Top 18 Web Scraping Applications & Use Cases (2023)

We have explained what a web crawler isandwhy web scraping is crucial for companies that rely on data-driven decision-making. Web scraping is important because regardless of industry, the web contains information that can provide actionable insights for businesses to gain an advantage over competitors.

In this article, we focus on web scraping use cases and applications from market research for strategy projects to scraping for training machine learning algorithms.

Data Analytics & Data Science

Machine learning training data collection

Machine learning algorithms require a large volume of data to improve the accuracy of outputs. However, collecting a large amount of accurate training data is a big pain. Web scraping can help data scientists acquire the required training dataset to train ML models. For example, GPT-3 which impressed the computer science community with its realistic text generation was built on textual content on the web.

To learn more about web crawler use cases in data science, feel free to read our in-depth guide to web scraping for machine learning.

Marketing & sales

Price intelligence data collection

For every price elastic product in the market, setting optimal prices is one of the most effective ways to improve revenues. However, competitor pricing needs to be known to determine the most optimal prices. Companies can also use these insights in setting dynamic prices.


Bright Data’s Data Collector is a web scraper that can be used to extract competitors’ pricing data and this is the most common web scraping use case mentioned by most companies in the space.

A web crawler can be programmed to make requests on various competitor websites’ product pages and then gather the price, shipping information, and availability data from the competitor website.

Another price intelligence use case is ensuring Minimum Advertised Price (MAP) compliance. Manufacturers can scrape retailers’ digital properties to ensure that retailers follow their pricing guidelines.

Fetching product data

Specifically, in e-commerce, businesses need to prepare thousands of product images, features, and descriptions that have already been written by different suppliers for the same product. Web scraping can automate the entire process and provide images and product descriptions faster than humans. Below is an example of extracted product data from an e-commerce company website.

For example, Amazon is one of the largest e-commerce companies that enables companies to analyze their competitors, generate leads, and monitor their customers. Data collection tools help companies to extract products’ images, reviews, features, and stock availability from Amazon product pages automatically.

To learn more about how you can leverage Amazon data for a competitive edge, feel free to read our in-depth guide on scraping Amazon data: what data is available for scraping, how you can extract data from Amazon web pages, use cases, and recommendations.

(Video) Practical Web Scraping using Python Selenium & Scrapy

Brand protection

Using web scraping brands can swiftly identify online content (e.g. counterfeit products) which can hurt your brand. Once this content are identified, brands can take legal action against those responsible:

  • Counterfeiting: Counterfeiters need to market their products and scrapers allow businesses to identify those products before actual users and protect users from buying fake products.
  • Copyright infringement is the use of copyrighted works without permission. Web scrapers can help identify whethercopyrighted intellectual property is used illegally.
  • Patent theftis the unlawful manufacturing or selling of licensed products.
  • Trademark infringementis the illegal use of a logotype, pattern, phrases, or any other elements that are associated with the brand.

Competition research

Lead generation

Lead generation efforts can help businesses reach additional customers. In this process, the marketer starts communicating with relevant leads by sending out messages. Web scraping helps reach out to leads by scraping contact details such as email, phone, and social media accounts.

Lead prioritization

In Account-Based Marketing (ABM) crawlers are used to scrape firmographic and technographic data. These data can be used to prioritize leads based on their likelihood to buy.

In addition, signals (e.g. promotions, new hires, new investments, M&A) that are likely to trigger purchasing can be scraped from news or company announcements. This can help companies further prioritize their marketing efforts.

Marketing communication verification

Companies invest billions in spreading their message and especially large brands need to be careful about how their marketing messages are delivered. For example, Youtube got in trouble in 2017 by displaying Fortune 500 links in hateful and offensive videos.

Monitoring consumer sentiment

Analyzing consumer feedback and reviews can help businesses understand what is missing in their products & services and identify how competitors differentiate themselves. Social media data is used by companies in many business use cases including sales and marketing purposes.

