Build a new customer database through web crawling.

I will introduce a method to easily and quickly build a new customer database through web crawling. This method is useful in the early stages of a business or when switching from competitors.

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Build a new customer database through web crawling.

Hello, this is Hashscraper.

Today, I want to tell you about the most challenging part for business owners! It's the optimal way to build a new customer database.

We know this well from experience. Building a list of potential and expected customers. It's subtly! Incredibly! Annoying and difficult.

You can't collect customer lists like big companies by burning a ton of advertising money, and it's frustrating to only market to incoming customers.

So, I'll tell you how to easily collect a customer database with minimal cost :)

How to Collect Customer DB Easily and Quickly: Web Scraping

There are situations where DB marketing is effective.

1. When you need to secure early new customers for a new product launch or to test marketability

2. When you want to convert competitors' customers into your own to increase Market Share

3. For products/services designed for a specific target customer group

  1. For high-value products with high customer engagement or products with the potential for repeat purchases even at a low price point.

  2. For businesses with a high potential for cross-selling related products/services

  3. For products/services where customer information continues to accumulate during the sales process

The method I'm going to tell you about today is suitable for the first to third situations mentioned above.

A good method when you need real-time customer DB if your business lacks initial customer DB or to convert competitor customers.

That method is 'web scraping'.

It involves collecting customer information from online channels where target customers are likely to gather.

Let me give you an example

There are industries that aim to increase Market Share faster than competitors by quickly marketing with real-time customer DB.

This includes various equipment rental companies such as printer, water purifier, air purifier, as well as air conditioning/heating installation companies, tax/accounting/law firms, and more.

For these customers, the most important thing is to 'find new companies faster than anyone else and market to them'.

Where do you usually find new company information?

Depending on the customer industry, the channels vary, but in the Korean market, there's no channel as good as 'Naver,' which 72.8% of Koreans use.

Registering a company on Naver is usually the first thing to do when establishing a company (Naver is the best, after all)

notion image

Check companies registered on Naver on the map

When you register a company on Naver Smart Place, it will appear on Naver Maps as shown above.

We find and collect newly registered companies on Naver Maps quickly.

Hundreds of new companies are displayed on Naver Maps every day.

Based on several indicators that suggest they are new companies, we classify them as new companies and deliver this information to customers in real-time.

There is a lot of duplicate data and many cases where they are not new companies, but don't worry, we will take care of refining them.

The video below shows the real-time process of finding and collecting new companies.

Depending on the number of servers, you can easily collect up to 200 pages per second.

They are working hard.

Web scraping bot capable of collecting up to 200 pages per second simultaneously

I used the industry that needs real-time customer data as an example to explain, but web scraping is very convenient for basic customer DB construction.

We recently collected 'nationwide real estate company information' for a company providing real estate information,

and we delivered 'new startup company information' needed for building a startup platform in just 2 days.

The collected customer DB is provided in the desired format.

We can provide it in formats such as Excel, CSV, HTML, JSON, or through API calls.

notion image

Customer DB organized in Excel

It can adapt to various web structures. It can collect data from YouTube, SNS, and even information within community sites that require login.

Foreign websites are not a problem either. A smart scraping bot will translate and collect the data for you.

You can collect all forms of data available on the web, so if you can find where the customers are, you can quickly create a customer database.

So far, I have introduced 'web scraping' as the optimal way to build a customer DB.

A customer database is the beginning of every business.

But instead of spending a lot of time building a customer DB, wouldn't it be more efficient to think about 'how to sell to customers'?

Your time is precious.

Hashscraper will help you make sure your time with tremendous potential is not wasted :D

Also, read this article together:

Automate Data Collection Now

Start in 5 minutes without coding · Experience crawling 5,000+ websites

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