What is web scraping?

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The web is overflowing with information. But you need to know how to collect it. In this article, we show you how the pros automate online data collection using web scraping.

Web scraping: What is it?

In a nutshell web scraping is to automate the data collection on websites.

Image representing web scraping.
Web scraping image. Cristina for Alucare.fr

It all starts with an automated program called a "web scraping bot" or "web scraper bot.

The bot sends an HTTP request to a web page (just as if you were opening it in your browser), then analyzes the structure of the document (HTML or XML) for extract useful data.

The process generally involves three key stages:

  1. Page retrieval The program (bot) accesses the target URL, just like a regular Internet user.
  2. Page analysis with the help of aparser"The program reads the structure of the document to locate interesting information.
  3. Data extraction It retrieves exactly what it needs (prices, titles, reviews, addresses, etc.).

Why web scraping?

It is important to know that web scraping is more than just a technical gadget. It represents a real strategic tool for a wide variety of sectors. Here are a few concrete examples:

  • 📊 Competitive analysis

Track prices, new products or special offers without lifting a finger.

  • 🎯 Lead generation

Automatically retrieve targeted contacts to boost sales.

  • 📚 Academic or market research 

Gather tons of data for solid studies, without spending hours clicking around.

  • 📥 Content aggregation 

Extract data from several sources and centralize them (indexing), then present them clearly to aid decision-making (comparator): create indexes or comparators.

How do I web scrap?

Curious about how we get from idea to extraction? We'll explain it all in this section.

1. With dedicated web scraping tools

At present, there are many scraping tools to collect data. Here are some of the best:

  • Bright Data

Bright Data is one of the most popular platforms. It is powerful and completeperfect for large-scale projects. It offers advanced tools, proxies and APIs tailored to professional needs.

Bright Data, a complete tool for web scraping.
Bright Data, a complete tool for web scraping. Cristina for Alucare.fr
  • Octoparse

Octoparse is one of the most accessible tools for beginners. It is designed for those who want to scraper without coding. Its interface lets you click on the elements of a page to define what you want to extract. The result is a functional scraper in just a few minutes, without a single line of code.

  • Apify

Apify offers a marketplace of operational scripts and the creation of your own personalized scrapers. It's especially suited to technical profiles and complex cases. Ideal if you're looking for a more flexible or tailor-made solution.

And if you're just starting out or simply want to test without investing right away, you should know that most of these tools offer free trials or even freemium formulas.

Enough to get you started free web scraping with no pressure and no budget to plan from the outset.

2. With programming skills

If you have a basic understanding of code, the custom web scraping offers total freedom. For this, you can use programming languages.

The most widely used in this field is Pythonthanks to its simplicity and rich ecosystem of dedicated libraries.

Programming language for web scraping.
Programming language for web scraping. ©Christina for Alucare.fr

⚠️ A reminder A library, in this context, is a set of pre-coded, reusable functions that you can integrate into your own code.

Among the most popular libraries for web scraping with Pythonwe quote:

  • Scrapy With its powerful, modular design, it is ideal for large-scale, complex projects.
  • BeautifulSoup + Selenium a perfect combination for simpler projects. BeautifulSoup lets you analyze and extract data from HTML, while Selenium lets you interact with dynamic web pages (JavaScript).

⚠️ Attention Many modern sites don't load all their content at once. They use JavaScript or AJAX to display data progressively.

In this case, we recommendadopting a headless navigator or "headless browser". It can load content just as a real user would.

These methods are based on the web scraping in JavaScript and on the AJAX-based scraping.

Python and web scraping libraries.
Python and libraries for web scraping. ©Christina for Alucare.fr

Python is not the only option. You can also create PHP web scraping.

In this case, the dedicated libraries are Goutte or Guzzle. They allow you to send HTTP requests and easily analyze HTML pages.

3. With browser extensions

It's also possible to make web scraping from your browser with compatible extensions.

These tools can be installed directly in your browser (Google Chrome, Edge, Firefox, Opera). Once activated, they allow you to click on elements of a web page to select and extract associated data (titles, prices, images). 

There is no no need to code. Everything is done via a graphical interface. With just a few clicks, you can create an extraction, preview it in real time and export the results in common formats such as CSV, Excel or JSON.

4. With advanced web scraping methods

Web scraping is evolving rapidly, and new techniques are emerging. Among them, the web scraping with a LLM agent (Large Language Model).

Agent LLM and web scraping.
Agent LLM and web scraping. Cristina for Alucare.fr

These intelligent agents based on advanced language models are capable of :

  • analyze the structure of a website independently,
  • to understand the content,
  • extract relevant data.

All without the need for strict rules.

LLM agents can be used for web scraping thanks to a number of tools and platforms that combine AI and automation.

FAQs

How to web scrap with Python?

Here's how to scrape a website with Python in a few simple steps:

  1. Retrieve the web page Use the "requests" library to retrieve all the page's HTML code.
  2. Page analysis Use a parser once you've retrieved the HTML to understand the structure of the page.
  3. Extracting data HTML selectors can be used to extract the desired data.
Web scraping with Python.
Web scraping with Python. Cristina for Alucare.fr

How can I scrap without being blocked?

Keep in mind that most sites have protection mechanisms to avoid abuse. To avoid being blocked when you scrape a website, it's essential to adopt good practices:

  • Using an API for web scraping 
  • Limit query rates
  • Using proxies
  • Defining the right User-Agent
  • Respect the robots.txt file

For large-scale projects, consider using the services of web scraping with AWS.

This kind of service lets you deploy and manage your scrapers in a scalable way. For example, you can use AWS Lambda Where EC2.

What's the best tool for web scraping?

Bright Data is today considered the best tool for scraping websites. It offers a wide range of services for businesses and large-scale projects.

These include a network of residential proxies, an advanced control center and automated captcha management.

Bright Data: web data collection and optimization services.
Bright Data: web data collection and optimization services. Cristina for Alucare.fr

Is web scraping difficult to learn?

It all depends on the method used.

  • If you choose web scraping tools such as Bright Data or Octoparse, learning is relatively straightforward. These platforms are designed to be accessible to beginners.
  • If you want to master web scraping with the programmingThis requires technical knowledge and a certain learning curve.

What's the difference between web scraping and APIs?

  • the web scraping consists in extracting data from the HTML code of a web page. It simulates human navigation to read and collect information visible on a site.
  • A API (Application Programming Interface) makes direct access to structured site data much easier and more reliable, without having to analyze the HTML code.
Web scraping VS API.
Web scraping VS API. Cristina for Alucare.fr

the web scraping is mainly used when the site doesn't offer a public or free API.

Is web scraping legal?

The legality of web scraping depends on the context and type of data targeted.

  1. Key regulations

In Europe, the RGPD (General Data Protection Regulation) or GDPR strictly frames the use of personal data. It's illegal to scrape personal data without consent.

  1. The open data principle

Public data can generally be scraped: schedules, prices, etc. Private or protected data is subject to restrictions.

  1. Legality requirements

Scraping is legal if the data is public and not abused: harassment, violation of intellectual property rights, etc.

✅ In short, the web scraping is used to extract data when no API is available. It can be based on different methods. Note that scraping is legal if the data is public and used without abuse.

If you want to scrape efficiently, Bright Data remains the most reliable solution. 👌

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