From 954e04476687f476af5ee00408fb677b55f7c70e Mon Sep 17 00:00:00 2001 From: Aman Date: Tue, 12 Dec 2023 15:14:02 +0530 Subject: [PATCH 1/6] BeautifulSoup4 article added --- _data/authors.yml | 7 +- _gettingstarted/beautifulsoup4.md | 235 ++++++++++++++++++ .../images/getting-started/beautifulsoup4.png | Bin 0 -> 565170 bytes .../getting-started-beautifulSoup-cover.png | Bin 0 -> 679966 bytes 4 files changed, 241 insertions(+), 1 deletion(-) create mode 100644 _gettingstarted/beautifulsoup4.md create mode 100644 assets/images/getting-started/beautifulsoup4.png create mode 100644 assets/images/getting-started/getting-started-beautifulSoup-cover.png diff --git a/_data/authors.yml b/_data/authors.yml index dd51200..abd1a2a 100644 --- a/_data/authors.yml +++ b/_data/authors.yml @@ -6,4 +6,9 @@ ashok: ayush: picture: # replace with avatar later name: Ayush Jain - twitter: AyushGanna \ No newline at end of file + twitter: AyushGanna + +aman: + picture: # replace with avatar later + name: Aman Clement + twitter: aman_aranha \ No newline at end of file diff --git a/_gettingstarted/beautifulsoup4.md b/_gettingstarted/beautifulsoup4.md new file mode 100644 index 0000000..ca5abf4 --- /dev/null +++ b/_gettingstarted/beautifulsoup4.md @@ -0,0 +1,235 @@ +--- +layout: article +title: BeautifulSoup4 +description: BeautifulSoup4 is a Python Library for web scraping. This is a popular tool for extracting data from HTML and XML files. +tags: [python, pip, piptrends, beautifulsoup, beautifulsoup4, bs4] +image: https://learn.piptrends.com/assets/images/getting-started/getting-started-beautifulSoup-cover.png +cover: /assets/images/getting-started/beautifulsoup4.png +article_header: + type: overlay + theme: dark + background_image: + gradient: 'linear-gradient(135deg, #5200FF, #FF8A98)' +date: 2023-12-12 +author: aman +--- + +## What is Web Scraping? +We all come across webpages, and we have a generic idea of how webpages display content using different HTML tags. The process of downloading this HTML code to extract relevant information is called web scraping. Python provides various libraries to achieve this,namely [Scrapy, selenium, beautifulsoup4](https://piptrends.com/compare/Scrapy-vs-beautifulsoup4-vs-selenium){:target="_blank"}, Today we will be looking at one of the most famous one, [BeautifulSoup4](https://piptrends.com/package/beautifulsoup4){:target="_blank"}. + +## Why BeautifulSoup? +BeautifulSoup is designed specifically for web scraping. It has a very user-friendly way to extract data from HTML files and parse XML documents. It has minimum dependencies, clean API,simple syntax, free to use and an active user community. + +## History and Trends +BeautifulSoup was initially developed as a project to scrape a website, its later versions allowed XML parsing (Version 2) and CSS selector (Version 3) support. The BeautifulSoup4 was a complete rewrite of the previous verisons offering support to Python3, Unicode support and a cleaner API. +The Current version(4.12.2) is well maintained and often used along with other libraries like Selenium and Pandas providing advanced web analysis and data scraping. + +## Getting Started + +Let's get started with an example, Consider an HTML document + +```python +html_doc = """ + + +The Rabbit's story + + + +

The Rabbit's story

+

Once upon a time there were three little rabbits; and their names were +Bob, +Joe and +Jill; +and they lived in a burrow.

+ +

The story continues ...