Companies extract consumer data from social media platforms such as Twitter, Facebook, and Instagram by using a data collection tool. To learn more about social media scraping, read our comprehensive guide on social media scraping: legality, how-to, and advantages.

However, there are dozens of software review aggregator websites that contain hundreds of reviews in every solution category. Web scraping tools and open-source frameworks can be used to extract all these reviews and generate insights to improve services and products.

For example, AIMultiple solution pages include a summary of insights from all online sources, helping businesses identify different products’ strengths and weaknesses.

SEO Audit & Keyword research

Search engines like Google consider numerous factors while ranking websites. However, search engines provide limited visibility into how they rank websites. This led to an industry of companies that offer insights on how companies can improve their online presence and rank higher on search engines.

Most SEO tools such as Moz and Ubersuggest crawl websites on-demand to analyze a website’s domain. SEO tools utilize web crawlers for SEO monitoring to

  • run SEO audits: Scrape their customers’ websites to identify technical SEO issues (e.g. slow load times, broken links) and recommend improvements
  • analyze inbound and outbound links,identifying new backlinks
  • scrape search engines to identify different companies’ web traffic and their competition in search engines. This scraping can also help generate new content ideas and content optimization opportunities supporting companies’ keyword research efforts.
  • scrape competitors to identify their successful strategies taking into account factors like the word count of the different pages etc.
  • scrape the rank of your website weekly/ annually in keywords you are competing in. This enables the SEO team to take immediate action if any unpredicted rank decrease happens.

Website testing

Webmasters may use web scraping tools to test the website’s front-end performance and functionality after maintenance. This enables them to make sure all parts of the web interface are functioning as expected. A series of tests can help identify new bugs. For example, tests can be run every time the tech team adds a new website feature or changes an element’s position.

(Video) Automating WebScraping Amazon Ecommerce Website Using AutoScrapper

Public Relations

Brand monitoring

Brand monitoring includes crawling various channels to identify who mentioned your company so that you can respond and act on these mentions to serve them better.This can involve news, complaints & praises on social media.


Data-driven portfolio management

Hedge funds rely on data to develop better investment strategies for their clients. According to Greenwich Associates, an average hedge fund spends roughly $900,000 per year on alternative data source. Web scraping is listed as the largest source of alternative data:

One web scraping example is extracting and aggregating news articles for predictive analysis. This data can be used to feed into their own machine learning algorithms to make data-driven decisions.


Building a product

The goal of Minimum Viable Products (MVPs) is to avoid lengthy and unnecessary work to develop a product with just enough features to be usable by early customers. However, MVPs may require a large scale of data to be useful to their users, and web scraping is the best way to acquire data quickly.

Market research

No research can be done without data. Whether it is academic research of a professor or commercial research on a specific market, web scraping can help researchers enhance their articles with insights uncovered by scraped data. This leads to better decisions such as entering a new market or a new partnership.

Support functions


Health of a company’s suppliers’ is important to a company’s success. Companies rely on software or services providers like Dunn & Bradstreet to understand supplier health. These companies use various approaches to collect company data and web data is another valuable data source for them.

HR: Fetching candidate data

There are various job portals such as Indeed and Times Jobs where candidates share their business experience or CVs. A web scraping tool could be utilized to scrape potential candidates’ data so that HR professionals can screen resumes and contact candidates that fit the job description well. However, as usual, companies need to ensure that they do not violate T&Cs of job portals and only use public information on candidates, not their non-public personal information (NPPI).

AI has significant use cases in HR, for example by automating CV screening tasks and frees up a significant amount of the HR team’s time. For example, candidates’ career progression after joining a new company can be correlated with their educational background and previous experience to train AI models on identifying the right candidates. For example, if those with engineering backgrounds and with a few years of marketing experience in a marketing agency, end up getting promoted fast in a marketing role in a certain industry, that could be a valuable information for predicting the success of similar candidates in similar roles. However, this approach has significant limitations, for example Amazon’s recruiting tool was identified to be biased since it relied on such historical data.

