What is web scraping? Web scraping (or data scraping) is a technique used to. Rvest helps you scrape (or harvest) data from web pages. It is designed to work with magrittr to make it easy to express common web scraping tasks, inspired by libraries like beautiful soup and RoboBrowser. If you’re scraping multiple pages, I highly recommend using rvest in concert with polite.

Have you ever thought of all the possibilities web scraping provides and how many benefits it can unlock for your business? Surely, you have!

But at the same time there were a lot of thoughts about the hurdles appearing – possible blocking, the system being sophisticated, difficulties in getting JS/AJAX data, scaling up challenges, maintaining, requiring above-the-average skill. And even if you don’t give up and keep working, your efforts can be completely derailed by the structure changes in the website. Don’t worry about that! There’s a simple Beginners Guide to web scraping. We did our best to put it together so even if you don’t have a technical background or lack relevant experience, you can still use it as a handbook. So you can get all the advantages web scraping provides and implement the juicy features into your business.

Let’s get started!

What is web scraping?

In short, web scraping allows you to extract data from the websites, so it can be saved in a file on your machine, so it can be accessed on a spreadsheet later on.

Usually you can only view the downloaded web page but not extract data. Yes, it is possible to copy some parts of it manually but this way is too time-consuming and not scalable. Web scraping extracts reliable data from the picked pages, so the process becomes completely automated. The received data can be used for business intelligence later on.

In other words, one can work with any kind of data, as far web scraping works perfectly fine with vast quantities of data, as well as different data types.

Images, text, emails, even phone numbers – all will be extracted up to your business’ needs. For some projects specific data can be needed, for example, financial data, real estate data, reviews, price or competitor data whatever. Using web scraping tools it is fast and easy to extract it as well. But the best thing is that at the end you get the extracted data in a format of your choice. It can be plain text, JSON or CSV.

How does web scraping work?

Surely, there are lots of ways to extract data, but here there’s the easiest and the most reliable one. Here’s how it works.

1. Request-response

The first simple step in any web scraping program (also called a “scraper”) is to request the target website for the contents of a specific URL.

In return, the scraper gets the requested information in HTML format. Remember, HTML is the file type used to display all the textual information on a webpage.

2. Parse and extract

HTML is a markup language, having a simple and clear structure. Parsing applies to any computer language, taking the code as bunches of text. It produces a structure in memory, which the computer can understand and work with.

Sounds too difficult? Wait a second. To make it simple we can say that HTML parsing takes HTML code, expects it and extracts the relevant information – title, paragraphs, headings. Links and formatting like bold text.

So all you need is a regular expression, defining the regular language, so a regular expression engine can generate a parser for this specific language. Thus pattern matching becomes possible, as well as text extraction.

3. Download data

The last step - downloading and saving the data in the format of your choice (CSV, JSON or in a database). After it becomes accessible, it can be retrieved, implemented in other programs.

In other words, scrapping allows you not just to extract data, but to store it into a central local database or spreadsheet and use it later when you need.

Advanced techniques for web scraping using python

Today computer vision technologies, as well as machine learning is used to distinguish and scrape data from the images, similar to the way a human being could do.

All it works quite straightforward. A machine learning system has its own classifications to which it assigns a so-called confidence score. It is a measure of the statistical likelihood. So if the classification is considered to be correct, it means it is close to the patterns discerned in the training data

In case the confidence score is too low, the system initiates a new search query to pick the bunch of text which will most likely contain the previously requested data.

Guide

After the system makes an attempt to scrap the relevant data from the text considered to be new and reconciles the received result with the data in the initial scraping. In case the confidence score is still too low it processes further on, working on the next pulled text.

What is web scraping used for?

There are numerous ways how web scraping python can be used, basically it can be implemented in every known domain. But let’s have a closer look at some areas where web scraping is considered to be the most efficient.