+ + +""" +``` + +Before we start extracting data, let us install the library : + +```python +pip install beautifulsoup4 +``` + +Import the beautifulsoup library : +```python +from bs4 import BeautifulSoup +``` + +Creating a BeautifulSoup object: +```python +soup = BeautifulSoup(html_doc, 'html.parser') +``` + +Now that we the bs4 object we can get started with extracting data, Here are some simple examples: + +```python +## Retrieving the title tag : + +> soup.title +# The Rabbit's story + + +## Retrieving the text from title tag : + +> soup.title.string +# u'The Rabbit's story' + + +## Retrieving text from nested tags: + +> soup.h1.a.string +# The story continues... + + +## Getting all the text from the html doc : + +> print(soup.get_text()) +# The Rabbit's story +# +# The Rabbit's story +# +# Once upon a time there were three little rabbits; and their names were +# Bob, +# Joe and +# Jill; +# and they lived in a burrow. +# +# The story continues ... +``` + +## BeautifulSoup Methods + +A better and more recommended way to search the DOM tree is using the BeautifulSoup methods find() and find_all(), Let us get directly into working with the tags : + +find() : + Is it recommended to use find() when you know there is only one element on the page that matches your query because find() returns only the first match of your query. + If you want to extract an element which does not have an unique tag_name, you need not worry as there are certain attributes that will help you to pinpoint your required element, Let us understand this better by working with an example. + +```python +exampleHTML = """ + + +My First Page + + +

This is a heading

+

This is a paragraph with link.

+
This is a element
+
This is a special element
+
This is a normal element
+ + + +""" + +## Creating the BeautifulSoup object : +> soup = BeautifulSoup(exampleHTML, 'html.parser') + +## Extracting The h1 element using find(): +> heading = soup.find("h1") +#

