Before and After Using Parser
Posted: Sun Jan 19, 2025 10:18 am
STEP 5. VIEW THE ELEMENT CODE
For Python web scraping, we recommend using Google Chrome, it is very convenient and easy to use. Let's learn how to view the web page code using Chrome. First, you need to right-click the page you want to check, then click View code and you will see this:
View Element Code
Then click Select an element on the page to egypt telegram database test and you will notice that as you move your cursor to each element on the page, the elements menu shows its code.
Example
For example, if we move the cursor to Test Sites , the element will show that Test Sites is in an h1 tag . In Python, if you want to view the code of site elements, you can call tags. A characteristic feature of tags is that they always have < as a prefix and are often purple.
How to choose a solution for website parsing: classification and a large overview of programs, services and frameworks
STEP 6. ACCESS TO TAGS
If we, for example, want to access the h1 element using Python, we can simply type:
# Access h1 tag
soup.h1
The result will be:
soup.h1
Out[11]: <h1>Test Sites</h1>
You can access not only single-line tags, but also class tags, for example:
# Access header tag
soup.header#
Access div tag
soup.div
Don't forget to define soup before this , as it is important to convert the HTML into a Python-friendly format.
For Python web scraping, we recommend using Google Chrome, it is very convenient and easy to use. Let's learn how to view the web page code using Chrome. First, you need to right-click the page you want to check, then click View code and you will see this:
View Element Code
Then click Select an element on the page to egypt telegram database test and you will notice that as you move your cursor to each element on the page, the elements menu shows its code.
Example
For example, if we move the cursor to Test Sites , the element will show that Test Sites is in an h1 tag . In Python, if you want to view the code of site elements, you can call tags. A characteristic feature of tags is that they always have < as a prefix and are often purple.
How to choose a solution for website parsing: classification and a large overview of programs, services and frameworks
STEP 6. ACCESS TO TAGS
If we, for example, want to access the h1 element using Python, we can simply type:
# Access h1 tag
soup.h1
The result will be:
soup.h1
Out[11]: <h1>Test Sites</h1>
You can access not only single-line tags, but also class tags, for example:
# Access header tag
soup.header#
Access div tag
soup.div
Don't forget to define soup before this , as it is important to convert the HTML into a Python-friendly format.