In this Chapter, I’ll walk you through how to create a bot leveraging Easy2Digital free API resources to bulky and scalably scrape the specific web URLs using names. Typically, I will use brand names. By the end of this Chapter, you can master using the API, write the codes and learn how to open DB files on your local device.

Table of Contents: Brand Info Bot

• Free API Endpoint and Accessible Data
• Nest Looping Codes for scraping the data
• What’s sqlite3 and why
• Sqlite3 methods and codes to store scraped data
• Full Python Script of Brand Info Bot
• FAQ

What’s Easy2Digital Brand Info API and Why It Matters

API aims to help find more information about brands in order to increase communication accuracy, and sales and reduce fraud data. Its big data capability facilitates B2B marketers and entrepreneurs to have more accurate data intelligence to communicate and make decisions.

Brand web URLs are one of the most important touch points we are able to learn about the product and identify busine. ss opportunities. From a Python scraper point of view, it’s also the first place to grab communication data, such as emails, social profiles, products, marketing, etc. It’s not like searching URLs using brand keywords in Google engine manually. Brand Info Bot can help you instantly scrape those specific brand web URLs and visualize them in one hub like the screenshot attached below

Easy2Digital API Endpoint and Accessible Data

Its Free API endpoint allows 600 requests per min. Thus, you can set up a timer in the script that every 600 requests stop for 60 seconds. Basically, you can scrape unlimited data using Python.

As you can see from the picture, there are three accessible pieces of data, which are the brand name, domain URL, and logo URL.

Nest Looping Codes for scraping the data

In the response from Easy2Digital API, there might be more than one item from the same brand name. So for avoiding missing any information from the same brand name, we need a nested loop to grab all data from the same name.

What’s sqlite3 and why it matters

SQLite3 is a software library that provides a relational database management system. The lite in SQLite means lightweight in terms of setup, database administration, and required resources. It has the following noticeable features: self-contained, serverless, zero-configuration, and transactional.

Thus, it’s perfect to use Sqlite3 for any applications, websites,s or IoT devices with low or medium volume of traffic. For example, you can build an automatic workflow of the Amazon product price monitoring bot on wayscripts with sqlite3. If it gets fewer than 100K hits/day. It can perfectly work fine with SQLite. It emphasizes economy, efficiency, reliability, independence, and simplicity

SQLite is an embedded database and it is not intended to be used as a client/server DB.

So it is not directly comparable to client-server SQL database engines such as MySQL, Oracle, PostgreSQL, or SQL Server since SQLite is trying to solve a different problem.

Being said that, for the database learner, Sqlite3 is a light and easier data management system to start and use to build applications, such as bots, websites, etc. Although it’s not comparable to the client-side server, it’s convertible if your project needs it.

Also if you really want to, you can use SQLitening on the client-side server deployment. Thus, it’s not a standalone language only for on-disk, serverless, and local storage purposes.

Sqlite3 methods and codes to store scraped data

There are a few methods and tactics for storing the scraped Easy2Digital API data.

First thing first, you need to import sqlite3. The good news is you don’t need to install sqlite3 separately. It’s because, since Python 2.5, it has already included sqlite3.

Second, you need to create a DB file and a variable using the cursor class. The cursor class is an instance using which you can invoke methods that execute SQLite statements, and fetch data from the result sets of the queries.

Then, the step is to create a table and name the column and nature. We need to use the execute method.

execute('''CREATE TABLE weblinks(query_name TEXT, brand_name TEXT, web_URL TEXT)''')

• CREATE TABLE is the table creation argument
• Weblinks are the variable name you freely write and use to create a table
• TEXT means the column nature. If it is a list of numbers, please use INT

In the scraped data set, there is more than one piece of data supply. So we need a loop to insert the data into the sqlite3 DB file.

for i in range(len(df)):

cursor.execute('''INSERT INTO weblinks VALUES(?,?,?)''', df.iloc[i])

• INSERT INTO is to feed the scraped data to the weblinks table
• VALUES() method to match the column data you created earlier above. One question mark represents one column of data.
• Iloc[i] represents the rows in the index of the I, which is the iteration of variables from above

Last but not least, please remember to add commit() because it makes sure all of the scraped data can be stored in place. Otherwise, you will lose the data. Then, you can close the connection using close()

Once you store the data into a DB file, you can select Ridill to open the file and see if it’s well done.

Full Python Script of Brand Info Bot

If you are interested in the full scri. pt of Brand Info Bot for Scraping Brand Web Domains with Python, Clearbit API, and Sqlite3, please subscribe to our newsletter by adding the message “Chapter 37”. We would send you the script immediately to your mailbox.

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