Explore web crawling use cases in recruiting in our in-depth article.


Website transition

For companies that operate on a legacy website and transfer their data to a new platform, it is important to ensure that all their relevant data is transfered to the new website. Companies operating legacy websites may not have access to all their website data in an easy to transfer format. Web scraping can extract all relevant information in legacy websites.

If you still have any questions about web scraping, feel free to read our in-depth whitepaper on the topic:

Get Web Scraping Whitepaper

(Video) UIPath- Use Cases |Data Scrapping | Web Scrapping

If you are looking for a web scraping vendor, feel free to check our sortable and regularly updated vendor lists or contact us:

Find the Right Vendors

Top 18 Web Scraping Applications & Use Cases (5)

Cem Dilmegani

Cem founded the high tech industry analyst AIMultiple in 2017. AIMultiple informs ~1M businesses (as per similarWeb) including 55% of Fortune 500 every month.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech companies that reached from 0 to 3M annual recurring revenue within 2 years.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

Top 18 Web Scraping Applications & Use Cases (6)

(Video) What is Web Scraping? Web scraping for Beginner - Introduction, Application, Best Practice Explain


Web Scraping

5 Common Web Scraping Applications in the Travel Industry

Web Scraping

The Ultimate Guide to Rotating Proxies vs. Static Proxies

Web Scraping

Leave a Reply

Comment *



    What are the applications of web scraping? ›

    Applications of web scraping tools
    • Monitoring e-commerce prices.
    • Finding opportunities for investment.
    • Analyzing social media web data.
    • Applying machine learning techniques.
    • Gathering web data automatically.
    • Researching new concepts in a field.
    • Extracting contact information.
    • Monitoring news sources.
    11 Mar 2022

    What is the best web scraping software? ›

    12 Best Web Scraping Tools Here's a list of the best web scraping tools:
    • ParseHub.
    • Diffbot.
    • Octoparse.
    • ScrapingBee.
    • Grepsr.
    • Scraper API.
    • Scrapy.

    What is an example of web scraping? ›

    Web scraping refers to the extraction of web data on to a format that is more useful for the user. For example, you might scrape product information from an ecommerce website onto an excel spreadsheet. Although web scraping can be done manually, in most cases, you might be better off using an automated tool.

    Do hackers use web scraping? ›

    Scraping is one of the methods malicious hackers use to collect intel on companies before they target them with more significant attacks. Here is a closer look at this undervalued threat. Web scraping can easily lead to more significant attacks.

    How much money can you make web scraping? ›

    A web scraper at the top of his career can earn up to $131,500 annually. If you are looking for a quick and easy way to scrape websites, try our web scrapers for free! We have a plethora of predefined web scrapers, all of which are easy to use and free to try.


    1. Europeana 2022 - Adapting and adopting an impact approach in digital cultural heritage
    2. Episode 110: Organizing Arts and Craft Supplies #organizing #artsupplies #craftsupplies
    (Fullerton's Professional Organizing)
    3. Web Scraping Using Python | GeeksforGeeks
    4. Web Scraping With Python 101
    5. How Prometheus Monitoring works | Prometheus Architecture explained
    (TechWorld with Nana)
    6. Scraping Spotify Play Counts via API to Calculate Artist Revenue
    (Stevesie Data)
    Top Articles
    Latest Posts
    Article information

    Author: Kelle Weber

    Last Updated: 25/05/2023

    Views: 5450

    Rating: 4.2 / 5 (73 voted)

    Reviews: 88% of readers found this page helpful

    Author information

    Name: Kelle Weber

    Birthday: 2000-08-05

    Address: 6796 Juan Square, Markfort, MN 58988

    Phone: +8215934114615

    Job: Hospitality Director

    Hobby: tabletop games, Foreign language learning, Leather crafting, Horseback riding, Swimming, Knapping, Handball

    Introduction: My name is Kelle Weber, I am a magnificent, enchanting, fair, joyous, light, determined, joyous person who loves writing and wants to share my knowledge and understanding with you.