Price monitoring

Competitive pricing is the main strategy for e-commerce businesses. The only way to succeed here is to keep a constant track of the competitors and their pricing strategy. Parsed data can help to define your own pricing strategy. It is much faster than manual comparing and analysis. When it comes to price monitoring web scraping can be surprisingly efficient.

Lead generation

Marketing is essential for any business. For marketing strategy to be successful one needs not just to have the contact details of the parties involved but to reach them. It is the essence of lead generation. And web scraping can improve the process, making it more efficient.

Leads are the very first thing needed for marketing campaign acceleration.

To reach the target audience you most likely need tons of data such as phone numbers, emails etc. And of course to collect it manually over the thousands of websites all over the web is impossible.

Web scraping is here to help! It extracts the data. The process is not just accurate but quick and takes just a fraction of time.

The received data can be easily integrated into your sales tools as far you can pick a format you are comfortable with.

Competitive analysis

Competition has always been the flesh and blood of any business, but today it is critically important to know the competitors well. It allows us to understand their strong and weak points, strategies and evaluate risks in a more efficient way. Of course it is possible only if you possess a lot of relevant data. And web scraping helps here as well.

Any strategy starts with analysis. But how to work with the data spread everywhere? Sometimes it is even impossible to access it manually.

If it is difficult to do manually, use web scraping. So you get the required data and can start working over almost immediately.

A good point here – the faster your scraping tool, the better competitive analysis will be.

Fetching images and product description

When the customer enters any e-commerce website the first thing he sees is the visual content, e.g. pictures. Tons and tons of them. But how to create all this amount of product descriptions and pictures overnight? With web scraping of course!

So, when you come up to the idea of launching a brand new e-commerce website you face a content issue – all these pictures, descriptions and so on.

Web scraping guide examples

Old good way of hiring somebody just to copy and paste or write the content from scratch might work but will take forever. Use web scraping instead and see the result.

Guide To Web Scraping

In other words, web scraping makes your life as an e-commerce website owner much easier, right?

Is data scraping software legal?

Web scraping software is working with data – it is, technically, a process of data extraction. But what if it is protected by law or copyrighted? It is quite natural that one of the first appearing questions is ‘Is it legal?’. The issue is tricky, as far here’s no certain opinion on this point even between the layers. Here are a few points to consider:

  • Public data can be scrapped without any limits and there will be no restrictions. But if you step into the private data, it might land you in trouble.
  • Abusive manner or using personal data for commercial purposes is the best way to end up in violation of CFAA, so avoid it.
  • Scrapping copyrighted data is illegal and, well, unethical.
  • To stay on the safe side, follow Robots.txt requirements, as well as Terms of Service (ToS).
  • Using API for scraping is fine as well.
  • Consider the crawl rate as 1 in 10-15 seconds. Otherwise you can be blocked.
  • Don’t hit servers too often and do not process web scraping in an aggressive manner if you want to be safe.

Challenges in web scraping

Some aspects of web scraping are challenging, though it is relatively simple in general. See below a short list of major challenges you can face:

Guide

1. Frequent structure changes

After the scrapper is set up the big game only begins. In other words, setting up the tool is the first step so you can face some unexpected challenges:

All websites keep updating their UI and features. It means that the website structure is changing all the time. As far the crawler keeps in mind the existing structure, any change might upset your plans. The issue will be solved as soon as you change the crawler accordingly.

So to get complete and relevant data you should keep changing your scrapper again and again as soon as structure changes appear.

2. HoneyPot traps

Keep in mind that all the websites with sensitive data take precautions to protect the data in this or that way and they are called HoneyPots. It means that all your web scraping efforts can simply be thwarted and you will be surfing the web in attempts to figure out what’s wrong this time.