This is a heading

+ +##
Tag + Id : +> soup.find('div', id='element1') +#
This is a element
+ +## Using attrs : + +> soup.find('div', attrs={"class": "special-class"}) +#
This is a special element
+ +> soup.find('div', attrs={"class": "normal-class", "id": "element3"}).text +# This is a normal element +``` + + find_all() : You should use the .find_all() method when there are multiple instances of the element on the page that matches your query. .find_all() returns an array of elements. + +Let us go through this considering the previous example : +```python +## Finding all
  • +> soup.find_all('li') +# [
  • Item 1
  • +#
  • Item 2
  • +#
  • Item 3
  • +# ] + +##
    Tag + Id : +> soup.find_all('div', id='element1') +#
    This is a element
    + +## Using attrs : + +> soup.find_all('div', attrs={"class": "special-class"}) +#
    This is a special element
    + +> soup.find_all('div', attrs={"class": "normal-class", "id": "element3"}).text +# This is a normal element + +``` + +## CSS Selectors + +BeautifulSoup also provides a .select() method to extend support for the use of CSS Selectors to extract data from a webpage. Let us look at some of the most commonly used selectors : + +- .classes +- #ids +- [attributes=value] +- parent child +- parent > child +- sibling ~ sibling +- sibling + sibling +- :not(element.class, element2.class) +- :is(element.class, element2.class) +- parent:has(> child) + +Select returns a list of elements similar to find_all(), the elements can be accesed by indices, for eg, use [0] for the first element to be accessed. + +## XML Support +While BeautifulSoup4 can be used for both HTML and XML parsing, there are some small differences on how it functions, We will go through them one by one : + +Creating Object : +```python +# For HTML parsing +soup = BeautifulSoup(html_content, 'html.parser') + +# For XML parsing +soup = BeautifulSoup(xml_content, 'lxml') +``` + +Case Sensitive Tag Names and Attributes: +```python +# For HTML +soup.find_all('div') # finds
    ,
    ,
    , etc. + +# For XML +soup.find_all('Element') # only finds , not or +``` + +Handling NameSpaces : +```python +""" For HTML +HTML, traditionally does not use namespaces. +In HTML documents, elements and attributes are identified without namespace prefixes. +""" +# For XML +soup.find_all('ns:tag', {'ns': 'http://example.com/namespace'}) +``` + +Document Structure: + +HTML is usually more forgiving when it comes to malformed tags or documents with errors. Beautiful Soup is designed to handle these imperfections commonly found in HTML. +XML, on the other hand, is stricter, and documents must adhere to a well-formed structure. Beautiful Soup may not be as forgiving with poorly formed XML + + +## To Summarize + +BeautifulSoup is a powerful tool for working with HTML and XML, its uses in webscraping capabilities are already mentioned in this article, but its capabilities are not limited to this, It has a wide range of applications in Data Cleaning, Testing and Automation, Modifying Structures of Files, etc. As demonstrated in the article, BeautifulSoup4 helps developers to navigate the complexities of web pages effortlessly, making it an ideal choice for both beginners and experienced programmers. The library's popularity is not only attributed to its functionality but also to the active user community that supports it. 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2854330cf1de469e03ee0895c0e0278d19f61eba Mon Sep 17 00:00:00 2001 From: Aman Date: Wed, 13 Dec 2023 17:45:26 +0530 Subject: [PATCH 2/6] fixed image naming --- _gettingstarted/beautifulsoup4.md | 2 +- ...png => getting-started-beautifulsoup4-cover.png} | Bin 2 files changed, 1 insertion(+), 1 deletion(-) rename assets/images/getting-started/{getting-started-beautifulSoup-cover.png => getting-started-beautifulsoup4-cover.png} (100%) diff --git a/_gettingstarted/beautifulsoup4.md b/_gettingstarted/beautifulsoup4.md index ca5abf4..657676b 100644 --- a/_gettingstarted/beautifulsoup4.md +++ b/_gettingstarted/beautifulsoup4.md @@ -3,7 +3,7 @@ layout: article title: BeautifulSoup4 description: BeautifulSoup4 is a Python Library for web scraping. This is a popular tool for extracting data from HTML and XML files. tags: [python, pip, piptrends, beautifulsoup, beautifulsoup4, bs4] -image: https://learn.piptrends.com/assets/images/getting-started/getting-started-beautifulSoup-cover.png +image: https://learn.piptrends.com/assets/images/getting-started/getting-started-beautifulsoup4-cover.png cover: /assets/images/getting-started/beautifulsoup4.png article_header: type: overlay diff --git a/assets/images/getting-started/getting-started-beautifulSoup-cover.png b/assets/images/getting-started/getting-started-beautifulsoup4-cover.png similarity index 100% rename from assets/images/getting-started/getting-started-beautifulSoup-cover.png rename to assets/images/getting-started/getting-started-beautifulsoup4-cover.png From 1ee49fc006af3272ffc3fe8f5bf8e068415a6176 Mon Sep 17 00:00:00 2001 From: Aman Date: Tue, 12 Dec 2023 15:14:02 +0530 Subject: [PATCH 3/6] BeautifulSoup4 article added --- _data/authors.yml | 7 +- _gettingstarted/beautifulsoup4.md | 235 ++++++++++++++++++ .../images/getting-started/beautifulsoup4.png | Bin 0 -> 565170 bytes .../getting-started-beautifulSoup-cover.png | Bin 0 -> 679966 bytes 4 files changed, 241 insertions(+), 1 deletion(-) create mode 100644 _gettingstarted/beautifulsoup4.md create mode 100644 assets/images/getting-started/beautifulsoup4.png create mode 100644 assets/images/getting-started/getting-started-beautifulSoup-cover.png diff --git a/_data/authors.yml b/_data/authors.yml index dd51200..abd1a2a 100644 --- a/_data/authors.yml +++ b/_data/authors.yml @@ -6,4 +6,9 @@ ashok: ayush: picture: # replace with avatar later name: Ayush Jain - twitter: AyushGanna \ No newline at end of file + twitter: AyushGanna + +aman: + picture: # replace with avatar later + name: Aman Clement + twitter: aman_aranha \ No newline at end of file diff --git a/_gettingstarted/beautifulsoup4.md b/_gettingstarted/beautifulsoup4.md new file mode 100644 index 0000000..ca5abf4 --- /dev/null +++ b/_gettingstarted/beautifulsoup4.md @@ -0,0 +1,235 @@ +--- +layout: article +title: BeautifulSoup4 +description: BeautifulSoup4 is a Python Library for web scraping. This is a popular tool for extracting data from HTML and XML files. +tags: [python, pip, piptrends, beautifulsoup, beautifulsoup4, bs4] +image: https://learn.piptrends.com/assets/images/getting-started/getting-started-beautifulSoup-cover.png +cover: /assets/images/getting-started/beautifulsoup4.png +article_header: + type: overlay + theme: dark + background_image: + gradient: 'linear-gradient(135deg, #5200FF, #FF8A98)' +date: 2023-12-12 +author: aman +--- + +## What is Web Scraping? +We all come across webpages, and we have a generic idea of how webpages display content using different HTML tags. The process of downloading this HTML code to extract relevant information is called web scraping. Python provides various libraries to achieve this,namely [Scrapy, selenium, beautifulsoup4](https://piptrends.com/compare/Scrapy-vs-beautifulsoup4-vs-selenium){:target="_blank"}, Today we will be looking at one of the most famous one, [BeautifulSoup4](https://piptrends.com/package/beautifulsoup4){:target="_blank"}. + +## Why BeautifulSoup? +BeautifulSoup is designed specifically for web scraping. It has a very user-friendly way to extract data from HTML files and parse XML documents. It has minimum dependencies, clean API,simple syntax, free to use and an active user community. + +## History and Trends +BeautifulSoup was initially developed as a project to scrape a website, its later versions allowed XML parsing (Version 2) and CSS selector (Version 3) support. The BeautifulSoup4 was a complete rewrite of the previous verisons offering support to Python3, Unicode support and a cleaner API. +The Current version(4.12.2) is well maintained and often used along with other libraries like Selenium and Pandas providing advanced web analysis and data scraping. + +## Getting Started + +Let's get started with an example, Consider an HTML document + +```python +html_doc = """ + + +The Rabbit's story + + + +

