Are you looking for a way to make some extra money on the side? If you’re even a little bit tech savvy, web scraping may be the perfect side hustle for you! Web scraping is a form of data extraction that involves collecting data from the web and putting it into a form that is useful for further analysis.

“The biggest value of web scraping lies in its ability to automate data gathering, which can save you time and money.”
— John Mueller, Webmaster Trends Analyst at Google

Web scraping can be a lot of fun, and it’s also lucrative. With the right tools and a bit of knowledge, you can scrape data from virtually any website you like! In this article, we’ll take a look at the basics of web scraping, and how to use it to make money.

This tutorial will show you how to begin making money with web scraping. We’ll discuss the basics of web scraping, the automation tools available, and the best ways to use web scraping to earn money.

What is Web Scraping?

Web scraping is the process of collecting data from websites. It’s used to gather information such as product prices, user reviews, website content, and more. Web scraping can be done manually, but in most cases it’s done using automated software, like web crawlers.

Web crawlers are programs that visit webpages, read the content, and extract the data. The web crawler stores the collected data in a database or file for later use. Web scraping is used for a variety of purposes, including market research, price comparison, and content monitoring.

How to Use Web Scraping Tools

Using web scraping tools is relatively easy once you understand the basics. Here’s a step-by-step guide on how to use web scraping tools to get the most out of your web APIs:

Step 1: Choose a web scraping tool

The first step is to choose a web scraping tool that best fits your needs. There are a number of open source tools available, and each has its own strengths and weaknesses. The most popular tools include:

  • Scrapy: An open-source web scraping framework written in Python.
  • Apify: An automation platform designed for web scraping and data processing.
  • Beautiful Soup: A Python library for extracting data from HTML and XML.
  • Selenium: A tool for automating web browsers.
  • ParseHub: An easy-to-use web scraping tool

Step 2: Set up the tool

Once you’ve chosen a web scraping tool, you need to install it and configure it to work with your web APIs. You may need to create an API key or enter a URL to get started.

Step 3: Select the data you want to scrape

Once the web scraping tool is set up, you need to select the data you want to scrape. You may need to set up filters and rules to ensure you only scrape the data you need.

Step 4: Execute the scrape

Once you’ve selected the data you want to scrape, you need to initiate the scrape. Depending on the tool, you may need to enter a command or click a button to start the scrape.

Step 5: Monitor the scrape 

Once the scrape is running, you need to monitor it to make sure it’s working correctly. You may need to tweak the settings or restart the scrape if it gets stuck.

Step 6: Analyze the data

Once the scrape is complete, you can analyze the data to get more insights into your website and your customers. You can use data visualization tools to create charts and graphs to make the data easier to understand.

an image of python code editor
Photo by Clément Hélardot on Unsplash

How to Make Money with Web Scraping

There are a variety of ways to make money with web scraping. Here are a few ideas:


Freelancing is a great way to make money with web scraping. You can offer web scraping services to clients, such as data extraction, web content monitoring, and website analysis. You can find freelance jobs related to web scraping on platforms such as Upwork and Freelancer.


You can also make money by consulting for businesses on web scraping projects. For example, you could offer advice on the best web scraping tools and techniques, or help them set up web scraping processes. You could also create custom web scraping solutions for clients.

Data Analysis

You can use web scraping to collect data from websites and use it to analyze trends. For example, you could analyze data from online marketplaces to determine the most profitable products. You could also use web scraping to compare prices and track competitor prices.


You can use web scraping to collect data from websites and use it for research. For example, you could use web scraping to collect information about the job market or real estate prices. You could also use web scraping to collect data for surveys or market research.

Selling Data

You can make money by selling data that you’ve collected through web scraping. You can collect data from different sources and then sell it to companies or individuals who need it. This is a great way to make money with web scraping, as you can collect data from a variety of sources and sell it for a profit.


Web scraping can be a great way to make money on the side, and it’s a lot of fun too! With the right tools and a bit of knowledge, you can scrape data from virtually any website you like. Whether you want to create your own products or services, or just make a quick buck selling data to interested parties, web scraping can be a great way to make some extra money.


Is web scraping legal?

The legality of web scraping varies from country to country. Generally speaking, it is legal as long as you’re not violating any copyright laws or infringing on any other person’s rights. Be sure to check your local laws before getting started.

Can I make money with web scraping?

Yes, it is possible to make money with web scraping. As we’ve seen in the case study above, there are many different ways to use the data you collect to make a profit.

What tools do I need to get started with web scraping?

The tools you need will depend on the type of data you’re collecting, and the website you’re collecting it from. As a general rule, you’ll need some type of web scraping program, such as a browser extension, an API, or a programming language like Python. It’s also a good idea to have a basic understanding of HTML and DOM traversal.