:

  • Topic Modelling: It can help us get in-depth information about the topics the review is about.
  • Sentiment Analysis: It can help us get sentiments of each review for more in-depth analysis.

We can also extract reviews from other review sites.

Partner With Us To Empower Your Business With Fast And Accurate Web Scraping


Full Stack Developer

Adit is a full stack developer with around 3 years of experience. He is an expert in web scrapping and natural language processing. He loves to solve technical issues and learn new technologies by helping others.

The founder's survey report on "What Matters For Startup" is released - Get your copy and learn the trends of successful companies :)

Download Free eBook Now!

Get in touch for a detailed discussion.

Hear From Our 100+ Customers

Mindbowser helped us build an awesome iOS app to bring balance to people’s lives.


We had very close go live timeline and MindBowser team got us live a month before.

Shaz Khan
CEO, BuyNow WorldWide

They were a very responsive team! Extremely easy to communicate and work with!

Kristen M.
Founder & CEO, TotTech

We’ve had very little-to-no hiccups at all—it’s been a really pleasurable experience.

Chacko Thomas
Co-Founder, TEAM8s

Mindbowser is one of the reasons that our app is successful. These guys have been a great team.

Dave Dubier
Founder & CEO, MangoMirror

"Mindbowser was very helpful with explaining the development process and started quickly on the project."

Hieu Le
Executive Director of Product Development, Innovation Lab

"The greatest benefit we got from Mindbowser is the expertise. Their team has developed apps in all different industries with all types of social proofs."

Alex Gobel
Co-Founder, Vesica

Mindbowser is professional, efficient and thorough. 

MacKenzie R
Consultant at XPRIZE

Very committed, they create beautiful apps and are very benevolent. They have brilliant Ideas.

Laurie Mastrogiani
Founder, S.T.A.R.S of Wellness

MindBowser was great; they listened to us a lot and helped us hone in on the actual idea of the app.” “They had put together fantastic wireframes for us.

Bennet Gillogly
Co-Founder, Flat Earth

"They're very tech-savvy, yet humble."

Uma Nidmarty
CEO, GS Advisorate, Inc.

"Ayush was responsive and paired me with the best team member possible, to complete my complex vision and project. Could not be happier"

Katie Taylor
Founder, Child Life On Call

“As a founder of a budding start up, it has been a great experience working with Mindbower Inc under Ayush's leadership for our online digital platform design and development activity."

Radhika Kotwal
Founder of Courtyardly

The team from Mindbowser stayed on task, asked the right questions, and completed the required tasks in a timely fashion! Strong work team!

Michael Wright
Chief Executive Officer, SDOH2Health LLC

They are focused, patient and; they are innovative. Please give them a shot if you are looking for someone to partner with, you can go along with Mindbowser.

David Cain
CEO, thirty2give