    The Rabbit's story

    +

    Once upon a time there were three little rabbits; and their names were +Bob, +Joe and +Jill; +and they lived in a burrow.

    + +

    The story continues ...

    + + +""" +``` + +Before we start extracting data, let us install the library : + +```python +pip install beautifulsoup4 +``` + +Import the beautifulsoup library : +```python +from bs4 import BeautifulSoup +``` + +Creating a BeautifulSoup object: +```python +soup = BeautifulSoup(html_doc, 'html.parser') +``` + +Now that we the bs4 object we can get started with extracting data, Here are some simple examples: + +```python +## Retrieving the title tag : + +> soup.title +# The Rabbit's story + + +## Retrieving the text from title tag : + +> soup.title.string +# u'The Rabbit's story' + + +## Retrieving text from nested tags: + +> soup.h1.a.string +# The story continues... + + +## Getting all the text from the html doc : + +> print(soup.get_text()) +# The Rabbit's story +# +# The Rabbit's story +# +# Once upon a time there were three little rabbits; and their names were +# Bob, +# Joe and +# Jill; +# and they lived in a burrow. +# +# The story continues ... +``` + +## BeautifulSoup Methods + +A better and more recommended way to search the DOM tree is using the BeautifulSoup methods find() and find_all(), Let us get directly into working with the tags : + +find() : + Is it recommended to use find() when you know there is only one element on the page that matches your query because find() returns only the first match of your query. + If you want to extract an element which does not have an unique tag_name, you need not worry as there are certain attributes that will help you to pinpoint your required element, Let us understand this better by working with an example. + +```python +exampleHTML = """ + + +My First Page + + +

    This is a heading

    +

    This is a paragraph with link.

    +
    This is a element
    +
    This is a special element
    +
    This is a normal element
    +
      +
    • Item 1
    • +
    • Item 2
    • +
    • Item 3
    • +
    + + +""" + +## Creating the BeautifulSoup object : +> soup = BeautifulSoup(exampleHTML, 'html.parser') + +## Extracting The h1 element using find(): +> heading = soup.find("h1") +#