  • HoneyPots are the links, accessible for crawlers, but developed to detect crawlers and prevent them from extracting data.
  • They are in most cases the links with CSS style set to display:none. Another way to hide them is to remove them from the visible area or make them the color of background.
  • When your crawler gets trapped, the IP becomes flagged or even blocked.
  • Deep directory tree is another way to detect a crawler.
  • So the number of retrieved pages or limit the traversal depth has to be limited.

3. Anti-scraping technologies

Anti-scrapping technologies evolve as well as web scraping does as far as there's a lot of data that should not be shared, and it is fine. But if you do not keep this in mind you can end up blocked. See below a short list of the most essential points you should know:

Web Scraping Guidelines

  • The bigger the website is, the better it protects the data and defines crawlers. For example, LinkedIn, Stubhub and Crunchbase use powerful anti-scraping technologies.
  • In case of such websites, bot access is prevented by using dynamic coding algorithms and IP blocking mechanisms implementation.
  • It is clear that it is a huge challenge – to avoid blocking, so the solution, working against all the odds, turns out to become a time consuming and pretty expensive project.

4. Data quality

To get the data is just one of the points to achieve. For efficient work the data should be clean and accurate. In other words, if the data is incomplete or there are tons of mistakes, it is of no use. From a business perspective data quality is the main criteria, as far in the end of the day you need data ready to work with.

How can I start web scraping?

We are pretty sure – the question spinning round in your head is something like “How can I start web scraping and enhance my marketing strategy?”

Coding your own

  • Prefer DIY-approach? Then go on and code your own scraper.
  • Open-source products are an option as well.
  • A host is another essential chain in the link. It enables the scraper to run round the clock.
  • Robust server infrastructure is a must. However, you will need some kind of storage for the data.
  • One of the greatest things in DIY-approach and coding your own scraper is the fact that you are in absolute control of every single bit of functionality.
  • Weak point here is an immense amount of needed resources.
  • You should not forget about monitoring and improving your system from time to time, and it also requires resources.
  • Coding your own scraper might be a good option for a small, short-term project.

Web scraping tools & web scraping service

Another way to reach the same result is just to use existing tools for scraping.

  • Invest a bit and try existing tools to find the one, meeting your requirements best.
  • You can get a lot of benefits the power of web scraping in case you find a reliable, scalable and affordable tool among the ones available in the market
  • There are free tools or the ones with a substantial trial period. They are worth giving a try if you need to extract a lot of data.
  • Try to work with ProWebScraper for the quick start. It's free, intuitive and allows python scrape website with the first 1000 pages for free.

Custom solution

There’s another way, something in between the previous two.

It is simple – get the team of developers, so they will code a scraping tool specifically for your business’ needs.

So you get a unique tool without the stress caused by accrual DIY approach. And the total cost will be much lower than in case you decide to subscribe to some existing scrapers.

Freelance developers can match too and create a good scrapper upon request, why not.

A SaaS MVP based on web scraping, data analytics, and data visualization

To sum up

Web scraping is an extremely powerful tool for extracting data and getting additional advantages over the competitors. The earlier you start exploring, the better for your business.

There are different ways to start exploring the world of web scrapers and you can start with free ones shifting to unique tools, developed in accordance with your needs and requirements.

March 15, 2021

web scraping

It is no lie that data is power in many ways. For different reasons and applications, different information available online can be used for gaining an advantage in various spheres of life, especially in business.

The most primitive and simple way of gathering the information is by doing it manually - copy and pasting everything by hand. This works great if the data which needs to be gathered is small in quantity. However, when it comes to collecting data at scale - web scraping is the way to go. For people that have never dealt with web scraping, it might take a minute to get acquainted and understand different ways and methods used; however, fear nothing - this article will explain and get you acquainted with the process of retrieving web data by web scraping!

In this blog, we are going to answer these questions:

  1. What is web scraping?
  2. How does web scraping work?
  3. Is web scraping legal?
  4. What are the different kinds of web scrapers?
  5. Where is web scraping applied?
  6. Web Scraper.

Let’s begin!

What is web scraping?

