Why do scraping?

Have you heard of web scraping and are wondering what it's used for? It's a simple technique for automatically extracting and collecting data online.

In this article, we invite you to take a look together at Why do web scraping?. From competitive intelligence to sales prospecting, there are many uses. We'll tell you everything!

4 reasons to do scraping

Business, marketing, research... the web scraping has become indispensable in several sectors.

Here are four concrete reasons why web scraping, you can use the collected data to:

1. Competitive intelligence

Thanks to web scraping, companies can quickly gather useful information about their competitors.

👉 With the data, you will be able to examine business strategies of your competitors and adjust your own marketing plans accordingly.

In concrete terms, data collected on the web allows, for example:

• Analyze competitors' prices,
• Monitor their inventory,
• Spot new items on sale...

This will enable you to anticipate the next moves of your competitors in the market!

2. Lead generation

Web scraping allows you to’extract contact data on the web: emails, phone numbers, etc.

👉 This information is very useful for lead generation Thanks to web scraping, you can fill your contact list with people who may be interested in your products or services.

👉 You can then convert them into customers with a good sales prospecting strategy.

3. Market and sentiment analysis

Web scraping is very useful for improving understand the market and a brand's reputation.

👉 Thanks to web scraping, you can quickly collect useful data such as:

• Customer reviews,
• Social media trends,
• Blog comments...

4. Academic research

The internet and websites are a treasure trove of valuable data for scientific and social studies. 

👉 With web scraping, you can save time and retrieve all this data in just a few clicks!

👉 These data collected on the web can then be used for:

• Analyze trends,
• Observing behaviors...

You can also use the data to compare large sets of information and draw relevant conclusions in the context of your academic research.

What are the techniques and tools used in web scraping?

Now you know Why do web scraping? But how does it work exactly?

👉 Web scraping works as follows:

1. Sends an HTTP request to the URL of the web pages you are interested in.
2. Analysis of the HTML code for each page
3. Extraction of targeted data from websites and pages
4. Data storage (in CSV, JSON files, etc.)

👉 Next, to perform web scraping, you have several methods to choose from:

Programming languages

Programming languages allow you to create your own scraper. With your custom scraper, you can web scraping on any website or web page!

Among the most popular programming languages are Python and its libraries (Beautiful Soup, Scrapy). With Python, you write your own script that sends HTTP requests, analyzes HTML, etc.

We explain everything in our comprehensive guide to Web scraping with Python.

Use web scraping tools

Web scraping tools are turnkey solutions that allow you to scrape with just a few clicks. No need for advanced technical skills, you can web scraping without coding !

Platforms such as Bright Data Where Octoparse offer simple and intuitive interfaces to automate data collection. You will save valuable time and avoid manual errors.

Thanks to web scraping tools, you will then be able to focus 100% on analyzing the data and information retrieved from websites.

Is web scraping legal?

The legality of web scraping is a tricky question, because it all depends on the data you collect:

✅ The scraping public data is generally permitted. However, be sure to check the terms and conditions of use for websites, as some prohibit the collection of information on their pages!

As you can see, web scraping is a valuable tool for:

• 🔎 Monitor your competitors (prices, products, etc.),
• 🤝 Generate leads and find new customers
• 🌍 Analyze market trends or
• 🎓 Collecting data for studies

What about you? How could web scraping be useful to you? If you know of any other concrete use cases for web scraping, feel free to tell us about it in the comments!