    This is a heading

    + +##
    Tag + Id : +> soup.find('div', id='element1') +#
    This is a element
    + +## Using attrs : + +> soup.find('div', attrs={"class": "special-class"}) +#
    This is a special element
    + +> soup.find('div', attrs={"class": "normal-class", "id": "element3"}).text +# This is a normal element +``` + + find_all() : You should use the .find_all() method when there are multiple instances of the element on the page that matches your query. .find_all() returns an array of elements. + +Let us go through this considering the previous example : +```python +## Finding all
  • +> soup.find_all('li') +# [
  • Item 1
  • +#
  • Item 2
  • +#
  • Item 3
  • +# ] + +##
    Tag + Id : +> soup.find_all('div', id='element1') +#
    This is a element
    + +## Using attrs : + +> soup.find_all('div', attrs={"class": "special-class"}) +#
    This is a special element
    + +> soup.find_all('div', attrs={"class": "normal-class", "id": "element3"}).text +# This is a normal element + +``` + +## CSS Selectors + +BeautifulSoup also provides a .select() method to extend support for the use of CSS Selectors to extract data from a webpage. Let us look at some of the most commonly used selectors : + +- .classes +- #ids +- [attributes=value] +- parent child +- parent > child +- sibling ~ sibling +- sibling + sibling +- :not(element.class, element2.class) +- :is(element.class, element2.class) +- parent:has(> child) + +Select returns a list of elements similar to find_all(), the elements can be accesed by indices, for eg, use [0] for the first element to be accessed. + +## XML Support +While BeautifulSoup4 can be used for both HTML and XML parsing, there are some small differences on how it functions, We will go through them one by one : + +Creating Object : +```python +# For HTML parsing +soup = BeautifulSoup(html_content, 'html.parser') + +# For XML parsing +soup = BeautifulSoup(xml_content, 'lxml') +``` + +Case Sensitive Tag Names and Attributes: +```python +# For HTML +soup.find_all('div') # finds
    ,
    ,
    , etc. + +# For XML +soup.find_all('Element') # only finds , not or +``` + +Handling NameSpaces : +```python +""" For HTML +HTML, traditionally does not use namespaces. +In HTML documents, elements and attributes are identified without namespace prefixes. +""" +# For XML +soup.find_all('ns:tag', {'ns': 'http://example.com/namespace'}) +``` + +Document Structure: + +HTML is usually more forgiving when it comes to malformed tags or documents with errors. Beautiful Soup is designed to handle these imperfections commonly found in HTML. +XML, on the other hand, is stricter, and documents must adhere to a well-formed structure. Beautiful Soup may not be as forgiving with poorly formed XML + + +## To Summarize + +BeautifulSoup is a powerful tool for working with HTML and XML, its uses in webscraping capabilities are already mentioned in this article, but its capabilities are not limited to this, It has a wide range of applications in Data Cleaning, Testing and Automation, Modifying Structures of Files, etc. As demonstrated in the article, BeautifulSoup4 helps developers to navigate the complexities of web pages effortlessly, making it an ideal choice for both beginners and experienced programmers. The library's popularity is not only attributed to its functionality but also to the active user community that supports it. 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5744f6f80cd8f77e0c1469a7b5873a1644f7e5bd Mon Sep 17 00:00:00 2001 From: Aman Date: Wed, 13 Dec 2023 17:45:26 +0530 Subject: [PATCH 4/6] fixed image naming --- _gettingstarted/beautifulsoup4.md | 2 +- ...png => getting-started-beautifulsoup4-cover.png} | Bin 2 files changed, 1 insertion(+), 1 deletion(-) rename assets/images/getting-started/{getting-started-beautifulSoup-cover.png => getting-started-beautifulsoup4-cover.png} (100%) diff --git a/_gettingstarted/beautifulsoup4.md b/_gettingstarted/beautifulsoup4.md index ca5abf4..657676b 100644 --- a/_gettingstarted/beautifulsoup4.md +++ b/_gettingstarted/beautifulsoup4.md @@ -3,7 +3,7 @@ layout: article title: BeautifulSoup4 description: BeautifulSoup4 is a Python Library for web scraping. This is a popular tool for extracting data from HTML and XML files. tags: [python, pip, piptrends, beautifulsoup, beautifulsoup4, bs4] -image: https://learn.piptrends.com/assets/images/getting-started/getting-started-beautifulSoup-cover.png +image: https://learn.piptrends.com/assets/images/getting-started/getting-started-beautifulsoup4-cover.png cover: /assets/images/getting-started/beautifulsoup4.png article_header: type: overlay diff --git a/assets/images/getting-started/getting-started-beautifulSoup-cover.png b/assets/images/getting-started/getting-started-beautifulsoup4-cover.png similarity index 100% rename from assets/images/getting-started/getting-started-beautifulSoup-cover.png rename to assets/images/getting-started/getting-started-beautifulsoup4-cover.png From 405f249edd9049fceaa769623007ff8195b72243 Mon Sep 17 00:00:00 2001 From: Aman Date: Thu, 14 Dec 2023 18:12:23 +0530 Subject: [PATCH 5/6] authors.yml changes --- Gemfile.lock | 2 +- _data/authors.yml | 4 ---- _gettingstarted/beautifulsoup4.md | 11 +++++------ 3 files changed, 6 insertions(+), 11 deletions(-) diff --git a/Gemfile.lock b/Gemfile.lock index 4f8b963..81d718f 100644 --- a/Gemfile.lock +++ b/Gemfile.lock @@ -24,7 +24,7 @@ GEM eventmachine (>= 0.12.9) http_parser.rb (~> 0) eventmachine (1.2.7) - ffi (1.15.5-x64-mingw-ucrt) + ffi (1.15.5) forwardable-extended (2.6.0) gemoji (4.1.0) google-protobuf (3.23.4-x64-mingw-ucrt) diff --git a/_data/authors.yml b/_data/authors.yml index abd1a2a..bd81239 100644 --- a/_data/authors.yml +++ b/_data/authors.yml @@ -8,7 +8,3 @@ ayush: name: Ayush Jain twitter: AyushGanna -aman: - picture: # replace with avatar later - name: Aman Clement - twitter: aman_aranha \ No newline at end of file diff --git a/_gettingstarted/beautifulsoup4.md b/_gettingstarted/beautifulsoup4.md index 657676b..77de28b 100644 --- a/_gettingstarted/beautifulsoup4.md +++ b/_gettingstarted/beautifulsoup4.md @@ -10,8 +10,10 @@ article_header: theme: dark background_image: gradient: 'linear-gradient(135deg, #5200FF, #FF8A98)' -date: 2023-12-12 -author: aman +date: 2023-12-14 +aman: + name: Aman Clement + twitter: aman_aranha --- ## What is Web Scraping? @@ -229,7 +231,4 @@ Document Structure: HTML is usually more forgiving when it comes to malformed tags or documents with errors. Beautiful Soup is designed to handle these imperfections commonly found in HTML. XML, on the other hand, is stricter, and documents must adhere to a well-formed structure. Beautiful Soup may not be as forgiving with poorly formed XML - -## To Summarize - -BeautifulSoup is a powerful tool for working with HTML and XML, its uses in webscraping capabilities are already mentioned in this article, but its capabilities are not limited to this, It has a wide range of applications in Data Cleaning, Testing and Automation, Modifying Structures of Files, etc. As demonstrated in the article, BeautifulSoup4 helps developers to navigate the complexities of web pages effortlessly, making it an ideal choice for both beginners and experienced programmers. The library's popularity is not only attributed to its functionality but also to the active user community that supports it. Combining BeatifulSoup with other advanced libraries can help to unlock ocean of new use cases. +## Further Reading From 2ee2451281f720ea808cd2fcb078e32f9341f34e Mon Sep 17 00:00:00 2001 From: Aman Date: Thu, 14 Dec 2023 18:26:48 +0530 Subject: [PATCH 6/6] Content changes --- _gettingstarted/beautifulsoup4.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/_gettingstarted/beautifulsoup4.md b/_gettingstarted/beautifulsoup4.md index 7f2d64d..abcd493 100644 --- a/_gettingstarted/beautifulsoup4.md +++ b/_gettingstarted/beautifulsoup4.md @@ -11,7 +11,7 @@ article_header: background_image: gradient: 'linear-gradient(135deg, #5200FF, #FF8A98)' date: 2023-12-14 -aman: +author: name: Aman Clement twitter: aman_aranha --- @@ -233,3 +233,6 @@ XML, on the other hand, is stricter, and documents must adhere to a well-formed ## Further Reading +- [beautifulsoup4 4.12.2 Pypi](https://pypi.org/project/beautifulsoup4/){:target="_blank"} +- [beautifulsoup4](https://beautiful-soup-4.readthedocs.io/en/latest/){:target="_blank"} +- [TutorialsPoint - Quick guide](https://www.tutorialspoint.com/beautiful_soup/beautiful_soup_quick_guide.htm){:target="_blank"}

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