Web scraping, also known as web harvesting or web data extraction is a process of gathering information from websites. It automates the tedious manual work of copying-pasting the information you are after by hand. It takes only one scraper to gather texts, prices, images, product links in one export file while the manual process can take ages.

The most primitive goal of web scraping is to make the data collection process efficient and as short as possible. Many businesses are fueled by data; therefore, data collection manually by hand is an unbelievable process; therefore, web scraping makes collecting leads, customer reviews, competitors' prices, and such, fast and simple.

How does web scraping work?

Each website is built upon a code that creates a structure in which the information is displayed on the website. Now, Web data extraction basically involves 2 processes - fetching and extracting. Fetching is simply the act of downloading the page - its structure, code, and data. Once the page is fetched - the process of extracting implies that only the parts that are relevant and necessary for us are taken from the whole fetched page.

Might sound complicated and hard to grasp; however, many software applications and tools have been developed that have written code that performs the fetching and extraction automatically with the user having to only designate a scraper of which information exactly is needed from the particular website.

Is web scraping legal?

A very popular question among people is whether web data extraction is legal since it is copying data and pasting it somewhere else.

The answer is yes and no. More precisely - there is no specific law in place that would forbid web scraping; therefore, it should be no problem; however, it is not quite that simple, because websites have Terms & Conditions (T&C) that regulate the rules of the usage of the website. Many specify in their T&C that the specific website can not be scraped or that it is not forbidden to scrape; however, the gathered data can not be used for commercial purposes. If T&C rules are broken - the act of web scraping is considered illegal.

All that you have to do is just CTRL + F search for web scraping in the T&C of the website you are looking to scrape and the information can be found in a minute or so.

What are the different kinds of web scrapers?

There are different types of web scrapers. Mostly depending on the amount of data you are looking to retrieve, or additional features for web scraping process - the types can vary.

There are three kinds of web data extraction types:

Browser extensions - in recent years, web scraping extensions have grown in popularity. It’s no surprise since it can be the most convenient type of scraping since it can be done on the spot, through the browser. Web scraping with simply an extension is very efficient and useful for one-time projects or extraction of smaller quantities.

Downloadable software - probably the least popular type of web scraping tools are the ones that run on downloadable software. Don’t oversee this type though - they are very capable and powerful; however, since browser extension and cloud-based scraping tools have taken the market - downloading software for a process that can be run through your browser seems like a hassle nowadays.

Cloud-based software - the way to go if you are looking for larger amounts of data to be extracted, automation, APIs, and various scraping jobs run at the same time. Many cloud-based web scraping software providers work as B2B businesses, however, for most of them, a subscription plan is available to anyone.

Self-built - last but not least, basically anyone can build their own web scrapers. It might sound cool; however, it does require advanced programming knowledge. Nonetheless - self-built scrapers require continuous maintenance, and as long as you are not a programming expert - the self-built scrapers can not offer full functionality and every feature that the other types of scrapers do.

Where is web scraping applied?

Nowadays data is a key component for accelerating or pursuing a business. Data is necessary for various business spheres. Starting from research and marketing to engineering and artificial intelligence.

With web scraping, it is possible to gather thousands of leads in a short period of time, price monitor your competitors in only a few clicks, and optimize your products in the most efficient way.

Read one of our previous blogs about how web scraping can fuel your business.

Web Scraper extension.

If you are new to web data extraction and maybe this blog got you interested in web scraping - try out our free browser extension on Chrome, Firefox, Microsoft.

Web Scraper Cloud.

If you are looking for ways to automate your web scraping processes, there are free 7-day trials available for each of our subscription plans.

And if there are any uncertainty or questions, feel free to visit our friendly forum or contact us through Twitter or Facebook.

Hope this blog got your engines ignited on web scraping.

Have fun scraping!


Web Scraping Guide


Web Scraping Guide Download


Web Scraping Guide For Beginners

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